WO2020177742A1 - Evaluation and treatment device and method for hemiplegia learned non-use - Google Patents

Evaluation and treatment device and method for hemiplegia learned non-use Download PDF

Info

Publication number
WO2020177742A1
WO2020177742A1 PCT/CN2020/078027 CN2020078027W WO2020177742A1 WO 2020177742 A1 WO2020177742 A1 WO 2020177742A1 CN 2020078027 W CN2020078027 W CN 2020078027W WO 2020177742 A1 WO2020177742 A1 WO 2020177742A1
Authority
WO
WIPO (PCT)
Prior art keywords
activity
data
upper limb
acceleration
affected
Prior art date
Application number
PCT/CN2020/078027
Other languages
French (fr)
Chinese (zh)
Inventor
危昔均
熊磊
邱汉文
谭景安
Original Assignee
南方医科大学深圳医院
阿凡达康复科技(深圳)有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 南方医科大学深圳医院, 阿凡达康复科技(深圳)有限公司 filed Critical 南方医科大学深圳医院
Publication of WO2020177742A1 publication Critical patent/WO2020177742A1/en

Links

Images

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb

Definitions

  • the invention relates to the technical field of evaluating the severity of learned disuse on the affected side of hemiplegia, and in particular to a portable device and method for evaluating and treating hemiplegia learned disuse.
  • Limb hemiplegia is a common symptom in many patients with brain injuries. Hemiplegia makes patients more willing to use the uninhibited upper limbs to complete activities of daily living, while the chances of using the affected upper limbs are drastically reduced, and ultimately affect the recovery process of upper limb function. This is learned disuse and is a thorny problem facing clinical rehabilitation treatment. .
  • the treatment methods of learned disuse mainly include restrictive induced exercise therapy and mandatory use. Both of these methods need to restrict the function of the healthy side of hemiplegic patients to encourage patients to use the affected side more. Among them, restrictive induction therapy also requires intensive exercise training every day. These methods can only be used for patients with good upper extremity function, and are not suitable for patients with low function, and restricting the method on the healthy side will seriously affect the activities of daily living of hemiplegic patients.
  • the learned disused questionnaire measurement technology is seriously affected by subjective factors, and the bilateral acceleration sensor cannot realize the information exchange between the bilateral devices, and the clinical application is not convenient enough.
  • the restricted induced exercise therapy and mandatory use in the learned disuse treatment have a narrow range of use and affect the patient’s ability of daily living.
  • the sensory reminder method of unilateral wearable devices cannot be based on the different learned disuse of different patients. Use severity and output precise feeling to remind intervention.
  • a portable hemiplegia disuse assessment and treatment device and method are proposed.
  • the main engine and auxiliary machine By wearing the main engine and auxiliary machine on the patient’s affected and healthy upper limbs, the auxiliary machine transmits the detected motion data to the main machine in real time, which improves the convenience and objectivity of clinical evaluation of learned disuse, and improves the patient’s response to hemiplegia.
  • the self-awareness of learned disuse is calculated through the cloud server, and the strategy of dynamically adjusting the reminder frequency according to the learned disuse index makes the intervention method of sensory reminder exercise more personalized and accurate.
  • a device for evaluating and treating hemiplegia learned disuse including a host, an auxiliary machine, a mobile terminal, and a cloud server.
  • the host and the auxiliary machine are matched through wireless communication to transmit data in real time.
  • the host worn on the patient’s affected upper limb, is used to detect the movement data of the affected upper limb, and transmit the movement data of the affected upper limb and the unaffected upper limb to the cloud server at regular intervals, and according to the learned disuse index and the learned disuse index transmitted from the cloud server
  • the corresponding treatment parameter operation reminder function
  • Auxiliary machine which is worn on the uninvolved upper limb of the patient, detects the movement data of uninhibited upper limb, and transmits it to the host wirelessly in real time;
  • the cloud server is used to calculate the learned disuse index and corresponding treatment parameters of the affected side according to the received movement data of the uninfected upper limb and the affected upper limb, and transmit the learned disuse index and the corresponding treatment parameters to In the host, the exercise data includes the activity of the affected side and the activity of the healthy side.
  • the learned disuse index is obtained by comprehensively comparing the activity amount of the affected side upper limb with the activity amount of the uninvolved upper limb by the cloud server, so The amount of activity on the affected side is obtained by the movement acceleration and duration of the upper limb on the affected side, and the amount of activity on the unaffected side is obtained by the movement acceleration and duration of the upper limb on the unaffected side.
  • the activity amount of the affected side and the activity amount of the healthy side are evaluated according to the following standards:
  • the acceleration data of each dimension of the acceleration sensor is integrated to form an acceleration change curve. If the patient’s ipsilateral acceleration and unhealthy acceleration exceed the minimum motion threshold, the acceleration curve is continuously recorded; otherwise, if the ipsilateral acceleration and unhealthy acceleration Below the minimum movement threshold, the acceleration curve will not be recorded. According to the specific time period, the proportion of time occupied by the acceleration curve is the amount of activity.
  • the host includes a first detection unit, a first storage unit, a first communication unit, an indication unit, a display unit, a data analysis unit, and a first A processing unit, the first processing unit is electrically connected to the first detection unit, the first storage unit, the first communication unit, the indication unit, the display unit, and the data analysis unit;
  • the first detection unit is used to detect movement data of the affected upper limb
  • the first storage unit is used to store the motion data and other operating data detected by the host and auxiliary machines;
  • the first communication unit is used for wireless communication with the cloud server and auxiliary machines;
  • the indicating unit is used to run the reminder function according to the control instructions of the host;
  • the data analysis unit is used to perform preliminary analysis on the motion data detected by the first detection unit and the second detection unit, and transmit the preliminary analysis result data to the cloud server through the first communication unit.
  • the auxiliary machine includes a second detection unit, a second storage unit, a second communication unit, and a second processing unit, and the second processing unit Respectively electrically connected with the second detection unit, the second storage unit, and the second communication unit;
  • the second detection unit is used to detect the movement data of the patient's healthy upper limb
  • the second storage unit is used to store the movement data of the healthy upper limb and other operating data of the auxiliary machine
  • the second communication unit is used for wireless communication with the host.
  • the first communication unit adopts WiFi or mobile communication mode
  • the second communication unit adopts Bluetooth communication mode
  • the first detection unit and the second detection unit are acceleration sensor units.
  • the content displayed by the display unit includes the learned disuse index, the affected side activity volume, the healthy side activity volume, and the corresponding learned disuse index The color indicator function of the index.
  • the second aspect is a method for evaluating and treating hemiplegia learned disuse, using the hemiplegic learned disuse evaluation and treatment device proposed in the first aspect, including steps:
  • the auxiliary machine detects the movement data of the patient's contralateral upper limb and transmits it to the host in real time;
  • the host detects the movement data of the affected upper limb of the patient, together with the received movement data of the uninhibited upper limb, the data processing unit performs preliminary analysis, and transmits the preliminary analysis result data to the cloud server, where the movement data includes the movement of the affected side Volume and healthy side activity;
  • the cloud server calculates the activity amount of the affected side and the activity amount of the healthy side according to the exercise data
  • the cloud server comprehensively compares the activity amount of the affected side and the activity quality data of the affected side, and calculates the learned disuse index of the affected side and the corresponding treatment parameters;
  • the host uses the learned disuse index and the treatment parameters to calculate the activity of the affected side and the activity of the healthy side.
  • the acceleration data of each dimension of the acceleration sensor is integrated to form an acceleration change curve. If the patient’s ipsilateral acceleration and unhealthy acceleration exceed the minimum motion threshold, the acceleration curve is continuously recorded; otherwise, if the ipsilateral acceleration and unhealthy acceleration Below the minimum movement threshold, the acceleration curve is not recorded. According to the specific time period, the proportion of time occupied by the recording acceleration curve is the amount of activity.
  • the cloud server calculates the activity amount of the affected side and the activity amount of the healthy side according to the exercise data, including the steps:
  • the amount of activity on the healthy side is calculated based on the acceleration and the length of the movement.
  • the host and auxiliary machine are respectively worn on the patient's affected and unhealthy upper limbs, and the auxiliary machine transmits the detected motion data to the host in real time , Improve the convenience and objectivity of clinical evaluation of learned disuse, and enhance the self-awareness of hemiplegic patients on learned disuse.
  • the learned disuse index is calculated through the cloud server, and the strategy of dynamically adjusting the reminder frequency according to the learned disuse index makes the intervention method of sensory reminder exercise more personalized and accurate.
  • Figure 1 is a schematic diagram of the logical connection of a device for evaluating and treating hemiplegia learned disuse according to the present invention
  • FIG. 2 is a schematic diagram of the logical connection of the host embodiment in the device for evaluating and treating hemiplegia learned disuse according to the present invention
  • FIG. 3 is a schematic diagram of the logical connection of an auxiliary machine embodiment in a device for evaluating and treating hemiplegia learned disuse according to the present invention
  • FIG. 4 is a schematic diagram of an embodiment of the display content of the host in a device for evaluating and treating hemiplegia learned disuse proposed by the present invention
  • Fig. 5 is a schematic diagram of the steps of a method for evaluating and treating hemiplegia learned disuse proposed by the present invention
  • FIG. 6 is a schematic diagram of the sub-steps of S3 in the method for evaluating and treating hemiplegia learned disuse proposed by the present invention
  • the names of the parts referred to by the numbers in the figure are: 100—host, 200—auxiliary machine, 300—server, 110—first detection unit, 120—first storage unit, 130—first Communication unit, 140-indicating unit, 150-display unit, 160-data processing unit, 170-first processing unit, 210-second detection unit, 220-second storage unit, 230-first Two communication unit, 240-the second processing unit.
  • FIG. 1 is a schematic diagram of the logical connection of a device for evaluating and treating hemiplegia learned disuse according to the present invention, including a host 100, an auxiliary device 200, and a mobile terminal As well as the cloud server 300, the host 100 and the auxiliary machine 200 are matched through wireless communication to transmit data, and the host 100 communicates with the mobile terminal and the cloud server 300 wirelessly.
  • the host 100 which is worn on the patient’s affected upper limbs, is used to detect the movement data of the affected upper limbs, conduct preliminary analysis on the movement data of the affected and unaffected upper limbs, and transmit the preliminary analysis results to the cloud server 300 regularly, and according to the cloud server
  • the learned disuse index and the corresponding treatment parameters transmitted by 300 run reminder function.
  • the auxiliary machine 200 is worn on the uninhibited upper limb of the patient and is used to detect the movement data of the uninhibited upper limb and transmit it to the host 100 wirelessly in real time.
  • the auxiliary machine 200 By wearing the main body 100 and the auxiliary machine 200 on the patient’s affected upper limb and the healthy side of the upper limb respectively, the auxiliary machine 200 transmits the detected motion data to the main machine 100 in real time, which improves the convenience and objectivity of clinical evaluation of learned disuse. Improve the self-awareness of hemiplegic patients on learned disuse.
  • the cloud server 300 is used to calculate the learned disuse index of the affected side and the corresponding treatment parameters according to the received exercise data of the upper limbs of the uninvolved side and the affected side, and transmit the learned disuse index to the host 100, acceleration and long-term motion data Including the amount of activity on the affected side and the amount of activity on the healthy side.
  • the auxiliary machine 200 may also transmit data to the cloud server 300 to calculate the learned disuse index and the corresponding treatment parameters.
  • the learned disuse index is obtained by the cloud server 300 through the calculated amount of activity on the affected side and the amount of activity on the uninvolved side.
  • the amount of activity on the affected side is obtained by the acceleration and duration of the upper limb movement of the affected side.
  • the acceleration and duration of upper limb movement are obtained.
  • the cloud server 300 calculates the learned disuse index and corresponding treatment parameters, and dynamically adjusts the reminder frequency strategy according to the learned disuse index and the corresponding treatment parameters, so that the intervention method of sensory reminder exercise is more personalized and accurate.
  • the treatment parameters mentioned here include the vibration reminder cycle of the affected side, the color change of the display unit, and the comparison of the amount of activity of the upper limbs on both sides.
  • the amount of activity of the affected upper limb and the healthy upper limb can be evaluated by the following criteria:
  • the acceleration data of each dimension of the acceleration sensor is integrated to form an acceleration curve.
  • the acceleration curve is continuously recorded. Otherwise, the acceleration curve of the patient's upper limb activity is lower than the minimum acceleration threshold. .
  • the proportion of time occupied by the recording acceleration curve is the amount of activity.
  • the cloud server 300 obtains the learned disuse index based on the ratio of the activity amount of the affected side and the healthy side by deleting the motion data when the upper limbs are at the same time or moving at the same time.
  • Figure 2 is a schematic diagram of the logical connection of an embodiment of the host 100 in the device for evaluating and treating hemiplegia learned disuse according to the present invention, including a first detection unit 110 and a first storage unit 120 , The first communication unit 130, the instruction unit 140, the display unit 150, the data analysis unit, and the first processing unit 170.
  • the first processing unit 170 is connected to the first detection unit 110, the first storage unit 120, and the first communication unit 130, respectively.
  • the indicating unit 140, the display unit 150, and the data analysis unit are electrically connected.
  • the first detection unit 110 is used to detect the movement data of the upper limb on the affected side; the first storage unit 120 is used to store the movement data and other operating data detected by the host 100 and the auxiliary machine 200; the first communication unit 130 is used to communicate with the cloud The server 300 and the auxiliary machine 200 perform wireless communication; the instruction unit 140 is configured to run the reminder function according to the control instruction of the first processing unit 170 in the host 100.
  • the reminder function mainly includes vibration reminder and color reminder.
  • the color changes according to the magnitude of the learned disuse index of the affected upper limb.
  • the severity of the learned disuse varies from mild to severe, corresponding to green To red, the change trend of the color corresponds to the change trend of the severity of its learned disuse.
  • the data analysis unit is configured to perform a preliminary analysis on the motion data detected by the first detection unit 110 and the second detection unit 210, and transmit the preliminary analysis result data to the cloud server 300 through the first communication unit 130.
  • the first communication unit 130 is a WiFi or mobile communication mode
  • the first detection unit 110 is an acceleration sensor unit.
  • auxiliary machine 200 is shown in Figure 3, which is a schematic diagram of the logical connection of an embodiment of the auxiliary machine 200 in the hemiplegia learned disuse assessment and treatment device proposed by the present invention, including a second detection unit 210 and a second storage
  • the unit 220, the second communication unit 230, and the second processing unit 240 are electrically connected to the second detection unit 210, the second storage unit 220, and the second communication unit 230, respectively.
  • the second detection unit 210 is used to detect the movement data of the patient's healthy side of the upper limb; the second storage unit 220 is used to store movement data of the healthy side of the upper limb and other operating data of the auxiliary machine 200; the second communication unit 230 is used to communicate with The host 100 communicates.
  • the second communication unit 230 is a Bluetooth communication mode, and the second detection unit 210 is an acceleration sensor unit.
  • FIG. 4 is a schematic diagram of an embodiment of the display content of the host 100 in the device for evaluating and treating hemiplegia learned disuse according to the present invention.
  • the content displayed by the display unit 150 includes time and learned disuse. Index, the activity of the affected side, the activity of the healthy side and the color indicator function corresponding to the learned disuse index.
  • Figure 5 is a schematic diagram of the step flow diagram of a hemiplegia learned disuse assessment and treatment method proposed by the present invention, a hemiplegia learned disuse assessment and treatment method, using the first aspect proposed Hemiplegia learned disuse assessment and treatment device, including steps:
  • the auxiliary machine 200 detects the movement data of the patient's healthy upper limb in real time, and transmits it to the host 100 in real time.
  • the auxiliary machine 200 includes a second detection unit 210, a second storage unit 220, a second communication unit 230, and a second processing unit 240.
  • the second detection unit 210 is an acceleration sensor unit, which is used to detect movement data of the patient's healthy upper limb.
  • the second storage unit 220 is used to store the detected motion data of the upper limb of the healthy side and other operating data of the auxiliary machine 200.
  • the second communication unit 230 communicates with the host 100 in a Bluetooth communication manner.
  • the host 100 detects the movement data of the affected upper limb of the patient, together with the received movement data of the uninhibited upper limb, the data processing unit 160 performs preliminary analysis, and transmits the preliminary analysis result data to the cloud server 300, where the acceleration and the long-term movement data Including the amount of activity on the affected side and the amount of activity on the healthy side.
  • the host 100 includes a first detection unit 110, a first storage unit 120, a first communication unit 130, an indication unit 140, a display unit 150, a data analysis unit, and a first processing unit 170.
  • the first detection unit 110 is an acceleration sensor unit that detects the movement data of the upper limb on the affected side; the first storage unit 120 is used to store the movement data and other operating data detected by the host 100 and the auxiliary machine 200; the first communication unit 130 uses WiFi or mobile
  • the communication method performs wireless communication with the cloud server 300 and the auxiliary machine 200; the instruction unit 140 is used for running the reminder function according to the control instruction of the first processing unit 170 in the host 100.
  • the reminder function mainly includes vibration reminder and color reminder.
  • the color changes according to the size of the learned disuse index of the affected upper limb.
  • the severity of learned disuse varies from mild to severe, corresponding to green to red.
  • the change trend corresponds to the change trend of the severity of its learned disuse.
  • the data analysis unit is configured to perform preliminary analysis on the motion data detected by the first detection unit 110 and the second detection unit 210, and transmit the preliminary analysis result data to the cloud server 300 through the first communication unit 130.
  • the cloud server 300 calculates the activity amount of the affected side and the activity amount of the healthy side according to the exercise data.
  • Fig. 6 is a schematic diagram of the sub-steps of S3 in the method for evaluating and treating hemiplegia learned disuse proposed by the present invention.
  • Step S3 includes the steps:
  • S32 Calculate the amount of activity of the healthy side according to the acceleration and the length of the movement of the healthy side.
  • the cloud server 300 is used to calculate the learned disuse index and corresponding treatment parameters of the affected side according to the received exercise data of the uninvolved upper limbs and the affected side, and transmit the learned disuse index and the corresponding treatment parameters to the host 100,
  • the movement data includes the acceleration and duration of the movement of the affected upper limb and the healthy upper limb.
  • the host 100 uses the learned disuse index and parameter treatment parameters, and the host 100 outputs a reminder function, and the patient reminds the patient to exercise the affected upper limb.
  • the cloud server 300 calculates the learned disuse index, and dynamically adjusts the reminder frequency strategy according to the learned disuse index, so that the intervention method of sensory reminder exercise is more personalized and accurate.
  • the host 100 and the auxiliary machine 200 are respectively worn on the patient’s affected and unhealthy upper limbs, and the auxiliary machine 200 transmits the detected motion data to
  • the host 100 improves the convenience and objectivity of clinical evaluation of learned disuse, and enhances the self-awareness of hemiplegic patients on learned disuse.
  • the cloud server 300 calculates the learned disuse index, and dynamically adjusts the reminder frequency strategy according to the learned disuse index, so that the intervention method of sensory reminder exercise is more personalized and accurate.

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Physics & Mathematics (AREA)
  • Dentistry (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Physiology (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

Disclosed are an evaluation and treatment device and method for hemiplegia learned non-use. The device comprises a host machine (100), an auxiliary machine (200), a mobile terminal and a cloud server (300). The host machine (100) detects movement data of an upper limb on the affected side, periodically transmits the movement data of the upper limb on the affected side and movement data of an upper limb on the healthy side to the cloud server (300), and runs a reminder function; the auxiliary machine (200) detects the movement data of the upper limb on the healthy side and wirelessly transmits the data to the host machine (100) in real time; the cloud server (300) calculates the learned non-use index of the affected side according to the received movement data of the upper limb on the healthy side and the upper limb on the affected side, and transmits the learned non-use index and corresponding treatment parameters to the host machine (100). The method comprises: the auxiliary machine (200) detects the movement data of the upper limb on the healthy side of a patient in real time; the host machine (100) transmits the received movement data of the upper limb on the healthy side and preliminary analysis result data to the cloud server (300); and the cloud server (300) calculates the learned non-use index of the affected side and the corresponding treatment parameters. The evaluation and treatment device for hemiplegia learned non-use improves the convenience and objectivity of clinical evaluation on learned non-use such that the interventional sensory cueing treatment method is more personalized and precise.

Description

一种偏瘫习得性废用评估和治疗装置及方法Device and method for evaluating and treating hemiplegia learned disuse 技术领域Technical field
本发明涉及偏瘫患侧的习得性废用严重程度评估技术领域，特别涉及一种便携式的偏瘫习得性废用评估和治疗装置及方法。The invention relates to the technical field of evaluating the severity of learned disuse on the affected side of hemiplegia, and in particular to a portable device and method for evaluating and treating hemiplegia learned disuse.
背景技术Background technique
肢体偏瘫是许多脑部损伤患者经常出现的症状。偏瘫使患者更愿意使用健侧上肢完成日常生活活动，而患侧上肢的使用机会急剧减少，并最终影响上肢功能的恢复进程，这就是习得性废用，是康复治疗临床正在面临的棘手问题。Limb hemiplegia is a common symptom in many patients with brain injuries. Hemiplegia makes patients more willing to use the uninhibited upper limbs to complete activities of daily living, while the chances of using the affected upper limbs are drastically reduced, and ultimately affect the recovery process of upper limb function. This is learned disuse and is a thorny problem facing clinical rehabilitation treatment. .
***较好的患者，并不适用于功能低下的患者，并且限制健侧上的方法会严重影响偏瘫患者的日常生活活动能力。此外，也有采用患侧腕部穿戴加速度传感器和震动装置提醒患者使用患侧上肢的方式，能较好地应用于功能较差的患者，也不需要限制健侧肢体，不影响患者的日常生活能力，但是，这些方法只能输出固定的感觉提醒信号，而收集的单侧加速度传感器信息没有很好地利用，也不够完整。因为，习得性废用涉及双侧上肢的使用情况，单侧加速度传感器反映的习得性废用严重程度不够精确。The treatment methods of learned disuse mainly include restrictive induced exercise therapy and mandatory use. Both of these methods need to restrict the function of the healthy side of hemiplegic patients to encourage patients to use the affected side more. Among them, restrictive induction therapy also requires intensive exercise training every day. These methods can only be used for patients with good upper extremity function, and are not suitable for patients with low function, and restricting the method on the healthy side will seriously affect the activities of daily living of hemiplegic patients. In addition, there is also a way to remind the patient to use the upper limb of the affected side by wearing an acceleration sensor and a vibration device on the affected side of the wrist, which can be better applied to patients with poor functions, and does not need to restrict the uninvolved limb, and does not affect the patient’s ability of daily life However, these methods can only output a fixed sensory reminder signal, and the collected unilateral acceleration sensor information is not well utilized and is not complete. Because learned disuse involves the use of both upper limbs, the severity of learned disuse reflected by the unilateral acceleration sensor is not accurate enough.
要想加快患侧的恢复进程，需要对患者患侧的习得性废用严重程度进行精准评估和制定相应的康复干预策略。To speed up the recovery process of the affected side, it is necessary to accurately evaluate the severity of the learned disuse of the affected side and formulate corresponding rehabilitation intervention strategies.
传统的习得性废用评价方法主要采用问卷的形式对患者进行筛查，从患者的日常生活表现获取其习得性废用的严重程度。但是这种方法受人为因素的影响较大，在临床疗效观察中存在诸多缺点。也有人采用双侧加速度传感器对患者的双侧使用时间比例进行比较测试，以便更客观地反映习得性废用，但双侧穿戴设备并不能实现实时的信息同步，只能分别将两个穿戴设备的数据取出进行分析。Traditional learning disuse evaluation methods mainly use questionnaires to screen patients, and obtain the severity of learned disuse from the patients’ daily life performance. However, this method is greatly affected by human factors, and has many shortcomings in the observation of clinical efficacy. Some people also use bilateral acceleration sensors to compare and test the ratio of the patient's bilateral use time in order to more objectively reflect learned disuse. However, bilateral wearable devices cannot achieve real-time information synchronization and can only wear two wearable devices separately. The data of the equipment is taken out for analysis.
综上，习得性废用的问卷测量技术受主观因素影响较严重，而双侧加速度传感器也不能实现双侧设备的信息互通，临床应用不够便捷。习得性废用治疗方式中的限制性诱导运动疗法和强制性使用均使用范围窄，且影响患者日常生活能力，而单侧穿戴设备的感觉提醒方法并不能依据不同患者的不同习得性废用严重程度，输出精准的感觉提醒干预。In summary, the learned disused questionnaire measurement technology is seriously affected by subjective factors, and the bilateral acceleration sensor cannot realize the information exchange between the bilateral devices, and the clinical application is not convenient enough. The restricted induced exercise therapy and mandatory use in the learned disuse treatment have a narrow range of use and affect the patient’s ability of daily living. The sensory reminder method of unilateral wearable devices cannot be based on the different learned disuse of different patients. Use severity and output precise feeling to remind intervention.
发明概述Summary of the invention
技术问题technical problem
问题的解决方案The solution to the problem
技术解决方案Technical solutions
针对现有的习得性废用治疗方式中存在评估不够精确、临床应用不便捷进而影响其干预治疗效果的问题，提出一种便携式的偏瘫习得性废用评估和治疗装置及方法。通过在患者的患侧和健侧上肢分别佩戴主机和辅机，辅机将检测到的运动数据实时传输到主机，提升了临床评价习得性废用的便利和客观程度，提升了偏瘫患者对习得性废用的自我意识。通过云服务器计算习得性废用指数，依据习得性废用指数动态调整提醒频率的策略，使感觉提醒运动的干预方法更加个性化和精准。Aiming at the problems of insufficient assessment and inconvenient clinical application in the existing treatment methods of learned disuse, which affects the effect of intervention treatment, a portable hemiplegia disuse assessment and treatment device and method are proposed. By wearing the main engine and auxiliary machine on the patient’s affected and healthy upper limbs, the auxiliary machine transmits the detected motion data to the main machine in real time, which improves the convenience and objectivity of clinical evaluation of learned disuse, and improves the patient’s response to hemiplegia. The self-awareness of learned disuse. The learned disuse index is calculated through the cloud server, and the strategy of dynamically adjusting the reminder frequency according to the learned disuse index makes the intervention method of sensory reminder exercise more personalized and accurate.
第一方面，提出一种偏瘫习得性废用评估和治疗装置，包括主机、辅机、移动终端及云服务器，所述主机与辅机通过无线通信进行匹配，实时传输数据，所述主机与移动终端和云服务器无线通信；In the first aspect, a device for evaluating and treating hemiplegia learned disuse is proposed, including a host, an auxiliary machine, a mobile terminal, and a cloud server. The host and the auxiliary machine are matched through wireless communication to transmit data in real time. Wireless communication between mobile terminal and cloud server;
主机，佩戴在患者的患侧上肢，用于检测患侧上肢运动数据，将患侧上肢及健侧上肢的运动数据定时传输到云服务器，并根据云服务器传输过来的习得性废用指数和对应的治疗参数运行提醒功能；The host, worn on the patient’s affected upper limb, is used to detect the movement data of the affected upper limb, and transmit the movement data of the affected upper limb and the unaffected upper limb to the cloud server at regular intervals, and according to the learned disuse index and the learned disuse index transmitted from the cloud server The corresponding treatment parameter operation reminder function;
辅机，佩戴在患者的健侧上肢，检测健侧上肢的运动数据，并实时无线传输到主机；Auxiliary machine, which is worn on the uninvolved upper limb of the patient, detects the movement data of uninhibited upper limb, and transmits it to the host wirelessly in real time;
云服务器，用于根据接收的健侧上肢及患侧上肢的运动数据计算患侧习得性废用指数和对应的治疗参数，并将所述习得性废用指数和对应的治疗参数传输到所述主机，所述运动数据包括患侧活动量及健侧活动量。The cloud server is used to calculate the learned disuse index and corresponding treatment parameters of the affected side according to the received movement data of the uninfected upper limb and the affected upper limb, and transmit the learned disuse index and the corresponding treatment parameters to In the host, the exercise data includes the activity of the affected side and the activity of the healthy side.
根据本发明第一方面所述的治疗装置，第一种实施情况中，所述习得性废用指 数由所述云服务器综合比对患侧上肢活动量与健侧上肢活动量数据获取，所述患侧活动量通过患侧上肢的运动加速度及时长获得，所述健侧活动量通过健侧上肢的运动加速度及时长获得。According to the treatment device of the first aspect of the present invention, in the first implementation situation, the learned disuse index is obtained by comprehensively comparing the activity amount of the affected side upper limb with the activity amount of the uninvolved upper limb by the cloud server, so The amount of activity on the affected side is obtained by the movement acceleration and duration of the upper limb on the affected side, and the amount of activity on the unaffected side is obtained by the movement acceleration and duration of the upper limb on the unaffected side.
根据本发明第一方面所述的治疗装置，第二种实施情况中，所述患侧活动量和健侧活动量按照以下标准进行评估获得：According to the treatment device according to the first aspect of the present invention, in the second implementation situation, the activity amount of the affected side and the activity amount of the healthy side are evaluated according to the following standards:
综合加速度传感器各维度的加速度数据，形成加速度变化曲线，若所述患者的患侧加速度和健侧加速度达到最低运动阈值以上，则连续记录加速度曲线，否则，若所述患侧加速度和健侧加速度低于最低运动阈值，则不记录加速度曲线，依据特定时间段内，记录加速度曲线所占的时间比例为活动量。The acceleration data of each dimension of the acceleration sensor is integrated to form an acceleration change curve. If the patient’s ipsilateral acceleration and unhealthy acceleration exceed the minimum motion threshold, the acceleration curve is continuously recorded; otherwise, if the ipsilateral acceleration and unhealthy acceleration Below the minimum movement threshold, the acceleration curve will not be recorded. According to the specific time period, the proportion of time occupied by the acceleration curve is the amount of activity.
根据本发明第一方面所述的治疗装置，第三种实施情况中，所述主机包括第一检测单元、第一存储单元、第一通信单元、指示单元、显示单元、数据分析单元及第一处理单元，所述第一处理单元分别与所述第一检测单元、第一存储单元、第一通信单元、指示单元、显示单元、数据分析单元电连接；According to the treatment device according to the first aspect of the present invention, in a third implementation situation, the host includes a first detection unit, a first storage unit, a first communication unit, an indication unit, a display unit, a data analysis unit, and a first A processing unit, the first processing unit is electrically connected to the first detection unit, the first storage unit, the first communication unit, the indication unit, the display unit, and the data analysis unit;
第一检测单元，用于检测患侧上肢的运动数据；The first detection unit is used to detect movement data of the affected upper limb;
第一存储单元，用于存储主机、辅机检测的运动数据及其他运行数据；The first storage unit is used to store the motion data and other operating data detected by the host and auxiliary machines;
第一通信单元，用于与云服务器及辅机进行无线通信；The first communication unit is used for wireless communication with the cloud server and auxiliary machines;
指示单元，用于根据主机的控制指令运行提醒功能；The indicating unit is used to run the reminder function according to the control instructions of the host;
数据分析单元，用于对第一检测单元、第二检测单元检测的运动数据进行初步分析，并通过第一通信单元将初步分析结果数据传输到所述云服务器。The data analysis unit is used to perform preliminary analysis on the motion data detected by the first detection unit and the second detection unit, and transmit the preliminary analysis result data to the cloud server through the first communication unit.
根据本发明第一方面的第二实施情况，第四种实施情况中，所述辅机包括第二检测单元、第二存储单元、第二通信单元及第二处理单元，所述第二处理单元分别与所述第二检测单元、第二存储单元、第二通信单元电连接；According to the second implementation of the first aspect of the present invention, in the fourth implementation, the auxiliary machine includes a second detection unit, a second storage unit, a second communication unit, and a second processing unit, and the second processing unit Respectively electrically connected with the second detection unit, the second storage unit, and the second communication unit;
第二检测单元，用于检测患者健侧上肢的运动数据；The second detection unit is used to detect the movement data of the patient's healthy upper limb;
第二存储单元，用于存储健侧上肢的运动数据及辅机的其他运行数据；The second storage unit is used to store the movement data of the healthy upper limb and other operating data of the auxiliary machine;
第二通信单元，用于与主机进行无线通信。The second communication unit is used for wireless communication with the host.
根据本发明中的第三实施情况，第五种实施情况中，所述第一通信单元采用WiFi或移动通信方式，所述第二通信单元采用蓝牙通信方式。According to the third implementation situation of the present invention, in the fifth implementation situation, the first communication unit adopts WiFi or mobile communication mode, and the second communication unit adopts Bluetooth communication mode.
根据本发明中的第三实施情况，第六种实施情况中，所述第一检测单元、第二 检测单元为加速度传感器单元。According to the third implementation of the present invention and the sixth implementation, the first detection unit and the second detection unit are acceleration sensor units.
根据本发明中的第二实施情况，第七种实施情况中，所述显示单元显示的内容包括习得性废用指数、患侧活动量、健侧活动量及对应所述习得性废用指数的颜色指示功能。According to the second implementation situation of the present invention, in the seventh implementation situation, the content displayed by the display unit includes the learned disuse index, the affected side activity volume, the healthy side activity volume, and the corresponding learned disuse index The color indicator function of the index.
第二方面，一种偏瘫习得性废用评估和治疗方法，使用第一方面提出的偏瘫习得性废用评估和治疗装置，包括步骤：The second aspect is a method for evaluating and treating hemiplegia learned disuse, using the hemiplegic learned disuse evaluation and treatment device proposed in the first aspect, including steps:
辅机检测患者健侧上肢的运动数据，并实时传输到主机；The auxiliary machine detects the movement data of the patient's contralateral upper limb and transmits it to the host in real time;
主机检测患者患侧上肢的运动数据，连同接收到的健侧上肢的运动数据，数据处理单元进行初步分析，将初步分析结果数据传输到所述云服务器，其中，所述运动数据包括患侧活动量及健侧活动量；The host detects the movement data of the affected upper limb of the patient, together with the received movement data of the uninhibited upper limb, the data processing unit performs preliminary analysis, and transmits the preliminary analysis result data to the cloud server, where the movement data includes the movement of the affected side Volume and healthy side activity;
所述云服务器根据所述运动数据，计算患侧活动量及健侧活动量；The cloud server calculates the activity amount of the affected side and the activity amount of the healthy side according to the exercise data;
云服务器综合比对所述患侧活动量及患侧活动质量数据，计算患侧习得性废用指数及对应的治疗参数；The cloud server comprehensively compares the activity amount of the affected side and the activity quality data of the affected side, and calculates the learned disuse index of the affected side and the corresponding treatment parameters;
利用所述习得性废用指数及所述治疗参数，主机输出提醒功能，患者根据提醒运动患侧上肢，其中，所述患侧活动量和健侧活动量按照以下标准进行评估获得：Using the learned disuse index and the treatment parameters, the host outputs a reminder function, and the patient exercises the affected upper limb according to the reminder, wherein the activity of the affected side and the activity of the healthy side are evaluated according to the following standards:
综合加速度传感器各维度的加速度数据，形成加速度变化曲线，若所述患者的患侧加速度和健侧加速度达到最低运动阈值以上，则连续记录加速度曲线，否则，若所述患侧加速度和健侧加速度低于最低运动阈值，则不记录加速度曲线。依据特定时间段内，记录加速度曲线所占的时间比例为活动量。The acceleration data of each dimension of the acceleration sensor is integrated to form an acceleration change curve. If the patient’s ipsilateral acceleration and unhealthy acceleration exceed the minimum motion threshold, the acceleration curve is continuously recorded; otherwise, if the ipsilateral acceleration and unhealthy acceleration Below the minimum movement threshold, the acceleration curve is not recorded. According to the specific time period, the proportion of time occupied by the recording acceleration curve is the amount of activity.
根据第二方面所述的治疗方法，第一实施情况中，所述步骤：所述云服务器根据所述运动数据，计算患侧活动量及健侧活动量，包括步骤：According to the treatment method described in the second aspect, in the first implementation situation, the step: the cloud server calculates the activity amount of the affected side and the activity amount of the healthy side according to the exercise data, including the steps:
通过运动的加速度及时长计算所述患侧活动量；Calculate the amount of activity on the affected side through the acceleration and duration of the movement;
通过运动的加速度及时长计算所述健侧活动量。The amount of activity on the healthy side is calculated based on the acceleration and the length of the movement.
实施本发明所述的一种偏瘫习得性废用评估和治疗装置及方法，通过在患者的患侧和健侧上肢分别佩戴主机和辅机，辅机将检测到的运动数据实时传输到主机，提升了临床评价习得性废用的便利和客观程度，提升了偏瘫患者对习得性废用的自我意识。通过云服务器计算习得性废用指数，依据习得性废用指数动 态调整提醒频率的策略，使感觉提醒运动的干预方法更加个性化和精准。To implement the device and method for evaluating and treating hemiplegia learned disuse according to the present invention, the host and auxiliary machine are respectively worn on the patient's affected and unhealthy upper limbs, and the auxiliary machine transmits the detected motion data to the host in real time , Improve the convenience and objectivity of clinical evaluation of learned disuse, and enhance the self-awareness of hemiplegic patients on learned disuse. The learned disuse index is calculated through the cloud server, and the strategy of dynamically adjusting the reminder frequency according to the learned disuse index makes the intervention method of sensory reminder exercise more personalized and accurate.
发明的有益效果The beneficial effects of the invention
对附图的简要说明Brief description of the drawings
附图说明Description of the drawings
为了更清楚地说明本发明实施例中的技术方案，下面将对实施例描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。In order to more clearly describe the technical solutions in the embodiments of the present invention, the following will briefly introduce the accompanying drawings used in the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained from these drawings without creative work.
图1是本发明提出的一种偏瘫习得性废用评估和治疗装置逻辑连接示意图；Figure 1 is a schematic diagram of the logical connection of a device for evaluating and treating hemiplegia learned disuse according to the present invention;
图2是本发明提出的一种偏瘫习得性废用评估和治疗装置中的主机实施例逻辑连接示意图；2 is a schematic diagram of the logical connection of the host embodiment in the device for evaluating and treating hemiplegia learned disuse according to the present invention;
图3是本发明提出的一种偏瘫习得性废用评估和治疗装置中的辅机实施例逻辑连接示意图；FIG. 3 is a schematic diagram of the logical connection of an auxiliary machine embodiment in a device for evaluating and treating hemiplegia learned disuse according to the present invention;
图4是本发明提出的一种偏瘫习得性废用评估和治疗装置中的主机显示内容实施例示意图；4 is a schematic diagram of an embodiment of the display content of the host in a device for evaluating and treating hemiplegia learned disuse proposed by the present invention;
图5是本发明提出的一种偏瘫习得性废用评估和治疗方法步骤流程示意图；Fig. 5 is a schematic diagram of the steps of a method for evaluating and treating hemiplegia learned disuse proposed by the present invention;
图6是本发明提出的一种偏瘫习得性废用评估和治疗方法中S3的子步骤流程示意图；6 is a schematic diagram of the sub-steps of S3 in the method for evaluating and treating hemiplegia learned disuse proposed by the present invention;
附图中各数字所指代的部位名称为：100——主机、200——辅机、300——服务器、110——第一检测单元、120——第一存储单元、130——第一通信单元、140——指示单元、150——显示单元、160——数据处理单元、170——第一处理单元、210——第二检测单元、220——第二存储单元、230——第二通信单元、240——第二处理单元。The names of the parts referred to by the numbers in the figure are: 100—host, 200—auxiliary machine, 300—server, 110—first detection unit, 120—first storage unit, 130—first Communication unit, 140-indicating unit, 150-display unit, 160-data processing unit, 170-first processing unit, 210-second detection unit, 220-second storage unit, 230-first Two communication unit, 240-the second processing unit.
发明实施例Invention embodiment
本发明的实施方式Embodiments of the invention
下面将结合发明中的附图，对本发明中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明的一部分实施例，而不是全部的实施例。基 于本发明中的实施例，本领域普通技术人员在没有付出创造性劳动前提下所获得的其他实施例，都属于本发明保护的范围。The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
针对现有的习得性废用治疗方式中存在评估不够精确、临床应用不便捷进而影响其干预治疗效果的问题，提出一种便携式的偏瘫习得性废用评估和治疗装置及方法。Aiming at the problems of insufficient assessment and inconvenient clinical application in the existing treatment methods of learned disuse, which affects the effect of intervention treatment, a portable hemiplegia disuse assessment and treatment device and method are proposed.
一种偏瘫习得性废用评估和治疗装置，如图1，图1是本发明提出的一种偏瘫习得性废用评估和治疗装置逻辑连接示意图，包括主机100、辅机200、移动终端及云服务器300，主机100与辅机200通过无线通信进行匹配，传输数据，主机100与移动终端和云服务器300无线通信。A device for evaluating and treating hemiplegia learned disuse, as shown in FIG. 1. FIG. 1 is a schematic diagram of the logical connection of a device for evaluating and treating hemiplegia learned disuse according to the present invention, including a host 100, an auxiliary device 200, and a mobile terminal As well as the cloud server 300, the host 100 and the auxiliary machine 200 are matched through wireless communication to transmit data, and the host 100 communicates with the mobile terminal and the cloud server 300 wirelessly.
主机100，佩戴在患者的患侧上肢，用于检测患侧上肢运动数据，对患侧及健侧上肢的运动数据进行初步分析，并将初步分析结果定时传输到云服务器300，并根据云服务器300传输过来的习得性废用指数和对应的治疗参数运行提醒功能。The host 100, which is worn on the patient’s affected upper limbs, is used to detect the movement data of the affected upper limbs, conduct preliminary analysis on the movement data of the affected and unaffected upper limbs, and transmit the preliminary analysis results to the cloud server 300 regularly, and according to the cloud server The learned disuse index and the corresponding treatment parameters transmitted by 300 run reminder function.
辅机200，佩戴在患者的健侧上肢，用于检测健侧上肢的运动数据，并实时无线传输到主机100。The auxiliary machine 200 is worn on the uninhibited upper limb of the patient and is used to detect the movement data of the uninhibited upper limb and transmit it to the host 100 wirelessly in real time.
通过在患者的患侧上肢和健侧上肢分别佩戴主机100和辅机200，辅机200将检测到的运动数据实时传输到主机100，提升了临床评价习得性废用的便利和客观程度，提升了偏瘫患者对习得性废用的自我意识。By wearing the main body 100 and the auxiliary machine 200 on the patient’s affected upper limb and the healthy side of the upper limb respectively, the auxiliary machine 200 transmits the detected motion data to the main machine 100 in real time, which improves the convenience and objectivity of clinical evaluation of learned disuse. Improve the self-awareness of hemiplegic patients on learned disuse.
云服务器300，用于根据接收的健侧、患侧上肢运动数据计算患侧习得性废用指数和对应的治疗参数，并将习得性废用指数传输到主机100，加速度及时长运动数据包括患侧活动量及健侧活动量。The cloud server 300 is used to calculate the learned disuse index of the affected side and the corresponding treatment parameters according to the received exercise data of the upper limbs of the uninvolved side and the affected side, and transmit the learned disuse index to the host 100, acceleration and long-term motion data Including the amount of activity on the affected side and the amount of activity on the healthy side.
在有的实施方式中，也可以通过辅机200向云服务器300传输数据，进而计算习得性废用指数和对应的治疗参数。In some embodiments, the auxiliary machine 200 may also transmit data to the cloud server 300 to calculate the learned disuse index and the corresponding treatment parameters.
进一步地，习得性废用指数由云服务器300通过计算出来的患侧活动量及健侧活动量获取，患侧活动量通过患侧上肢运动的加速度及时长获得，健侧活动量通过健侧上肢运动的加速度及时长获得。通过云服务器300计算习得性废用指数和对应的治疗参数，依据习得性废用指数和对应的治疗参数动态调整提醒频率的策略，使感觉提醒运动的干预方法更加个性化和精准。Further, the learned disuse index is obtained by the cloud server 300 through the calculated amount of activity on the affected side and the amount of activity on the uninvolved side. The amount of activity on the affected side is obtained by the acceleration and duration of the upper limb movement of the affected side. The acceleration and duration of upper limb movement are obtained. The cloud server 300 calculates the learned disuse index and corresponding treatment parameters, and dynamically adjusts the reminder frequency strategy according to the learned disuse index and the corresponding treatment parameters, so that the intervention method of sensory reminder exercise is more personalized and accurate.
这里所述的治疗参数，包括患侧的震动提醒周期、显示单元的颜色变化和双侧上肢的活动量对比。The treatment parameters mentioned here include the vibration reminder cycle of the affected side, the color change of the display unit, and the comparison of the amount of activity of the upper limbs on both sides.
患侧上肢和健侧上肢活动量可用以下标准进行评估获得：The amount of activity of the affected upper limb and the healthy upper limb can be evaluated by the following criteria:
综合加速度传感器各维度的加速度数据，形成加速度变化曲线，当患者的上肢活动达到最低加速度阈值以上，则连续记录加速度曲线，否则，患者上肢的活动的加速度低于最低加速度阈值，则不记录加速度曲线。依据某一时间段内，记录加速度曲线所占的时间比例为活动量。The acceleration data of each dimension of the acceleration sensor is integrated to form an acceleration curve. When the patient's upper limb activity reaches the minimum acceleration threshold, the acceleration curve is continuously recorded. Otherwise, the acceleration curve of the patient's upper limb activity is lower than the minimum acceleration threshold. . According to a certain period of time, the proportion of time occupied by the recording acceleration curve is the amount of activity.
云服务器300通过删除双侧上肢同时静止或者同时运动时的运动数据，综合患侧活动量及健侧活动量数据，通过患侧上肢和健侧上肢活动量的比值获取习得性废用指数。The cloud server 300 obtains the learned disuse index based on the ratio of the activity amount of the affected side and the healthy side by deleting the motion data when the upper limbs are at the same time or moving at the same time.
优选地，主机100如图2，图2是本发明提出的一种偏瘫习得性废用评估和治疗装置中的主机100实施例逻辑连接示意图，包括第一检测单元110、第一存储单元120、第一通信单元130、指示单元140、显示单元150、数据分析单元及第一处理单元170，第一处理单元170分别与第一检测单元110、第一存储单元120、第一通信单元130、指示单元140、显示单元150、数据分析单元电连接。Preferably, the host 100 is shown in Figure 2. Figure 2 is a schematic diagram of the logical connection of an embodiment of the host 100 in the device for evaluating and treating hemiplegia learned disuse according to the present invention, including a first detection unit 110 and a first storage unit 120 , The first communication unit 130, the instruction unit 140, the display unit 150, the data analysis unit, and the first processing unit 170. The first processing unit 170 is connected to the first detection unit 110, the first storage unit 120, and the first communication unit 130, respectively. The indicating unit 140, the display unit 150, and the data analysis unit are electrically connected.
第一检测单元110，用于检测患侧上肢的运动数据；第一存储单元120，用于存储主机100、辅机200检测的运动数据及其他运行数据；第一通信单元130，用于与云服务器300及辅机200进行无线通信；指示单元140，用于根据主机100中的第一处理单元170的控制指令运行提醒功能。The first detection unit 110 is used to detect the movement data of the upper limb on the affected side; the first storage unit 120 is used to store the movement data and other operating data detected by the host 100 and the auxiliary machine 200; the first communication unit 130 is used to communicate with the cloud The server 300 and the auxiliary machine 200 perform wireless communication; the instruction unit 140 is configured to run the reminder function according to the control instruction of the first processing unit 170 in the host 100.
在本实施方式中，提醒功能主要包括振动提醒及颜色提醒，颜色根据患侧上肢习得性废用指数的大小而发生变化，其习得性废用严重程度由轻度到重度分别对应由绿色到红色，颜色的变化趋势对应其习得性废用严重程度的变化趋势。In this embodiment, the reminder function mainly includes vibration reminder and color reminder. The color changes according to the magnitude of the learned disuse index of the affected upper limb. The severity of the learned disuse varies from mild to severe, corresponding to green To red, the change trend of the color corresponds to the change trend of the severity of its learned disuse.
数据分析单元，用于对第一检测单元110、第二检测单元210检测的运动数据进行初步分析，并通过第一通信单元130将初步分析结果数据传输到云服务器300。优选地，第一通信单元130为WiFi或移动通信方式，第一检测单元110为加速度传感器单元。The data analysis unit is configured to perform a preliminary analysis on the motion data detected by the first detection unit 110 and the second detection unit 210, and transmit the preliminary analysis result data to the cloud server 300 through the first communication unit 130. Preferably, the first communication unit 130 is a WiFi or mobile communication mode, and the first detection unit 110 is an acceleration sensor unit.
进一步地，辅机200如图3，图3是本发明提出的一种偏瘫习得性废用评估和治疗装置中的辅机200实施例逻辑连接示意图，包括第二检测单元210、第二存储 单元220、第二通信单元230及第二处理单元240，第二处理单元240分别与第二检测单元210、第二存储单元220、第二通信单元230电连接。Further, the auxiliary machine 200 is shown in Figure 3, which is a schematic diagram of the logical connection of an embodiment of the auxiliary machine 200 in the hemiplegia learned disuse assessment and treatment device proposed by the present invention, including a second detection unit 210 and a second storage The unit 220, the second communication unit 230, and the second processing unit 240 are electrically connected to the second detection unit 210, the second storage unit 220, and the second communication unit 230, respectively.
第二检测单元210，用于检测患者健侧上肢的运动数据；第二存储单元220，用于存储健侧上肢的运动数据及辅机200的其他运行数据；第二通信单元230，用于与主机100进行通信。优选地，第二通信单元230为蓝牙通信方式，第二检测单元210为加速度传感器单元。The second detection unit 210 is used to detect the movement data of the patient's healthy side of the upper limb; the second storage unit 220 is used to store movement data of the healthy side of the upper limb and other operating data of the auxiliary machine 200; the second communication unit 230 is used to communicate with The host 100 communicates. Preferably, the second communication unit 230 is a Bluetooth communication mode, and the second detection unit 210 is an acceleration sensor unit.
进一步地，如图4，图4是本发明提出的一种偏瘫习得性废用评估和治疗装置中的主机100显示内容实施例示意图，显示单元150显示的内容包括时间、习得性废用指数、患侧活动量、健侧活动量及对应习得性废用指数的颜色指示功能。Further, as shown in FIG. 4, FIG. 4 is a schematic diagram of an embodiment of the display content of the host 100 in the device for evaluating and treating hemiplegia learned disuse according to the present invention. The content displayed by the display unit 150 includes time and learned disuse. Index, the activity of the affected side, the activity of the healthy side and the color indicator function corresponding to the learned disuse index.
第二方面，如图5，图5是本发明提出的一种偏瘫习得性废用评估和治疗方法步骤流程示意图，一种偏瘫习得性废用评估和治疗方法，使用第一方面提出的偏瘫习得性废用评估和治疗装置，包括步骤：The second aspect, as shown in Figure 5. Figure 5 is a schematic diagram of the step flow diagram of a hemiplegia learned disuse assessment and treatment method proposed by the present invention, a hemiplegia learned disuse assessment and treatment method, using the first aspect proposed Hemiplegia learned disuse assessment and treatment device, including steps:
S1、辅机200实时检测患者健侧上肢的运动数据，并实时传输到主机100。辅机200包括第二检测单元210、第二存储单元220、第二通信单元230及第二处理单元240。第二检测单元210为加速度传感器单元，用于检测患者健侧上肢的运动数据。第二存储单元220，用于存储检测到的健侧上肢的运动数据及辅机200的其他运行数据。第二通信单元230采用蓝牙通信方式与主机100进行通信。S1. The auxiliary machine 200 detects the movement data of the patient's healthy upper limb in real time, and transmits it to the host 100 in real time. The auxiliary machine 200 includes a second detection unit 210, a second storage unit 220, a second communication unit 230, and a second processing unit 240. The second detection unit 210 is an acceleration sensor unit, which is used to detect movement data of the patient's healthy upper limb. The second storage unit 220 is used to store the detected motion data of the upper limb of the healthy side and other operating data of the auxiliary machine 200. The second communication unit 230 communicates with the host 100 in a Bluetooth communication manner.
S2、主机100检测患者患侧上肢的运动数据，连同接收到的健侧上肢的运动数据，数据处理单元160进行初步分析，将初步分析结果数据传输到云服务器300，其中，加速度及时长运动数据包括患侧活动量及健侧活动量。S2. The host 100 detects the movement data of the affected upper limb of the patient, together with the received movement data of the uninhibited upper limb, the data processing unit 160 performs preliminary analysis, and transmits the preliminary analysis result data to the cloud server 300, where the acceleration and the long-term movement data Including the amount of activity on the affected side and the amount of activity on the healthy side.
主机100包括第一检测单元110、第一存储单元120、第一通信单元130、指示单元140、显示单元150、数据分析单元及第一处理单元170。第一检测单元110为加速度传感器单元，检测患侧上肢的运动数据；第一存储单元120用于存储主机100、辅机200检测的运动数据及其他运行数据；第一通信单元130采用WiFi或移动通信方式与云服务器300及辅机200进行无线通信；指示单元140，用于根据主机100中的第一处理单元170的控制指令运行提醒功能。The host 100 includes a first detection unit 110, a first storage unit 120, a first communication unit 130, an indication unit 140, a display unit 150, a data analysis unit, and a first processing unit 170. The first detection unit 110 is an acceleration sensor unit that detects the movement data of the upper limb on the affected side; the first storage unit 120 is used to store the movement data and other operating data detected by the host 100 and the auxiliary machine 200; the first communication unit 130 uses WiFi or mobile The communication method performs wireless communication with the cloud server 300 and the auxiliary machine 200; the instruction unit 140 is used for running the reminder function according to the control instruction of the first processing unit 170 in the host 100.
提醒功能主要包括振动提醒及颜色提醒，颜色根据患侧上肢的习得性废用指数的大小而发生变化，其习得性废用严重程度由轻度到重度分别对应由绿色到红 色，颜色的变化趋势对应其习得性废用严重程度的变化趋势。The reminder function mainly includes vibration reminder and color reminder. The color changes according to the size of the learned disuse index of the affected upper limb. The severity of learned disuse varies from mild to severe, corresponding to green to red. The change trend corresponds to the change trend of the severity of its learned disuse.
数据分析单元用于对第一检测单元110、第二检测单元210检测的运动数据进行初步分析，并通过第一通信单元130将初步分析结果数据传输到云服务器300。The data analysis unit is configured to perform preliminary analysis on the motion data detected by the first detection unit 110 and the second detection unit 210, and transmit the preliminary analysis result data to the cloud server 300 through the first communication unit 130.
S3、云服务器300根据运动数据，计算患侧活动量及健侧活动量。S3. The cloud server 300 calculates the activity amount of the affected side and the activity amount of the healthy side according to the exercise data.
优选地，如图6，图6是本发明提出的一种偏瘫习得性废用评估和治疗方法中S3的子步骤流程示意图，步骤S3包括步骤：Preferably, as shown in Fig. 6, Fig. 6 is a schematic diagram of the sub-steps of S3 in the method for evaluating and treating hemiplegia learned disuse proposed by the present invention. Step S3 includes the steps:
S31、通过患侧运动的加速度及时长计算所述患侧活动量。S31. Calculate the amount of activity on the affected side according to the acceleration and duration of the movement of the affected side.
S32、通过健侧运动的加速度及时长计算所述健侧活动量。S32: Calculate the amount of activity of the healthy side according to the acceleration and the length of the movement of the healthy side.
S4、根据患侧活动量及患侧活动数据，计算患侧习得性废用指数及对应的治疗参数。S4. Calculate the learned disuse index of the affected side and the corresponding treatment parameters according to the activity amount of the affected side and the activity data of the affected side.
云服务器300，用于根据接收的健侧、患侧上肢运动数据计算患侧习得性废用指数和对应的治疗参数，并将习得性废用指数和对应的治疗参数传输到主机100，运动数据包括患侧上肢、健侧上肢运动的加速度及时长。通过删除双侧上肢同时静止或者同时运动时的运动数据，综合患侧活动量及健侧活动量数据，通过患侧上肢和健侧上肢活动量的比值获取习得性废用指数和对应的治疗参数。The cloud server 300 is used to calculate the learned disuse index and corresponding treatment parameters of the affected side according to the received exercise data of the uninvolved upper limbs and the affected side, and transmit the learned disuse index and the corresponding treatment parameters to the host 100, The movement data includes the acceleration and duration of the movement of the affected upper limb and the healthy upper limb. By deleting the movement data of both upper limbs at the same time when they are static or moving at the same time, the activity amount of the affected side and the activity amount of the healthy side are integrated, and the learned disuse index and the corresponding treatment are obtained by the ratio of the activity amount of the affected side and the healthy side. parameter.
S5、利用习得性废用指数及参数治疗参数，主机100输出提醒功能，患者根据提醒患者运动患侧上肢。云服务器300计算习得性废用指数，依据习得性废用指数动态调整提醒频率的策略，使感觉提醒运动的干预方法更加个性化和精准。S5. Using the learned disuse index and parameter treatment parameters, the host 100 outputs a reminder function, and the patient reminds the patient to exercise the affected upper limb. The cloud server 300 calculates the learned disuse index, and dynamically adjusts the reminder frequency strategy according to the learned disuse index, so that the intervention method of sensory reminder exercise is more personalized and accurate.
实施本发明的一种偏瘫习得性废用评估和治疗装置及方法，通过在患者的患侧和健侧上肢分别佩戴主机100和辅机200，辅机200将检测到的运动数据实时传输到主机100，提升了临床评价习得性废用的便利和客观程度，提升了偏瘫患者对习得性废用的自我意识。通过云服务器300计算习得性废用指数，依据习得性废用指数动态调整提醒频率的策略，使感觉提醒运动的干预方法更加个性化和精准。Implementing the device and method for evaluating and treating hemiplegia learned disuse of the present invention, the host 100 and the auxiliary machine 200 are respectively worn on the patient’s affected and unhealthy upper limbs, and the auxiliary machine 200 transmits the detected motion data to The host 100 improves the convenience and objectivity of clinical evaluation of learned disuse, and enhances the self-awareness of hemiplegic patients on learned disuse. The cloud server 300 calculates the learned disuse index, and dynamically adjusts the reminder frequency strategy according to the learned disuse index, so that the intervention method of sensory reminder exercise is more personalized and accurate.
以上仅为本发明的较佳实施例，并不用以限制本发明，凡在本发明的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本发明的保护范围之内。The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention. Inside.

Claims (10)

  1. 一种偏瘫习得性废用评估和治疗装置，其特征在于，包括主机、辅机、移动终端及云服务器，所述主机与辅机通过无线通信进行匹配，实时传输数据，所述主机分别与移动终端和云服务器无线通信；A device for evaluating and treating hemiplegia learned disuse, which is characterized in that it comprises a host, an auxiliary machine, a mobile terminal and a cloud server. The host and the auxiliary machine are matched through wireless communication to transmit data in real time. Wireless communication between mobile terminal and cloud server;
    主机，佩戴在患者的患侧上肢，用于检测患侧上肢运动数据，将患侧上肢及健侧上肢的运动数据定时传输到云服务器，并根据云服务器传输过来的习得性废用指数和对应的治疗参数运行提醒功能；The host, worn on the patient’s affected upper limb, is used to detect the movement data of the affected upper limb, and transmit the movement data of the affected upper limb and the unaffected upper limb to the cloud server at regular intervals, and according to the learned disuse index and the learned disuse index transmitted from the cloud server The corresponding treatment parameter operation reminder function;
    辅机，佩戴在患者的健侧上肢，检测健侧上肢的运动数据，并实时无线传输到主机；Auxiliary machine, which is worn on the uninvolved upper limb of the patient, detects the movement data of uninhibited upper limb, and transmits it to the host wirelessly in real time;
    云服务器，用于根据接收的健侧上肢及患侧上肢的运动数据计算患侧习得性废用指数和对应的治疗参数，并将所述习得性废用指数和对应的治疗参数传输到所述主机，所述运动数据包括患侧活动量及健侧活动量。The cloud server is used to calculate the learned disuse index and corresponding treatment parameters of the affected side according to the received movement data of the uninfected upper limb and the affected upper limb, and transmit the learned disuse index and the corresponding treatment parameters to In the host, the exercise data includes the activity of the affected side and the activity of the healthy side.
  2. 根据权利要求1所述的偏瘫习得性废用评估和治疗装置，其特征在于，所述习得性废用指数由所述云服务器综合比对患侧活动量与健侧活动量数据获取，所述患侧活动量、健侧活动量分别通过上肢运动的加速度及时长获得。The device for evaluating and treating hemiplegia learned disuse according to claim 1, wherein the learned disuse index is obtained by comprehensively comparing the activity amount of the affected side and the activity amount of the uninfected side by the cloud server, The activity amount of the affected side and the activity amount of the healthy side are respectively obtained by the acceleration and the length of the upper limb movement.
  3. 根据权利要求1所述的偏瘫习得性废用评估和治疗装置，其特征在于，The device for evaluating and treating hemiplegia learned disuse according to claim 1, wherein:
    所述患侧活动量和健侧活动量按照以下标准进行评估获得：The activity of the affected side and the activity of the healthy side are evaluated according to the following standards:
    综合加速度传感器各维度的加速度数据，形成加速度变化曲线，若所述患者的患侧加速度和健侧加速度达到最低运动阈值以上，则连续记录加速度曲线；否则，若所述患侧加速度和健侧加速度低于最低运动阈值，则不记录加速度曲线；依据特定时间段内，记录加速度曲线所占的时间比例为活动量。The acceleration data of each dimension of the acceleration sensor is integrated to form an acceleration change curve. If the patient’s ipsilateral acceleration and unhealthy acceleration reach the minimum movement threshold or more, the acceleration curve is continuously recorded; otherwise, if the ipsilateral acceleration and unhealthy acceleration Below the minimum movement threshold, the acceleration curve is not recorded; according to the specific time period, the proportion of time occupied by the acceleration curve is the amount of activity.
  4. 根据权利要求1所述的偏瘫习得性废用评估和治疗装置，其特征在 于，所述主机包括第一检测单元、第一存储单元、第一通信单元、指示单元、显示单元、数据分析单元及第一处理单元，所述第一处理单元分别与所述第一检测单元、第一存储单元、第一通信单元、指示单元、显示单元、数据分析单元电连接；The device for evaluating and treating hemiplegia learned disuse according to claim 1, wherein the host includes a first detection unit, a first storage unit, a first communication unit, an indication unit, a display unit, and a data analysis unit And a first processing unit, the first processing unit being electrically connected to the first detection unit, the first storage unit, the first communication unit, the indication unit, the display unit, and the data analysis unit, respectively;
    第一检测单元，用于检测患侧上肢的运动数据；The first detection unit is used to detect movement data of the affected upper limb;
    第一存储单元，用于存储主机、辅机检测的运动数据及其他运行数据；The first storage unit is used to store the motion data and other operating data detected by the host and auxiliary machines;
    第一通信单元，用于与云服务器及辅机进行无线通信；The first communication unit is used for wireless communication with the cloud server and auxiliary machines;
    指示单元，用于根据主机的控制指令运行提醒功能；The indicating unit is used to run the reminder function according to the control instructions of the host;
    数据分析单元，用于对第一检测单元、第二检测单元检测的运动数据进行初步分析，并通过第一通信单元将初步分析结果数据传输到所述云服务器。The data analysis unit is used to perform preliminary analysis on the motion data detected by the first detection unit and the second detection unit, and transmit the preliminary analysis result data to the cloud server through the first communication unit.
  5. 根据权利要求4所述的偏瘫习得性废用评估和治疗装置，其特征在于，所述辅机包括第二检测单元、第二存储单元、第二通信单元及第二处理单元，所述第二处理单元分别与所述第二检测单元、第二存储单元、第二通信单元电连接；The device for evaluating and treating hemiplegia learned disuse according to claim 4, wherein the auxiliary machine includes a second detection unit, a second storage unit, a second communication unit, and a second processing unit, and the first The two processing units are respectively electrically connected with the second detection unit, the second storage unit, and the second communication unit;
    第二检测单元，用于检测患者健侧上肢的运动数据；The second detection unit is used to detect the movement data of the patient's healthy upper limb;
    第二存储单元，用于存储健侧上肢的运动数据及辅机的其他运行数据；The second storage unit is used to store the movement data of the healthy upper limb and other operating data of the auxiliary machine;
    第二通信单元，用于与主机进行无线通信。The second communication unit is used for wireless communication with the host.
  6. 根据权利要求5所述的偏瘫习得性废用评估和治疗装置，其特征在于，所述第一通信单元采用WiFi或移动通信方式，所述第二通信单元采用蓝牙通信方式。The device for evaluating and treating hemiplegia learned disuse according to claim 5, wherein the first communication unit uses WiFi or mobile communication mode, and the second communication unit uses Bluetooth communication mode.
  7. 根据权利要求5所述的偏瘫习得性废用评估和治疗装置，其特征在于，所述第一检测单元、第二检测单元为加速度传感器单元。The device for evaluating and treating hemiplegia learned disuse according to claim 5, wherein the first detection unit and the second detection unit are acceleration sensor units.
  8. 根据权利要求4所述的偏瘫习得性废用评估和治疗装置，其特征在于，所述显示单元显示的内容包括习得性废用指数、患侧活动量、健侧活动量及对应所述习得性废用指数的颜色指示功能。The device for evaluating and treating hemiplegia learned disuse according to claim 4, wherein the content displayed by the display unit includes the learned disuse index, the amount of activity on the affected side, the amount of activity on the healthy side, and the corresponding The color indicator function of the learned disuse index.
  9. 一种偏瘫习得性废用评估和治疗方法，使用第一方面提出的偏瘫习得性废用评估和治疗装置，其特征在于，包括步骤：A method for evaluating and treating hemiplegia learned disuse, using the hemiplegic learned disuse evaluation and treatment device proposed in the first aspect, characterized in that it comprises the steps:
    辅机检测患者健侧上肢的运动数据，并实时传输到主机；The auxiliary machine detects the movement data of the patient's contralateral upper limb and transmits it to the host in real time;
    主机检测患者患侧上肢的运动数据，连同接收到的健侧上肢的运动数据，经过数据处理单元进行初步分析，将初步分析结果数据传输到所述云服务器，其中，所述运动数据包括患侧活动量及健侧活动量；The host detects the movement data of the patient's affected upper limb, together with the received movement data of the uninhibited upper limb, performs preliminary analysis through the data processing unit, and transmits the preliminary analysis result data to the cloud server, where the movement data includes the affected side Activity volume and healthy side activity volume;
    所述云服务器根据所述运动数据，计算患侧活动量及健侧活动量；The cloud server calculates the activity amount of the affected side and the activity amount of the healthy side according to the exercise data;
    云服务器综合比对所述患侧活动量及患侧活动质量数据，计算患侧习得性废用指数及对应的治疗参数；The cloud server comprehensively compares the activity amount of the affected side and the activity quality data of the affected side, and calculates the learned disuse index of the affected side and the corresponding treatment parameters;
    利用所述习得性废用指数及所述治疗参数，主机输出提醒功能，患者根据提醒运动患侧上肢，Using the learned disuse index and the treatment parameters, the host outputs a reminder function, and the patient moves the affected upper limb according to the reminder,
    其中，所述患侧活动量和健侧活动量按照以下标准进行评估获得：Wherein, the activity amount of the affected side and the activity amount of the healthy side are evaluated according to the following standards:
    综合加速度传感器各维度的加速度数据，形成加速度变化曲线，若所述患者的患侧活动量和健侧活动量达到最低加速度阈值以上，则连续记录加速度曲线；否则，若所述患侧加速度和健侧加速度低于最低运动阈值，则不记录加速度曲线，依据特定时间段内，记录加速度曲线所占的时间比例为活动量。The acceleration data of each dimension of the acceleration sensor is integrated to form an acceleration change curve. If the patient’s activity on the affected side and the activity on the unhealthy side reach the minimum acceleration threshold, the acceleration curve is continuously recorded; otherwise, if the acceleration and the unhealthy side of the patient are If the lateral acceleration is lower than the minimum motion threshold, the acceleration curve will not be recorded. According to the specific time period, the proportion of time occupied by the acceleration curve is the amount of activity.
  10. 根据权利要求9所述的偏瘫习得性废用治疗方法，其特征在于，所述步骤：所述云服务器根据所述运动数据，计算患侧活动量及健侧活动量，包括步骤：The method for treating hemiplegia learned disuse according to claim 9, wherein the step: the cloud server calculates the amount of activity on the affected side and the amount of activity on the healthy side according to the exercise data, comprising the steps of:
    通过运动的加速度及时长计算所述患侧活动量；Calculate the amount of activity on the affected side through the acceleration and duration of the movement;
    通过运动的加速度及时长计算所述健侧活动量。The amount of activity on the healthy side is calculated based on the acceleration and the length of the movement.
PCT/CN2020/078027 2019-03-06 2020-03-05 Evaluation and treatment device and method for hemiplegia learned non-use WO2020177742A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201910169411.6 2019-03-06
CN201910169411.6A CN109770914A (en) 2019-03-06 2019-03-06 A kind of assessment of hemiplegia learned nonuse and therapeutic device and method

Publications (1)

Publication Number Publication Date
WO2020177742A1 true WO2020177742A1 (en) 2020-09-10

Family

ID=66486184

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2020/078027 WO2020177742A1 (en) 2019-03-06 2020-03-05 Evaluation and treatment device and method for hemiplegia learned non-use

Country Status (2)

Country Link
CN (1) CN109770914A (en)
WO (1) WO2020177742A1 (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109770914A (en) * 2019-03-06 2019-05-21 南方医科大学深圳医院 A kind of assessment of hemiplegia learned nonuse and therapeutic device and method
CN112089427B (en) * 2020-08-31 2023-06-13 南京麦澜德医疗科技有限公司 Finger joint rehabilitation training evaluation method and system
CN114010453A (en) * 2021-09-24 2022-02-08 阿凡达康复科技(东莞)有限公司 Feedback wearing system based on motion signal and preprocessing method

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070270976A1 (en) * 2002-04-25 2007-11-22 Ultraflex Systems, Inc. Ambulating ankle & knee joints with bidirectional dampening and assistance using elastomeric restraint
CN105700689A (en) * 2016-03-17 2016-06-22 北京工业大学 Personalized MI-EEG training and collecting method based on mirror image virtualization and Skinner reinforced learning
CN108392816A (en) * 2018-04-19 2018-08-14 温州医科大学 A kind of lower limb digitlization mirror image therapy rehabilitation training system
CN108670251A (en) * 2018-06-01 2018-10-19 广州中医药大学(广州中医药研究院) Shoulder rehabilitation system and method
CN109770914A (en) * 2019-03-06 2019-05-21 南方医科大学深圳医院 A kind of assessment of hemiplegia learned nonuse and therapeutic device and method
CN209826737U (en) * 2019-03-06 2019-12-24 南方医科大学深圳医院 Hemiplegia acquisition property is useless to be evaluated and treatment device

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI435744B (en) * 2010-07-30 2014-05-01 Univ Nat Yang Ming A bilateral upper limbs motor recovery rehabilitation and evaluation system for patients with stroke
US9311789B1 (en) * 2013-04-09 2016-04-12 BioSensics LLC Systems and methods for sensorimotor rehabilitation
CN109276807A (en) * 2018-11-18 2019-01-29 郑州大学 Hemiplegic patient's lower limb function electric stimulation therapeutic apparatus based on mirror image rehabilitation

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070270976A1 (en) * 2002-04-25 2007-11-22 Ultraflex Systems, Inc. Ambulating ankle & knee joints with bidirectional dampening and assistance using elastomeric restraint
CN105700689A (en) * 2016-03-17 2016-06-22 北京工业大学 Personalized MI-EEG training and collecting method based on mirror image virtualization and Skinner reinforced learning
CN108392816A (en) * 2018-04-19 2018-08-14 温州医科大学 A kind of lower limb digitlization mirror image therapy rehabilitation training system
CN108670251A (en) * 2018-06-01 2018-10-19 广州中医药大学(广州中医药研究院) Shoulder rehabilitation system and method
CN109770914A (en) * 2019-03-06 2019-05-21 南方医科大学深圳医院 A kind of assessment of hemiplegia learned nonuse and therapeutic device and method
CN209826737U (en) * 2019-03-06 2019-12-24 南方医科大学深圳医院 Hemiplegia acquisition property is useless to be evaluated and treatment device

Also Published As

Publication number Publication date
CN109770914A (en) 2019-05-21

Similar Documents

Publication Publication Date Title
WO2020177742A1 (en) Evaluation and treatment device and method for hemiplegia learned non-use
US10376739B2 (en) Balance testing and training system and method
US20220395730A1 (en) Intelligent system that automatically adjusting optimal rehabilitation intensity or exercise volume with personalized exercise prescription
US20200315514A1 (en) Digital biomarkers for muscular disabilities
Anwer et al. Evaluation of physiological metrics as real-time measurement of physical fatigue in construction workers: state-of-the-art review
US10262423B2 (en) Disease and fall risk assessment using depth mapping systems
CN109215804B (en) Mental disease auxiliary diagnosis system based on virtual reality technology and physiological parameter detection
TWI435744B (en) A bilateral upper limbs motor recovery rehabilitation and evaluation system for patients with stroke
CN201879669U (en) Human information monitoring and processing system
WO2011080603A3 (en) Biofeedback for program guidance in pulmonary rehabilitation
Campos et al. Validity of the ActiGraph activity monitor for individuals who walk slowly post-stroke
KR101576526B1 (en) Apparatus and Method for Supporting Rehabilitation Exercise
Lowes et al. Proof of concept of the ability of the kinect to quantify upper extremity function in dystrophinopathy
KR20130093925A (en) Method and apparatus for measuring a stress degree using measuring of heart rate and pulse rate
US20220104755A1 (en) Digital biomarker
US20160283856A1 (en) System and method for determining psychological stress of a person
KR101414975B1 (en) Method and apparatus for evaluating of rehabilitation using emg signal of upper limb
Yousef et al. Biosensing in multiple sclerosis
Sullivan et al. The diagnostic accuracy of selected neurological tests
CN209826737U (en) Hemiplegia acquisition property is useless to be evaluated and treatment device
KR20130129637A (en) A biofeedback system and method using emg for rehabilitation therapy system for muscle endurance
TWM570119U (en) Sleep quality monitoring and calculation/analysis system
US20140371886A1 (en) Method and system for managing performance of an athlete
Daniel et al. Validity study of a triaxial accelerometer for measuring energy expenditure in stroke inpatients of a physical medicine and rehabilitation center
CN204049622U (en) A kind of traditional Chinese pulse-diagnosis instrument

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 20765643

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 20765643

Country of ref document: EP

Kind code of ref document: A1