CN109126045A - intelligent motion analysis and training system - Google Patents

intelligent motion analysis and training system Download PDF

Info

Publication number
CN109126045A
CN109126045A CN201811153563.9A CN201811153563A CN109126045A CN 109126045 A CN109126045 A CN 109126045A CN 201811153563 A CN201811153563 A CN 201811153563A CN 109126045 A CN109126045 A CN 109126045A
Authority
CN
China
Prior art keywords
module
signal
acquisition module
rehabilitation
rack
Prior art date
Legal status (The legal status 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 status listed.)
Pending
Application number
CN201811153563.9A
Other languages
Chinese (zh)
Inventor
朱斌
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Changzhou Taixuan Information Technology Co Ltd
Original Assignee
Changzhou Taixuan Information Technology Co Ltd
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 Changzhou Taixuan Information Technology Co Ltd filed Critical Changzhou Taixuan Information Technology Co Ltd
Priority to CN201811153563.9A priority Critical patent/CN109126045A/en
Publication of CN109126045A publication Critical patent/CN109126045A/en
Pending legal-status Critical Current

Links

Classifications

    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B23/00Exercising apparatus specially adapted for particular parts of the body
    • A63B23/035Exercising apparatus specially adapted for particular parts of the body for limbs, i.e. upper or lower limbs, e.g. simultaneously
    • A63B23/12Exercising apparatus specially adapted for particular parts of the body for limbs, i.e. upper or lower limbs, e.g. simultaneously for upper limbs or related muscles, e.g. chest, upper back or shoulder muscles
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1116Determining posture transitions
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/112Gait analysis
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1126Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique
    • A61B5/1128Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique using image analysis
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/389Electromyography [EMG]
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/40Detecting, measuring or recording for evaluating the nervous system
    • A61B5/4005Detecting, measuring or recording for evaluating the nervous system for evaluating the sensory system
    • A61B5/4023Evaluating sense of balance
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • A61B5/4803Speech analysis specially adapted for diagnostic purposes
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B23/00Exercising apparatus specially adapted for particular parts of the body
    • A63B23/035Exercising apparatus specially adapted for particular parts of the body for limbs, i.e. upper or lower limbs, e.g. simultaneously
    • A63B23/04Exercising apparatus specially adapted for particular parts of the body for limbs, i.e. upper or lower limbs, e.g. simultaneously for lower limbs

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Molecular Biology (AREA)
  • Physics & Mathematics (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Veterinary Medicine (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Physiology (AREA)
  • Orthopedic Medicine & Surgery (AREA)
  • Dentistry (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Physical Education & Sports Medicine (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Neurology (AREA)
  • Neurosurgery (AREA)
  • Rehabilitation Tools (AREA)

Abstract

The invention discloses a kind of intelligent motion analysis and training systems, it is characterised in that: including work of rehabilitation station and treatment control system;The work of rehabilitation station includes rack, and upper limb trainer material and leg training equipment are provided in rack;Sensor group, video camera, touch display and station are provided in rack;Master hosts are provided in station.The treatment control system includes the sound acquisition module for being mounted on the rack and connecting master hosts, Posture acquisition module, surface muscle acquisition module, power module, signal transmission module, Data Storage, signal analysis and processing module, data disaply moudle, sound feedback module.The present invention is capable of providing convenient rehabilitation.After medical worker can select treatment process according to the needs of patient, while patient can voluntarily complete entirely to treat, and instruct without medical worker on side.

Description

Intelligent motion analysis and training system
Technical field
The invention belongs to rehabilitation exercise treatment system fields, more specifically to a kind of intelligent motion analysis and instruction Practice system.
Background technique
For the patient of some upper and lower extremities dyskinesia, rehabilitation training system restores to play an important role to it.Generally, Rehabilitation training system includes pedestal, upper extremity exercise component and lower extremity movement component, specifically, upper extremity exercise component includes being used for Make patient hold handle portion, in the training process, patient can hold handle portion, under the driving of the driving mechanisms such as motor with Handle portion movement, to achieve the purpose that trained.But present rehabilitation system has a single function, intelligence degree is not high.
Summary of the invention
In view of the deficiencies of the prior art, the present invention intends to provide a kind of intelligent motion analysis and training System, design rationally, realize the intelligentized control method of rehabilitation, by comprehensive coordination using various measures, eliminate or mitigate disease wound The body and mind of residual person, social function disorder change quality of life, increase self-reliance, improve the quality of living.Object includes brain soldier In, all kinds of injury gained in sports class diseases, Bones and joints are postoperative, disease of old people and other acute and chronic diseases, congenital sex dysfunction person etc..
To achieve the above object, the present invention provides the following technical scheme that
Intelligent motion analysis and training system, it is characterised in that: including work of rehabilitation station and treatment control system;It is described Work of rehabilitation station includes rack, and upper limb trainer material and leg training equipment are provided in rack;Sensor is provided in rack Group, video camera, touch display and station;Master hosts are provided in station.
The treatment control system includes the sound acquisition module for being mounted on the rack and connecting master hosts, Posture acquisition Module, surface muscle acquisition module, power module, signal transmission module, Data Storage, signal analysis and processing mould Block, data disaply moudle, sound feedback module.
Sound acquisition module, for acquiring glottis source signal and being switched to electronic signal;Posture acquisition module, for adopting Collect the posture inclination angle of the training objective and is switched to electronic signal;Surface muscle acquisition module, for according to the surface Muscle electric signal obtains muscle electric signal liveness information and power spectrum median frequency information and is switched to electronic signal.
Power module connects external power supply and powers to the modules of system.
Signal transmission module is used for main controller module master hosts and sound acquisition module, Posture acquisition module, surface Signal transmission before muscle acquisition module.
Data Storage stores electronic signal information, while storing personal information for establishing database.
Signal analysis and processing module, for analyzing electronic signal and by corresponding information conveyance to sound feedback mould Block.
Data disaply moudle and sound feedback module, for connecting external sound-box device and touch display screen.
Master hosts handle signal and are handled using industrial computer, and finally obtaining a result, it is aobvious to be shown in touch In display screen.
As a kind of technical solution of optimization, the sensor group includes the blood pressure sensor for using human body information, breathing Frequency sensor and step number sensor.
By adopting the above-described technical solution, compared with prior art, the beneficial effects of the present invention are:
1), the present invention is capable of providing convenient rehabilitation.Medical worker can select treatment stream according to the needs of patient Cheng Hou, while patient can voluntarily complete entirely to treat, and instruct without medical worker on side.
2), the present invention is capable of providing comprehensive rehabilitation.According to international function, deformity and health classification, deformity is suffered from The rehabilitation training of person is divided into damaged, limitation of activity, participates in three levels of limitation, and it is pre- to carry out disabled three-level to every patient dialectically Anti- measure makes patient obtain comprehensive rehabilitation.
3), the present invention is capable of providing comprehensive rehabilitation.Three disease, dysfunction, kinematic chain directory systems, it is convenient Physiatrician, rehabilitation treat teacher of the controlling, nurse, the profession such as family members and layman can quickly and accurately find suitable patient into The training program of row rehabilitation.
4), the present invention is capable of providing accurate rehabilitation.The joint in movement is accurately grabbed by joint monitoring It takes, lock and feeds back, to some difficult points of rehabilitation training, such as separate the associated movement mode of hemiplegic patient, improve incoordination The asynchronism of patient, raising acrobatics and tumblings and flexibility etc. play a significant role.
5), the present invention is capable of providing the rehabilitation of profession.Neurodevelopment, movement have been rubbed up to the design for the treatment of project The subject knowledges such as, biomethanics treat rule of the selection of process according to open and close kinematic chain during human motion, this Sample can guarantee the science and training validity for the treatment of project and process.
6), the present invention is capable of providing interesting rehabilitation.Training is based on game, and the design of game fully considers target complex Body and usage scenario, greatly excitation patient's interest, stimulate brain, and passive exercise is become active training, enhance training effect Fruit.
Specific embodiment
Embodiment
Intelligent motion analysis and training system, including work of rehabilitation station and treatment control system.
The work of rehabilitation station includes rack, and upper limb trainer material and leg training equipment are provided in rack;In rack It is provided with sensor group, video camera, touch display and station;Master hosts are provided in station.Above equipment is Existing equipment composition, structure and working principle repeat no more.The sensor group includes the blood pressure using human body information Sensor, respiratory frequen and step number sensor.
The treatment control system includes the sound acquisition module for being mounted on the rack and connecting master hosts, Posture acquisition Module, surface muscle acquisition module, power module, signal transmission module, Data Storage, signal analysis and processing mould Block, data disaply moudle, sound feedback module.
Sound acquisition module, for acquiring glottis source signal and being switched to electronic signal.Posture acquisition module, for adopting Collect the posture inclination angle of the training objective and is switched to electronic signal.Surface muscle acquisition module, for according to the surface Muscle electric signal obtains muscle electric signal liveness information and power spectrum median frequency information and is switched to electronic signal.Electricity Source module connects external power supply and powers to the modules of system.Signal transmission module is used for main controller module master control master Signal transmission before machine and sound acquisition module, Posture acquisition module, surface muscle acquisition module.Data storage management mould Block stores electronic signal information, while storing personal information for establishing database.Signal analysis and processing module, for dividing Analyse electronic signal and by corresponding information conveyance to sound feedback module.Data disaply moudle and sound feedback module, are used for Sound-box device and touch display screen outside connection.
Master hosts handle signal and are handled using industrial computer, and finally obtaining a result, it is aobvious to be shown in touch In display screen.In this patent include human-computer interaction technology program, nerual network technique program in master hosts, man-machine friendship is provided Mutual technology, meanwhile, artificial neural network is the network being interconnected and form extensively by a large amount of artificial neurons, can be used to simulate cranial nerve The structure and function of system has large-scale parallel simulation process, non-linear adaptive information processing capability.
Of the invention is technically characterized by comprising the steps as follows:
1), equilibrium function assessment and training technique.
The technology can carry out the function of a variety of organs of decision balanced ability of human body comprehensively, accurately quantitatively motivating, Avoiding artificial randomness can be not only used for the equilibrium function of assessment patient with uncertainty, while because in test process In can apply the quantitative excitations of different rotation directions to patient vola, thus activate repeatedly patient vestibular and nervous centralis into Row balance adjustment, is trained repeatedly, effectively enhances the body balance of patient.The technology is for training, restoring people When body equilibrium function, it can be balanced functional test at any time, make patient that can see the effect of its balance function training, recovery at any time Fruit, thus also greatly improve the rehabilitation enthusiasm of patient.
2), exercise for power and evaluation technology.
A variety of training and test pattern are highly integrateable on a work of rehabilitation station by the technology by modularized design, are made Dyskinesia patient realizes that unrestricted choice is suitble to the single mode of displacement ability or multi-mode to combine, emphasis is trained and whole The rehabilitation training that training combines;Simultaneously during patient carries out exercise rehabilitation training to its own motor function data into Row acquisition in real time, timely feedbacks and assesses, and really realizes digitlization rehabilitation.
3), recovery exercising robot assists ambulation training technology.
Based on Artificial Intelligence, modelling defines man-machine intention and understands and interact, and realizes gait planning, stability control System, movement identification and personalized formulation Motion Control Strategies etc., are worked out to restore lower extremity motor function as main syllabus target health Multiple measure contains many attitude control and training mode, every athletic performance of real simulation human body;Gradual joy Happy interaction rehabilitation training: lively scene interactive mode rehabilitation training interface, design plurality of target guide type training trip are constructed Play is fused to various craps games in limbs training, improves interest and subjective initiative that patient carries out rehabilitation training, and Patient oneself can be prompted to carry out the amendment of posture and movement.
4), voice process technology.
The technology acquires glottis source signal using dedicated microphone and is switched to electronics by way of software and hardware combining Signal recycles the analysis of inverse filtering algorithm, processing voice signal, realizes to patient respiratory, sounding, sympathetic response, structure sound and voice etc. Chinese verbalization carries out real-time, objective, quantification measurement, and multimedia audio-visual is combined to feed back, and passes through the reality of speech parameter When monitoring with variation driving training game, realize area of computer aided speech rehabilitation training.
5), neural network rehabilitation technique.
Artificial neural network is the network being interconnected and form extensively by a large amount of artificial neurons, can be used to simulate cerebral nervous system Structure and function, have large-scale parallel simulation process, non-linear adaptive information processing capability.Nerual network technique is taken root In subjects such as nervous system, mathematics, statistics, physics, engineering science, computer science.Currently, nerual network technique is answered For rehabilitation field, such as expert diagnostic system neural network based.The system is generally by medical record management, diagnostic system, rehabilitation The modules such as training composition, can intelligent diagnostics patient obstacle feature, isolate the barrer types, and export rehabilitation training suggestion and plan Slightly.
6), human-computer interaction technology.
The interactive relation between system and user is mainly studied in human-computer interaction, mainly by the external equipment that can be inputted, export It is completed with corresponding software.Mainly there are keyboard, display, mouse, various pattern-recognitions for the equipment that human-computer interaction uses Equipment.Currently, the human-computer interaction for being applied to rehabilitation field mainly has human-computer interaction technology based on body-sensing, based on the man-machine of eye movement Interaction technique, human-computer interaction technology based on sensing etc..For example, the man-machine friendship of body-sensing in active movement comprehensive rehabilitation training system It mutually, is that traditional mode of operation and digital device and environment interaction are replaced by gesture or body action;Eye movement attention Eye movement human-computer interaction in training system is to replace traditional mode of operation and digital device by Eye-controlling focus, eye movement signal etc. Interaction.
7), image detection and processing technique.
Image detection and processing are handled it by computer after that is, image capture device obtains image information Process.Wherein, image processing process is related to the technology of Image Acquisition, feature extraction and image recognition etc..Currently, image is examined It surveys and processing technique is also gradually applied in rehabilitation field, including glottis dynamic chek, Larynx endoscope inspection, artificial scene are mutual Dynamic rehabilitation etc..For example, the 3D earth in active movement comprehensive rehabilitation training system, by personage's real-time image scratching and the virtual feelings of 3D Scape combines, and user is allowed to place oneself in the midst of impression and picture element Interactive Experience in game, easily freely carries out with virtual environment mutual It is dynamic.
8), natural human-machine interaction and Technology of ZO control.
According to the motion intention for identifying rehabilitation object with the electromyography signal and visual information of patient itself, make rehabilitation machines Device people is moved by the intention of people, is realized that people-machine is naturally co-melting, can be obviously improved rehabilitation effect.Perceive man-machine interaction's power, collaboration The dynamic parameters such as movement velocity, man-machine system inertia establish the active/passive impedance adjustment of healing robot, through human eye hole The motion intention of rehabilitation object is examined, people-machine natural interaction and Technology of ZO control are broken through.
9), human body lower limbs motion state detection and motion intention identification technology.
In complicated human body lower limbs moving scene, the variation of lower extremity movement state is observantly detected, identify under human body The compound movements such as limb standing, swinging kick are intended to, and realize the servo antrol of lower limb rehabilitation robot accordingly, make lower limb rehabilitation robot control System processed can quickly and accurately react, and be to realize lower limb rehabilitation robot and wearer's harmonious coexistence, it is ensured that robot provided Move the key technology that comfortable, submissive, security needs solve.
10), gait training and assessment technology based on sound feedback.
Gait training and assessment system based on sound feedback, it is characterised in that: including power module, master controller mould Block, gait parameter acquisition module, signal transmission module, reception signal terminal, data storage and management module, signal analysis and place Manage module, data disaply moudle and sound feedback module, wherein the power module is adopted with main controller module and gait parameter Collect module connection, main controller module connect with gait parameter acquisition module, main controller module pass through signal transmission module and Reception signal terminal connection, data storage and management module and Digital Signal Analysis and Processing module and data disaply moudle respectively with Reception signal terminal connection, Digital Signal Analysis and Processing module and gait parameter acquisition module are connect with sound feedback module respectively.
11), the inertial sensor initial position identification technology based on dynamic time warping algorithm.
Inertial sensor initial position recognition methods based on dynamic time warping algorithm, including signal acquisition: by inertia Sensor is fixed on the initial position of concrete application requirement, then acquires the original signal of inertial sensor in a period of time;Letter Number pretreatment: denoising and rejecting abnormalities point, to filter out the system in original signal collection process.Noise and rejecting in communication and pass Exceptional value caused by during defeated;Calculating similarity is carried out to pretreated signal based on dynamic time warping algorithm;It is defeated The recognition result of inertial sensor initial position out;When being in initial position to inertial sensor using dynamic time warping algorithm Signal and correct initial position signal carry out similarity measurements quantization, thus to the correctness of inertial sensor initial position into Row identifies and judges;This method can be adapted for the time series of Length discrepancy, and can be adapted for the presence of offset on a timeline The case where, while not needing acquisition early period great amount of samples.
Protection scope of the present invention is not limited merely to above-described embodiment, and all technical solutions belonged under thinking of the present invention are equal It belongs to the scope of protection of the present invention.It should be pointed out that for those skilled in the art, not departing from the present invention Several improvements and modifications under the premise of principle, these modifications and embellishments should also be considered as the scope of protection of the present invention.

Claims (2)

1. intelligent motion analysis and training system, it is characterised in that: including work of rehabilitation station and treatment control system;
The work of rehabilitation station includes rack, and upper limb trainer material and leg training equipment are provided in rack;It is arranged in rack There are sensor group, video camera, touch display and station;Master hosts are provided in station;
The treatment control system includes the sound acquisition module for being mounted on the rack and connecting master hosts, Posture acquisition mould Block, surface muscle acquisition module, power module, signal transmission module, Data Storage, signal analysis and processing mould Block, data disaply moudle, sound feedback module;
Sound acquisition module, for acquiring glottis source signal and being switched to electronic signal;Posture acquisition module, for acquiring It states the posture inclination angle of training objective and is switched to electronic signal;Surface muscle acquisition module, for according to the surface muscle Electric signal obtains muscle electric signal liveness information and power spectrum median frequency information and is switched to electronic signal;
Power module connects external power supply and powers to the modules of system;
Signal transmission module is used for main controller module master hosts and sound acquisition module, Posture acquisition module, surface muscle Signal transmission before acquisition module;
Data Storage stores electronic signal information, while storing personal information for establishing database;
Signal analysis and processing module, for analyzing electronic signal and by corresponding information conveyance to sound feedback module;
Data disaply moudle and sound feedback module, for connecting external sound-box device and touch display screen;
Master hosts handle signal and are handled, finally obtain a result and be shown in touch display screen using industrial computer On.
2. intelligence motion analysis and training system according to claim 1, it is characterised in that: the sensor group includes Using the blood pressure sensor of human body information, respiratory frequen and step number sensor.
CN201811153563.9A 2018-09-30 2018-09-30 intelligent motion analysis and training system Pending CN109126045A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811153563.9A CN109126045A (en) 2018-09-30 2018-09-30 intelligent motion analysis and training system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811153563.9A CN109126045A (en) 2018-09-30 2018-09-30 intelligent motion analysis and training system

Publications (1)

Publication Number Publication Date
CN109126045A true CN109126045A (en) 2019-01-04

Family

ID=64813914

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811153563.9A Pending CN109126045A (en) 2018-09-30 2018-09-30 intelligent motion analysis and training system

Country Status (1)

Country Link
CN (1) CN109126045A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109907932A (en) * 2019-04-08 2019-06-21 中国航天员科研训练中心 A kind of vestibular stimulation influence human upper limb locomotion control research experiment system
CN112675493A (en) * 2021-01-11 2021-04-20 吉首大学 Leg exercise device for dancing gym and control method thereof
CN113208597A (en) * 2021-06-04 2021-08-06 郑州大学 Cerebral apoplexy patient rehabilitation conditioning system and method based on self-learning technology
CN115344149A (en) * 2021-04-28 2022-11-15 欧姆龙株式会社 Recording medium, analysis support method, and analysis support system

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104077495A (en) * 2014-07-17 2014-10-01 杜晓松 Wearable human body feature information collecting and monitoring system
CN105963926A (en) * 2016-04-29 2016-09-28 中国科学院苏州生物医学工程技术研究所 Multi-mode fusion hand function rehabilitation training and intelligent evaluation system
CN107239147A (en) * 2017-07-12 2017-10-10 广州阿路比电子科技有限公司 A kind of human body context aware method based on wearable device, apparatus and system
CN107379815A (en) * 2017-09-05 2017-11-24 郑高伟 Novel binder clamping structure

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104077495A (en) * 2014-07-17 2014-10-01 杜晓松 Wearable human body feature information collecting and monitoring system
CN105963926A (en) * 2016-04-29 2016-09-28 中国科学院苏州生物医学工程技术研究所 Multi-mode fusion hand function rehabilitation training and intelligent evaluation system
CN107239147A (en) * 2017-07-12 2017-10-10 广州阿路比电子科技有限公司 A kind of human body context aware method based on wearable device, apparatus and system
CN107379815A (en) * 2017-09-05 2017-11-24 郑高伟 Novel binder clamping structure

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109907932A (en) * 2019-04-08 2019-06-21 中国航天员科研训练中心 A kind of vestibular stimulation influence human upper limb locomotion control research experiment system
CN109907932B (en) * 2019-04-08 2023-12-26 中国航天员科研训练中心 Human upper limb movement control research experiment system influenced by vestibular stimulation
CN112675493A (en) * 2021-01-11 2021-04-20 吉首大学 Leg exercise device for dancing gym and control method thereof
CN115344149A (en) * 2021-04-28 2022-11-15 欧姆龙株式会社 Recording medium, analysis support method, and analysis support system
CN113208597A (en) * 2021-06-04 2021-08-06 郑州大学 Cerebral apoplexy patient rehabilitation conditioning system and method based on self-learning technology
CN113208597B (en) * 2021-06-04 2022-12-27 郑州大学 Cerebral apoplexy patient rehabilitation conditioning system and method based on self-learning technology

Similar Documents

Publication Publication Date Title
Da Gama et al. Motor rehabilitation using Kinect: a systematic review
CN109126045A (en) intelligent motion analysis and training system
Wang et al. Feature evaluation of upper limb exercise rehabilitation interactive system based on kinect
CN107422841A (en) A kind of man-machine interaction method based on contactless Emotion identification
Moldoveanu et al. The TRAVEE system for a multimodal neuromotor rehabilitation
CN109199417A (en) A kind of augmented reality method and system for athletic rehabilitation treatment
Aguilar-Lazcano et al. Interaction modalities used on serious games for upper limb rehabilitation: a systematic review
Semblantes et al. Visual feedback framework for rehabilitation of stroke patients
Korik et al. Decoding imagined 3D arm movement trajectories from EEG to control two virtual arms—a pilot study
Nankar et al. The interacting effects of treadmill walking and different types of visuospatial cognitive task: Discriminating dual task and age effects
Caraiman et al. Architectural design of a real-time augmented feedback system for neuromotor rehabilitation
Scano et al. Robotic assistance for upper limbs may induce slight changes in motor modules compared with free movements in stroke survivors: a cluster-based muscle synergy analysis
CN113066260A (en) Parkinson's disease early warning system based on daily behavior analysis
Trujillo-Guerrero et al. Accuracy comparison of CNN, LSTM, and Transformer for activity recognition using IMU and visual markers
Yang et al. Hand rehabilitation using virtual reality electromyography signals
WO2021148880A1 (en) Systems for dynamic assessment of upper extremity impairments in virtual/augmented reality
Lv et al. Virtual reality neurorehabilitation
Rho et al. Multiple hand posture rehabilitation system using vision-based intention detection and soft-robotic glove
Venkataraman et al. Component-level tuning of kinematic features from composite therapist impressions of movement quality
Gao et al. Research on the usability of hand motor function training based on VR system
Davids et al. Artificial Intelligence for Physiotherapy and Rehabilitation
CN115067934A (en) Hand motion function analysis system based on machine intelligence
Scano et al. A Kinect-Based Biomechanical Assessment of Neurological Patients' Motor Performances for Domestic Rehabilitation
Zaher et al. A framework for assessing physical rehabilitation exercises
Costa et al. Biomechanical Evaluation of an Exoskeleton for Rehabilitation of Individuals with Parkinson's Disease

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20190104