CN111358449A

CN111358449A - Household device for monitoring cerebral apoplexy and early discovering and early warning

Info

Publication number: CN111358449A
Application number: CN202010050061.4A
Authority: CN
Inventors: 董思羽
Original assignee: Shanghai Private Secondary School
Current assignee: Shanghai Private Secondary School
Priority date: 2020-01-16
Filing date: 2020-01-16
Publication date: 2020-07-03

Abstract

The invention designs a device which can be used for discovering and early warning the possibility of stroke in a non-medical environment, such as a family, and comprises a main control module 11, a physiological data module 12, a walking habit module 14, a detection starting button 9, a display module, a touch screen 1, a camera 15 and a communication module 6, wherein the main control module 11 comprises a storage module, an activation module, a detection module and a data analysis module, and the detection module of the device can be triggered by a user to start detection by the detection starting button 9; or after the data fed back to the activation module by the walking habit module 14 and the physiological data module 12 is compared with the corresponding data in the storage module for operation, the detection is started. The device can also be provided with a pressure deformation belt 2 and a pressure sensor 3 below the display module and the touch screen 1, and if no response is made after a certain period of time and the pressure is not released, the communication module 6 is triggered to contact the pre-stored emergency contact or medical institution.

Description

Household device for monitoring cerebral apoplexy and early discovering and early warning

Technical Field

The invention relates to a device which is used by medical institutions such as non-hospitals or clinics, namely in non-medical environments such as families and used for early detecting and early warning of possibility of stroke.

Background

Stroke, also known as stroke or cerebrovascular Accident (CVA), is an acute cerebrovascular disease, a group of diseases in which brain tissue is damaged due to sudden rupture of Cerebral vessels or blood flow into the brain due to vessel occlusion, and includes ischemic and hemorrhagic stroke. The incidence rate of ischemic stroke is higher than that of hemorrhagic stroke, and accounts for 60-70% of the total stroke. With the advent of aging society, the aged population will increase to 4.18 billion in our country for 20 years in the future. Cerebrovascular diseases will become the first three diseases threatening the health of the old. Clinical practice has shown that the later treatment is initiated, the more severe the deterioration and the higher the mortality rate. The patient with cerebral apoplexy is pre-diagnosed and rescued in time, and the cure rate of cerebral apoplexy can be obviously improved, and the disability rate and the death rate are reduced.

According to the 'Chinese cardiovascular disease report 2018', the number of the existing cardiovascular diseases in China is 2.9 million, wherein 1300 million cerebral apoplexy exists, and the cerebral apoplexy screening project analyzes 12526 first cerebral apoplexy cases which are more than 40 years old during 2013 and 2002, and the incidence rate of the first cerebral apoplexy of adults 40-74 years old is increased from 189/10 million in 2002 to 379/10 million in 2013, and is increased by 8.3% every year. The prevention and treatment of cerebral apoplexy is a great public health problem and is not easy.

The total number of deaths of residents in 2016 in China is 967.0 ten thousand, and the cardiovascular diseases 397.5 ten thousand account for 41.1 percent, which is the leading cause of death of residents in China. Ischemic heart disease, cerebral arterial thrombosis and hemorrhagic stroke are the most important three cardiovascular diseases, the death number in 2016 is 172.3 ten thousand, 72.9 ten thousand and 106.1 ten thousand respectively, and the total death number accounts for 88.3 percent of the total death number of the cardiovascular diseases.

The most relevant risk factors for stroke onset are hypertension, followed by family history, hyperlipidemia, atrial fibrillation, diabetes, physical inactivity, smoking and obesity.

About 250 million people suffer from stroke every year in China, about 150 million people die of stroke patients every year, and the incidence rate reaches 120/10 ten thousand. There are 700 thousands of patients with stroke, 450 thousands of which are unable to take care of themselves in different degrees of life. The disability rate is as high as 75 percent.

The university of California in the United states counted that 190 million nerve cells died every minute in the brain if stroke patients were not treated in time. Hypoxic brain ages an equivalent of 3.6 years per hour.

According to the survey of 2270 cerebral apoplexy cases in 35 hospitals all over the country, 54.2 percent of patients can not be delivered to the hospital within 3 hours of the attack, and the rescue treatment time is lost.

Clinical manifestations

The most common symptoms of stroke are sudden feelings of weakness in one side of the face, arms or legs, sudden dizziness, unconsciousness, and other symptoms including: numbness of one side of face, arms or legs or facial distortion and hemiplegia; mental confusion, speech or difficulty in understanding; difficulty in viewing objects with one or both eyes; difficulty walking, dizziness, loss of balance or coordination; unexplained severe headache; syncope, etc. The neurological dysfunction is classified into three types according to the severity and duration of symptoms after the stenosis and occlusion of cerebral arteries.

1. Transient Ischemic Attack (TIA)

Internal carotid artery ischemia is characterized by sudden limb movement and sensory disturbance, aphasia, transient blindness in a single eye and the like, and little disturbance of consciousness. Vertebral artery ischemia is manifested by vertigo, tinnitus, hearing impairment, diplopia, gait instability, dysphagia, etc. The duration of symptoms is shorter than 2 hours, and the symptoms can be repeatedly attacked, even several times or tens of times a day. Can relieve the sequelae by itself. There was no obvious infarct focus in the brain.

2. Reversible Ischemic Neurological Dysfunction (RIND)

Basically the same as TIA, but the duration of the neurological dysfunction is more than 24 hours, some patients can reach several or tens of days, and finally, the patients gradually and completely recover. The brain may have small infarct foci, mostly reversible lesions.

3. Total stroke (CS)

The symptoms are more severe than TIA and RIND, and are continuously worsened, and consciousness disorder is often caused. The brain develops obvious infarct foci. The neurological dysfunction can not be recovered for a long time, and the complete stroke can be divided into light, medium and heavy types.

Brain stroke precursor

4. Researches find that common premonitory symptoms of cerebral apoplexy sequentially comprise:

(1) dizziness, especially sudden sensations of vertigo.

(2) Numbness of the limbs, sudden numbness of one side or the hands and feet, and some numbness of the tongue and lips.

(3) Temporarily unclear words or speech.

(4) Weakness of limbs or restlessness.

(5) Different from usual headache.

(6) A sudden fall or faint for unknown reasons.

(7) Temporary loss of consciousness or sudden changes in personality and mental capacity.

(8) The whole body is obviously weak, and the limbs are weak.

(9) Nausea, vomiting, or blood pressure fluctuations.

(10) Drowsy throughout the day, in a somnolence state.

(11) One or more limbs are involuntarily twitched.

(12) The eyes feel unclear what appears before eyes.

Most of the existing stroke discovery mechanisms are based on the early warning level (for example, CN109480780) based on monitoring the change of related factors such as hypertension or image analysis technology, and can be completed only by professional medical equipment. However, both ischemic stroke and complete stroke inevitably occur in various environments, especially in the case of individual life of a patient, and once not discovered in time, they have serious consequences which are reversible or irreversible.

In order to solve the requirement of early warning of early stroke discovery in the life of ordinary people, the invention provides portable equipment for early stroke discovery and evaluation, which can be communicated with a mobile phone.

Disclosure of Invention

The invention provides household non-professional medical equipment which can interact with a smart phone and is used for early warning of early stroke discovery. If necessary, the person with potential risk of stroke is detected to some extent and if prompted, the family members or the person themselves are informed. Since the mobile phone is not necessarily around the user in the case of a stroke, the module may be incorporated with a fastening member, such as an elastic wrist band, waist band or ankle band, separately in a hardware integrated manner for fastening to the user as needed. The device body of fig. 1 may be fitted with any wearable device, as long as it is ensured that its inner side, i.e. the opposite side of the display screen, is close to the skin, enough to accomplish the required signal collection. Fig. 2 shows a bracelet form in which a bracelet body is worn on a user's wrist by a 16 right-hand zone and a 17 left-hand zone. Figure 2 is not intended to be limiting as to the manner of wear of the present invention. Fig. 2 has a SIM card socket 8, a device switch 7 and a detection start button 9 on one side as shown, and a device charging hole, not shown in the figure, on the other side.

The device is described below by taking the wearing form of a bracelet as an example. This cerebral apoplexy early-discovery bracelet, including host system 11, physiological data module 12, walking habit module 14, detect start button 9, display module and touch-sensitive screen 1, camera 15, communication module 6, wherein host system 11 includes storage module, activation module, detection module and data analysis module, bracelet shell 10 can insert the SIM card through SIM card socket 8, realize external communication, detection module accessible triggers and detects start button 9, or walking habit module 14 and physiological data module 12 feed back to the data of activation module and the storage module in the data comparison operation after show "unusual" or "highly suspected" start detection down. This bracelet can also set up pressure deformation area 2 and pressure sensor 3 in display module and touch-sensitive screen 1's below, when display module and touch-sensitive screen 1 are pressed by whole, pressure deformation area of its below is experienced pressure then transmits pressure sensor 3 to, then triggers the display module suggestion and accompanies the prompt tone this moment, reminds the user whether have the maloperation, no answer and pressure are not released after a certain period of time, then triggers communication module 6 and contacts and prestore urgent contact person or medical institution wherein.

The detection module also needs to collect detection data of the user in a non-morbidity state during initial application and store the detection data in the storage module. Besides detecting and collecting blood pressure and pulse data, the physiological data module also collects facial data of a user through a camera in multiple angles, and the data are stored in the storage module. The storage module stores initial data of the physiological data module, the walking habit module and the detection module, the initial data comprises physiological data, walking habit data and data of a detection process in the detection module under the condition of no morbidity acquired within 24 hours of first use, and the activation module acquires the data of the physiological data module, the walking habit module and the detection module in real time and compares the data with the initial data stored in the storage module. The initialization data in the physiological data module includes normal life data collected during 24 hours of use for the initial use, both lying and not lying. The detection module can require a user to complete the detection of finger fine movement, basic language expression capability and balance force according to detection items through a voice prompt mode. The data analysis module compares the data of each detection item in the detection module with the initial data stored in the storage module. And the data analysis module compares the data of the detection module with the initialization data of the storage module to obtain an abnormal result, and then sends a signal to the communication module to trigger external communication.

The following describes the main modules in detail:

the physiological data module is used for collecting blood pressure pulse and full face facial data, including blood pressure and pulse data collected by a sensor. According to the program design, the data which needs to be acquired when people are in a still lying state and walk at a constant speed when people wear the mask for the first time can be added in different time periods, the data of common facial expressions and smiles can be acquired at multiple angles according to the prompting steps, and complete facial data can be acquired at multiple angles. And storing the basic physiological parameters in a storage module.

The walking habit module collects the pace frequency and pace speed of the user and the walking habit data during the initial use stage, i.e. a short time, such as 4-6 hours or up to 24 hours or more for the first use, and stores the data in the storage module.

The activation module is activated by three parallel non-interfering signals, ① walking habits or obvious abnormal changes of physiological parameters, ② detection start buttons are pressed by a user, ③ pressure deformation belts deform for a long time, the pressure of the pressure deformation belts is sensed on the pressure sensor all the time, but the user can not release the pressure after prompting.

The storage module is used for collecting and storing user data and specifically comprises: physiological data (blood pressure and pulse), multi-angle facial feature data, walking habit data and audio data for answering questions according to instruction setting when a user uses the device for the first time. The problems with different complexity are set according to the actual age and condition of the user, and the audio data are recorded and stored in the storage device respectively. For example, the device could ask "what is your name? When the user is beeping, the audio card collects the audio answered by the user and stores the audio in the storage module. When the detection module is used initially, the detection module can be directly used, and data in the process of completing the detection task is recorded in the storage unit. Such as the length of time and the accuracy with which the user moves the relevant object on the screen or completes a single task, are recorded.

The detection module comprises a microphone, a touch screen and an accelerometer of the smart phone to evaluate symptoms of a user, namely, the cerebral apoplexy incidence risk degree of the user is evaluated through the mode and the reaction time of the user for executing tasks such as voice induction, finger patting and dragging, balance and the like. For example, but not limited to, the following specified operations:

● the dragging slider is loosened at the designated position, and the complete picture is pieced together (fine movement of the wrist and fingers, control force and speed);

● looking at the picture and clicking the name of things (vision, intelligence, memory, finger fine movement);

● the user answers the question preset by the detection module, and answers the choice question by listening the voice question sent by the detection module through the audio card and the loudspeaker 4, and tests the conditions of the user in the aspects of hearing, language expression, intelligence, memory and the like, and partial answers can be input by voice;

● the method of taking photos of big head of self-portrait face is the same as the method of collecting data of whole face, when comparing the obtained face data, such as smile, comparing with the collected data of whole face, when the smile on one side or two sides of face is stiff, or there is a condition of mouth distortion and eye skew, the risk coefficient will be increased. The detection mode requires that the user lifts the wrist on which the device is worn and aligns the camera on the bracelet with the face, so that the detection mode can reflect the limb movement function and the balance capability of the user and can obtain the conditions of paralysis or paralysis of the facial muscles of the user and the like.

And the data analysis module is used for comparing the physiological parameters, the walking habits or the detection data obtained by real-time monitoring with the data stored in the storage module, and sending a signal to the communication module to activate the communication module under the condition that the comparison result shows that the physiological parameters, the walking habits or the detection data are obviously abnormal or are obviously suspected. For example, when the user wears the mobile phone, the audio data of the user answering the question is collected, the audio data stored in the storage module is used as a comparison object, and when the deviation exceeds a certain degree, a signal is sent to the communication module to perform communication with the outside.

Before this, however, in order to reduce the noise in the signal, the data analysis module first evaluates the risk coefficients separately, including counting the result data of these tests, and calculates the final risk coefficient based on the single-way risk coefficient being too high (e.g. showing only hemiparesis of the face) or the multiple risk coefficient values all being at the median level, with the superposition effect. And if the data analysis module prompts that automatic alarm needs to be started according to the detection, the data analysis module sends a signal to the display module. In other words, when one or all of the detections show that the detection is highly suspected, the data analysis module transmits the information to the communication alarm module.

Meanwhile, according to the requirement, in the initial setting, for preventing the misoperation condition in the subsequent use, the selection opportunity of selecting the specific condition by the user is provided, and the selection opportunity is not directly signaled to the communication module, for example, the conditions of the user are determined by selecting 'yes' or 'no', so that whether the communication module is connected or not is confirmed again. For example, it may be arranged that the user does not select later than 15 seconds or longer, and signals the communication module directly.

The display module and the touch screen 1, the display module and the touch screen 1 realize a man-machine interaction platform, and the interaction interface taking the graphic as a main display mode avoids the inadaptation of the elder to a keyboard or other operating systems.

The communication module comprises the following units:

1. the contact setting unit sets the contact information of the prior contact by the user or the family members, and can directly dial out the prior contact in case of emergency, for example, the prior contact is directly set as 999 or 120.

2. The wireless communication unit can take the SIM card as a calling user end to call out.

3. And the position acquisition unit is used for sending the acquired position information to the contact person.

The device aims to provide a prompt for early finding and processing for a patient or family members when stroke occurs in a non-medical institution by integrating the prompt, so that the condition that the stroke patient is not found in time or is not contacted outwards in time under the accident condition is prevented.

Drawings

FIG. 1 is an exploded view of the main body of the stroke monitoring and warning device

FIG. 2 is a perspective view showing the entire appearance

FIG. 3 shows a walking habit unit

Wherein the reference numbers are as follows: 1 display module and touch screen, 2 pressure deformation zone (alloy), 3 pressure sensor, 4 audio card and loudspeaker, 5 battery, 6 communication module, 7 equipment switch, 8 SIM card socket, 9 detection start button, 10 shell, 11 main control module (including mainboard, detection module, storage module and data analysis module, activation module), 12 physiological data module, 13 detection module, 14 walking habit module, 15 camera, 16 right hand zone, 17 left hand zone

30 accelerometer, 31 accelerometer housing, 32 piezoelectric material, 33 mass, 34 electrical signal output, 40 gyroscope (angular velocity meter), 41 gyroscope frame, 42 rotation axis, 43 gimbal, 44 rotor, 45 pitch rotation, 46 yaw rotation, 47 roll rotation

FIG. 4 is a flow chart of the operation of the apparatus

Detailed Description

The above technical content needs to be accomplished by the cooperation of hardware and software, and the following detailed description is only intended to illustrate the technical content and not to limit the technical content in any legal sense.

And the physiological data module 12 is used for collecting blood pressure pulse and whole face facial data. When the device is worn for the first time, blood pressure pulse and whole face facial data under the conditions of recumbency and non-strenuous exercise need to be collected, and the blood pressure pulse and pulse data are collected through a sensor. According to the programming, in the initial setting, the user can acquire multi-point facial data in multiple angles according to the prompting steps, including conventional expression data such as smile data, for example, the user can switch from a calm state to a smile state, and the data is usually shot and acquired by a camera in multiple angles (for example, the face turns left and then turns right, etc.), so as to form complete facial data. And respectively storing the blood pressure and pulse data in the sleeping state, the blood pressure and pulse data in the normal walking state of life, the facial multipoint data in the calm state and the facial multipoint data in the smile expression in a storage module.

The walking habit module 14 collects habit data of a user, and after the habit data is measured by the accelerometer 30 and the angular velocity meter 40, the habit data is transmitted to the storage module, and wearing data for a certain period of time, such as 24 to 48 hours, is stored in the storage module for analyzing the walking habit data and the data of the up-down acceleration and the angular velocity during walking. For example, by accelerometers or gravimeters of MEMS and angular velocity meters. The following are merely examples, and when recording the pace frequency, the pace speed and the walking habit, the real-time change of the electric signal 34 caused by the acceleration of the mass 33 acting on the piezoelectric material 32 is recorded in the storage module; however, this data does not characterize the walking habit, and the same time interval angular velocity meter 40 also collects the data of the angular velocity changes of the accelerometer 30 at the same time, and the yaw data of the rotor 44 of the gyroscope 40 in the user's walking is recorded at the angles of the pitch rotation 45 and the roll rotation 47, and the simultaneous yaw rotation 46. In other words, the pitch and yaw angles of the user during wear within the same millisecond of the acceleration of the mass 33 are also recorded. Actually, each person's walking habits have fixed parameters, and criminal investigation shows that there is basically no completely identical walking habit law, so that such data is extremely valuable to a specific user.

The storage unit in the main control module 11 stores the above initialization data, including physiological data (blood pressure and pulse) in the state of lying still and normal living, data of multi-angle facial features, and walking habit data. In addition, when the device is used for the first time, a user needs to set an answer question according to an instruction provided by the detection module, and the storage module can store the audio data collected by the audio card 4 for analysis by the data analysis module. The problems with different complexity are set according to the actual age and condition of the user, and the audio data are recorded and stored in the storage device respectively. For example, the device could ask "what do your work? The audio card would collect the audio of the user's answer, e.g. "i am plumber" at this time in "beep" sound, which is stored in the storage module. When the device is initially used, the detection module can be further used, and data in the process of completing the detection task is also recorded by the storage unit. Such as the length of time and the accuracy with which the user moves the relevant object on the screen or completes a single task, are recorded. For example, in the initial setting, the user completes the task of loosening the complete picture by dragging the slider at the designated position under the healthy state, and indicates the fine movements of the wrist and finger, the control force and speed, etc. to obtain the data of the moving speed and the reaction time of the user, and the data is stored in the storage unit as the comparison basis. Since each person has different reaction time and operation speed in objective conditions, there are undeniable individual differences depending on the comparison between the health and the illness, for example, young and old people, and people with good and poor vision have different reaction speed and movement speed. Therefore, it is necessary to collect the detection data without the disease at the time of initialization.

The activation module can be activated for the data analysis module; or may be actively activated by the user himself. The test start button 9 can be triggered directly by the user himself to activate the test module for testing when the user himself has a significant pathology rather than a suspicion. Because the apoplexy is unexpected, the user probably can not self arouse activation module, and when the apoplexy was attacked, under the inconvenient circumstances of walking such as hemiplegia that probably leads to, the conventional law of step frequency pace will change certainly, also can trigger activation module 13 at this moment, further activates communication module 6 and sends the signal to the contact. Or in an extreme case, the detection by the activation module is not needed, that is, when the user determines that the self condition is critical, for example, the user really has a sudden stroke and the user knows clearly, the user can press or press the whole device for a long time, and at this time, the use of the communication module 6 can be directly triggered, and the data such as the position information acquired by the GPS position unit of the user can be sent to the contact person. In this case, it is not necessary to pass the time for activating the module, and as long as the whole or one side of the display screen 1 is pressed for a long time (for example, in the case where it is difficult to ensure self-care ability when a user suffers from a disease, the user presses the device with a body part), the pressure on the pressure deformation belt 2 thereunder is not released for a while, that is, the communication module 6 is directly triggered.

The detection module may perform the following steps:

1. a mobile phone user sets a specific contact person and a personalized answer of a preset question; if the answer audio of "i call x, retired in the last year" originally exists, the user needs to complete the answer of the same question according to the same initialization operation, collect the audio signals, and provide the audio signals to the data analysis module to analyze whether the audio signals have serious drift, such as the situation that the mouth and teeth are obviously unclear can be judged.

2. Detecting the fine movement of a certain hand, especially fingers: dragging the slider to splice the whole picture, reading pictures and identifying objects, listening to voice to answer a selection question, shooting a photo and the like. As in the examples already described in the summary section above.

The data analysis module compares the physiological data and/or walking habit data obtained in real time with the initial data in the storage module, and if a large difference is generated, an 'abnormal' or 'highly suspected' signal is sent to the communication module, so that the communication module 6 can contact the existing emergency contact or other emergency call medical institutions. For example, if the data analysis module determines that the risk assessment is obviously abnormal or highly suspected, the data analysis module sends a signal to the communication module 6 to start external communication for alarming, and simultaneously, the data analysis module can also send a signal to the display module and prompt the user to pay attention to the manual state of the device along with a prompt tone. The user may be given the option of "yes" or "no" connection to the communication module 6. If the user does not select later than 15 seconds or longer, a signal is sent to the communication module 6. If the user selects "no," this indicates that the device may be mishandled by the user.

The communication module 6 comprises the following parts:

1. the contact person setting unit is used for storing the contact way of the emergency contact person in advance according to the requirement of a user when the equipment is in an initial state so as to communicate outwards when the data analysis module gives a signal.

2. And the wireless communication unit is started immediately when the data of the detection unit is fed back to be abnormal and suspected, so that the position acquisition unit or the contact unit is triggered.

And 3. the GPS position acquisition unit is started to send the acquired position information to the contact person, or if necessary, 120 can be set as the contact person. And automatically sending alarm information containing the current mobile phone position information to a preset contact person.

In the following, three operation modes will be specifically described with reference to fig. 4, in both the first and second embodiments, detection is performed by the detection module, and in the third embodiment, detection is not required in response to an emergency.

Example one

When the device is initially used by a user, firstly, the basic data of the user is collected and stored in the storage module. The data comprises basic data of the user collected by the physiological data module and the walking habit module, and data responded by the user according to the instruction given by the detection module. For example, the data of the moving speed and the reaction time of the slider in the finish moving drag picture for loosening the complete picture at a specified position, the data of the reaction speed and the correct rate for looking at the picture click name, the correct rate and the audio data for listening to the voice answer choice (for example, speaking the audio of the name of the user), the face data of a big head shot of a self-shot face (including smile data). These data in the initial mode are also needed in other embodiments of the present specification and other improvements of the present invention, i.e., any subsequent operation is premised on the fact that these data are pre-stored in the memory module as comparison base data at the initial stage of use.

The physiological data module collects the physiological data and sends the physiological data to the activation module, the activation module collects the data and compares the data with the data of the storage module, if obvious abnormal changes or suspected changes of height such as blood pressure or pulse of a user are found, the activation module sends a signal to the detection module in the activation main control module, and the detection module starts to work.

The operation of the detection module is completed by the display module and the touch screen 1, including but not limited to: (1) the picture dragging slider is dragged according to the requirement, the picture is completely spliced at the designated position, and the wrist and finger fine motions, the control force and the speed of a patient are different from those of a normal state, so that whether the abnormality occurs in the aspects of the finger and wrist fine motions, the control force and the like can be determined. (2) Looking at the picture, clicking on the object name, finds the same object or different objects in the picture. For example, the traffic lights and the like are found in a plurality of pictures to judge the visual, mental, memory and fine finger movement of the user, and the judgment is compared with the initialized data in the storage module. (3) The choice of questions can also be answered by listening to speech, reflecting changes in their hearing, linguistic expression, intelligence and memory capabilities. For example, please speak the device's name and family's name, answer questions in speech, etc. If the user is speaking his or her name, it appears that the user is not well versed in his or her mouth, or even if it could be spoken, the degree of deviation in this data compared to the pronunciation data stored in the original memory module is communicated to the risk assessment module, and if stuttering or other difficult-to-pronounce condition is present, a signal is sent to the display module. (4) And taking a picture of the big head of the face by self, and taking a picture according to the same operation as the step set in the initial state. In the aspect of lifting the device, a user in the illness period can become unstable or lose the original limb movement function to cause that the operation cannot be finished, and at the moment, data is fed back to the communication module 6 through the main control module; in other cases, although the user can complete the operation of self-photographing the face, the data analysis module compares the face data with the face data in the storage unit, and when the muscles of one side of the user are paralyzed or the comparison of the facial data of smile cannot be completed correctly according to requirements, which causes the data analysis module to determine that the self-photographing data is not matched with the data in the storage module after comparison, the data analysis module sends an 'abnormal' or 'highly suspected' signal to the communication module 6 according to the displayed severity of the analyzed data.

Example two

Automatic activation mode for user

Under the condition that the user feels discomfort, the active operation device can generate the working mode similar to the activation module by pressing the detection starting button 9, and the main control module 11 activates the detection module to complete the detection of a series of operations as in the previous embodiment. The detected data is sent to a data analysis module for analysis as in the previous embodiment, and the risk is evaluated according to the analyzed data to determine whether to activate the communication alarm module 6. Considering that the condition of the patient may be aggravated to cause the user to be unable to complete the above operations, in any case that the user does not continue to operate any more in the operation, the main control module 11 sends a signal to the display module and the touch screen 1 to prompt the user whether to continue to operate. If the user selects "yes", the device further operates. If the user selects "no," the device returns to the inactive state. If the user does not operate the device for a certain time (for example, 10 to 15 seconds), a signal is sent to the communication alarm module.

EXAMPLE III

User active excitation communication alarm module

The user obviously feels uncomfortable or falls down, and under the condition that the user needs to be treated by emergency treatment and the like, the display module and the touch screen 1 of the device are pressed for a long time, the pressure deformation belt 2 below the display module and the touch screen is made of aluminum alloy materials, and the pressure of the pressure deformation can be transmitted to the pressure sensor 3. At this moment, the pressure sensor 3 can display yes or no on the display module and the touch screen 1 through the main control module 11, and meanwhile, the equipment enables the loudspeaker 4 to emit sharp prompt tone through the original setting of the audio card to remind a user of operation. If the user selects "no" then it is determined to be a malfunction or error signal. If no operation is performed or the trigger activation module is not released for a certain time, the signal is not sent to the detection module or the data analysis module, but is directly sent to the communication alarm module to carry out external communication, including dialing the telephone of the emergency contact person or triggering the emergency operation of the emergency call 120 or 999 and the like. While sharing GPS location to emergency contacts.

The technical content and the provided functions of the equipment do not relate to highly professional medical instruments, but the purpose of early finding the stroke outside a household or medical place is achieved, the equipment does not need the participation of professional doctors or medical workers, and the equipment can be used for conveniently contacting the family or conveniently seeking medical advice in time when the stroke occurs to the family.

Claims

1. The utility model provides an early equipment of finding of cerebral apoplexy, includes host system 11, physiological data module 12, walking habit module 14, detects start button 9, display module and touch-sensitive screen 1, camera 15, communication module 6, and wherein host system 11 includes storage module, activation module, detection module and data analysis module, and shell 10 can insert the SIM card via SIM card socket 8, realizes external communication, and detection module accessible is triggered by following two kinds of modes: the user actively presses the detection start button 9 to start detection, or the data fed back to the activation module by the walking habit module 14 and the physiological data module 12 are compared with the corresponding data in the storage module for operation, and the activation module is activated to start detection when the data are displayed to be abnormal or highly suspected.

2. The device for early detection of stroke according to claim 1, wherein a pressure deformation band 2 and a pressure sensor 3 are further arranged below the display module and the touch screen 1, when the display module and the touch screen 1 are integrally pressed, the pressure sensed by the pressure deformation band below the display module is transmitted to the pressure sensor 3, at this time, the display module is triggered to prompt, and a prompt tone is accompanied to prompt whether a user has misoperation, and after a certain period of time, if no response exists and the pressure is not released, the communication module 6 is triggered to contact an emergency contact or a medical institution prestored therein.

3. The early stroke discovery apparatus as claimed in claim 1, wherein said detection module further collects detection data of a user in a non-diseased state during initial application and stores the data in said storage module.

4. The early stroke finding device as claimed in claim 1, wherein the physiological data module 12 collects facial data of the user from multiple angles through the camera 15 in addition to detecting and collecting blood pressure pulse data.

5. The early stroke finding device as claimed in claim 4, wherein the physiological data module 12 collects facial data of the user from multiple angles through the camera 15, the facial data including facial multi-point data of normal expression and facial multi-point data of smile in the initial state of the user, and the data are stored in the storage module.

6. The early stroke discovery device of claim 5, wherein the memory module stores the physiological data module 12, the walking habit module 14 and the initial data of the detection module, the initial data including the physiological data of the non-diseased condition collected within 24 hours of first use, the walking habit data and the data of the detection process in the detection module, and the activation module collects the data of the physiological data module 12, the walking habit module 14 and the detection module in real time and compares the data with the initial data stored in the memory module.

7. The stroke early discovery apparatus of claim 6, wherein the initialization data in the physiological data module 12 includes normal life data collected during 24 hours of initial use by the user, both recumbent and non-recumbent.

8. The stroke early-finding device according to claim 1, wherein the detection module can ask the user to complete the detection of the finger fine movement, the basic language expression ability and the balance force according to the detection items through a voice prompt mode.

9. The stroke early-finding apparatus according to claim 1, wherein the data analysis module compares data of each test item in the test module with initial data stored in the storage module.

10. The stroke early discovery apparatus according to claim 9, wherein the data analysis module compares the data from the detection module with the data from the storage module to obtain an abnormal result, and sends a signal to the communication module 6 to trigger external communication.

11. An early stroke discovery device according to any one of claims 1-10, wherein said early stroke discovery device is adapted to be worn on the wrist to form a bracelet.