CN110675934A - System for performing remote rehabilitation training on limb dyskinesia patient - Google Patents
System for performing remote rehabilitation training on limb dyskinesia patient Download PDFInfo
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- 238000012549 training Methods 0.000 title claims abstract description 94
- 208000012661 Dyskinesia Diseases 0.000 title claims abstract description 14
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- 208000006011 Stroke Diseases 0.000 description 18
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- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
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- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
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- 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
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Abstract
The invention discloses a system for remote rehabilitation training of a limb dyskinesia person, which comprises a myoelectric sensor, an inertial sensor, an intelligent terminal application system and a rehabilitation training system server, wherein the myoelectric sensor and the inertial sensor are connected with the intelligent terminal application system, and the intelligent terminal is communicated with the rehabilitation training system server; the myoelectric sensor is used for periodically evaluating the rehabilitation condition of the patient to obtain data representing the muscle condition; the inertial sensor is used for acquiring motion data of the limb in a three-dimensional space; the intelligent terminal application system is installed on the intelligent terminal equipment; and the rehabilitation training system server is used for analyzing, managing and storing various data uploaded by the intelligent terminal application system, processing the data acquired by the myoelectric sensor and the inertial sensor to obtain muscle condition data and motion trail data of the patient, evaluating the rehabilitation motion completion degree of the patient and giving a correction suggestion. The rehabilitation training sport is not limited by the field and time.
Description
The technical field is as follows:
the invention belongs to the technical field of rehabilitation instruments, and particularly relates to a system for performing remote rehabilitation training on a limb movement disorder patient, which is particularly suitable for stroke limb movement disorder patients.
Background art:
stroke (Cerebral Stroke), also known as Stroke and cerebrovascular accident, is a disease syndrome mainly manifested by hemiplegia, accompanied by facial distortion, language disorder, hemiplegia or coma, which is sudden coma, but violent in appearance and severe in nature, and affects normal cognitive, physical and speech functions of people. Stroke is a common disease of the elderly, but nowadays, stroke also becomes a major disease of many young people. The main symptoms after stroke are mainly hemiplegia. Hemiplegia belongs to common sequelae after cerebral apoplexy, and most patients have limb dysfunction in different degrees, which seriously affects the daily life ability and the life quality of the patients. According to the report of the world health organization, 80% of patients with cerebral apoplexy have limb dysfunction in different degrees, wherein, more than 60% of patients still have upper limb dysfunction after entering the chronic period, and the upper limb function of people accounts for 60% of the whole body function, so the intact upper limb function plays an important role in the work and life of people. Therefore, the rehabilitation of the upper limb function is particularly important for the stroke patient. Early, reasonable rehabilitation and functional exercise help improving cerebral apoplexy hemiplegia patient's affected side hand swelling to can alleviate discomfort such as local pain, improve metacarpophalangeal joint activity degree, and increase the activity degree of whole upper limbs, be favorable to the rehabilitation of patient's later stage, improve patient's quality of life. However, because the national economy and the residential income of China are not high at present, and medical facilities are limited, most of acute stroke patients are discharged to home after the treatment of the neurology disease is stable, and can not be transferred to a rehabilitation ward or a rehabilitation center for treatment. And the existing stroke treatment method is complex, high in cost, unobvious in rehabilitation effect, large in dependence on doctors, poor in patient compliance and limited. Thus. Further research is carried out on the rehabilitation of the upper limb function of the patient with the stroke.
The invention content is as follows:
the invention aims to overcome the defects of the prior art, seek a system for the remote rehabilitation training of the limb dyskinesia patient, solve the problem that the existing limb dyskinesia patient cannot be effectively treated in time due to the limitation of rehabilitation treatment resources and cost, and simultaneously solve the problems that the existing rehabilitation treatment method of each doctor is single, the treatment effects of different patients are difficult to count, the data and the effect data of different treatment schemes are difficult to transversely compare, and the treatment scheme cannot be optimized.
In order to solve the problems, the system for the remote rehabilitation training of the limb dyskinesia patient comprises a myoelectric sensor, an inertial sensor, an intelligent terminal application system and a rehabilitation training system server, wherein the myoelectric sensor and the inertial sensor are both connected with the intelligent terminal application system, and the intelligent terminal is communicated with the rehabilitation training system server through WEB service and an HTTP (hyper text transport protocol); the myoelectric sensor is used for periodically evaluating the rehabilitation condition of a patient, and evaluating the muscle condition of the patient by detecting action potentials during muscle movement to obtain data representing the muscle condition; the inertial sensor is used for acquiring motion data of the limb in a three-dimensional space; the intelligent terminal application system is arranged on the intelligent terminal equipment, and can realize user registration, login and related information input, doctor selection, formulation of a rehabilitation exercise scheme, acquisition of a rehabilitation training scheme, recording of rehabilitation exercise data, tracing of the completion condition of rehabilitation exercise, tracing of the recovery condition, acquisition of related introductions of diseases, acquisition of related information of products, realization of multiple functions of communication among patients, doctors, patients and doctors and the like; and the rehabilitation training system server is used for analyzing, managing and storing various data uploaded by the intelligent terminal application system, processing the data acquired by the myoelectric sensor and the inertial sensor to obtain muscle condition data and motion trail data of the patient, evaluating the rehabilitation motion completion degree of the patient and giving a correction suggestion.
Furthermore, the intelligent terminal application system comprises a related information unit, a user management unit, a community center, a doctor selection unit, a rehabilitation exercise training scheme making unit, a rehabilitation exercise training scheme unit, a rehabilitation exercise recording unit, a rehabilitation exercise tracing unit, a rehabilitation condition tracing unit and a rehabilitation condition analysis unit; the related information unit, the user management unit, the community center, the doctor selection unit, the rehabilitation exercise training scheme making unit, the rehabilitation exercise training scheme unit, the rehabilitation exercise recording unit, the rehabilitation exercise tracing unit, the rehabilitation condition tracing unit and the rehabilitation condition analysis unit are all connected with the rehabilitation training system server, and data transmission is achieved.
The related information unit is used for the patient or the doctor to understand and use the rehabilitation training system and to understand more knowledge about the stroke diseases.
The user management unit is divided into a patient individual management unit and a doctor individual management unit; the patient personal management unit is used for managing personal information of a patient, acquiring a personal account through registration, newly building or modifying the personal information after logging in, sending the information to the rehabilitation training system server system for storage, entering other units except the related information unit in the intelligent terminal application system after logging in the personal account, carrying out related operation, acquiring a rehabilitation exercise scheme, rehabilitation exercise data and rehabilitation analysis data, and entering a community center for communication.
The personal management module of the doctor is used for managing the personal information of the doctor, the doctor acquires a personal account through registration, then creates or modifies the personal information, and the doctor can enter other units except the related information unit in the intelligent terminal application system after logging in the personal account and carries out related operations.
Community centers are used for inter-patient, inter-physician, and inter-physician to patient communication.
The physician selection unit obtains relevant information of the physician from the rehabilitation training system server.
And the patient acquires the rehabilitation exercise training scheme from the rehabilitation training system server.
And the rehabilitation exercise recording unit records the type of rehabilitation exercise performed by the patient and rehabilitation exercise condition data such as the starting time of the rehabilitation exercise based on the selection of the patient, and sends the recorded data to the rehabilitation training system server for storage.
The rehabilitation exercise tracing unit is used for enabling a user to obtain rehabilitation exercise data of a certain patient in a certain period of time from the rehabilitation training system server, achieving traceability of the rehabilitation exercise data, presenting rehabilitation exercise completion conditions in the period of time in the form of images or tables and the like, and supervising and prompting the patient to carry out rehabilitation exercise actively, wherein the rehabilitation exercise data comprise rehabilitation exercise condition data and rehabilitation exercise tracks.
The rehabilitation situation tracing unit is used for enabling a user to obtain analysis data of the rehabilitation situation of a patient in a certain period of time from the rehabilitation training system server, tracing the rehabilitation situation of the patient, presenting rehabilitation situation change data in an image or table mode and enabling the user to know the rehabilitation situation better.
And a rehabilitation condition analysis unit, wherein the rehabilitation condition analysis result is given by the doctor based on the muscle condition analysis result and the motion trail analysis result, and is sent to the rehabilitation training system server 1 for storage.
And a rehabilitation exercise scheme making unit, wherein the doctor makes a rehabilitation exercise scheme corresponding to the patient one by one based on the muscle condition analysis result or the rehabilitation condition analysis result and the rehabilitation exercise condition.
The rehabilitation training system server comprises a related information management system, a user management system, a treatment scheme analysis management system and a database, wherein the related information management system, the user management system and the treatment scheme analysis management system are respectively connected with the database, and the database is used for storing the acquired related information; the user management system is used for classifying the data uploaded by the intelligent terminal application system and establishing a mapping relation between the data; the treatment scheme analysis and management system comprises a muscle condition analysis unit, a rehabilitation motion track analysis unit, a rehabilitation motion analysis and evaluation unit and a treatment scheme optimization unit; the muscle condition analysis unit analyzes the electric signal data obtained by the electromyography sensor to obtain muscle condition data; the rehabilitation motion track analysis unit constructs a rehabilitation motion track based on the limb motion data acquired by the inertial sensor; the rehabilitation motion analysis and evaluation unit is used for evaluating the rehabilitation motion completion degree of the patient based on the rehabilitation motion data, giving correction suggestions and combining the rehabilitation motion completion degree into a rehabilitation motion analysis result, wherein the rehabilitation motion completion degree comprises the comparison condition of a rehabilitation motion track and a standard motion track and the execution condition of the rehabilitation motion; the treatment scheme optimization unit compares treatment schemes and treatment results of similar symptoms based on treatment data of different patients stored in the database to obtain an optimal treatment scheme, and presents the treatment scheme in the related information unit; the related information management system is used for establishing and managing related information of the product; the database is used for storing various data uploaded by the intelligent terminal application system and data obtained by analysis of the rehabilitation training system server.
Specifically, the myoelectric sensor is connected with an intelligent terminal through a wiff interface, a Bluetooth interface or a USB interface, and the intelligent terminal acquires data detected by the myoelectric sensor and sends the data to a rehabilitation training system server through WEB service and an HTTP protocol in real time.
The patient intelligent terminal application system comprises a relevant information unit, a patient personal management unit, a community center, a doctor selection unit, a rehabilitation exercise training scheme unit, a rehabilitation exercise tracing unit, a rehabilitation condition tracing unit and a rehabilitation exercise recording unit, the patient intelligent terminal application system is installed on an existing smart phone, an existing inertial sensor on the smart phone is directly adopted by the inertial sensor, the patient intelligent terminal application system sends data acquired by the inertial sensor to a rehabilitation training system server through WEB service and an HTTP protocol, and the data are processed by the rehabilitation training system server.
The system is not limited by time and space, and is very suitable for patients to do rehabilitation exercises at home. The method is easy to popularize in primary hospitals, communities and families, and has low cost and low user expenditure. The rehabilitation data of the patient can be collected during treatment, the data accuracy is high, a standardized database of upper limb functions after stroke is established to carry out next research and treatment, a doctor is assisted to make a better training plan, the rehabilitation effect is evaluated by using the myoelectric sensor, the convenience is brought to the user greatly, the current situation of shortage of the doctor is relieved, and the coverage rate of the doctor is improved.
Compared with the prior art, the invention has the following advantages: (1) the patient only needs to purchase the corresponding myoelectric sensor and install the corresponding software on the mobile phone to complete the rehabilitation therapy without being limited by the site, and does not need to go to a special rehabilitation institution to carry out the rehabilitation therapy, so that the treatment cost and the time cost are reduced, the rehabilitation exercise can be carried out anytime and anywhere, and the treatment is convenient; (2) the whole system can realize the rehabilitation exercise of the patient and the tracing of the rehabilitation treatment, and is convenient for the patient and a doctor to better know the treatment condition; (3) through a large number of treatment cases stored in the database, longitudinal and transverse comparison can be carried out, the rehabilitation treatment scheme is continuously optimized, and the rehabilitation time of the patient is shortened.
Description of the drawings:
fig. 1 is a schematic diagram of the system structure principle of the remote rehabilitation training of the limb dyskinesia patient related to the invention.
The specific implementation mode is as follows:
the invention is further illustrated with reference to the following specific embodiments and the accompanying drawings.
Examples
As shown in fig. 1, the system for remote rehabilitation training of a limb dyskinesia patient according to the present embodiment includes a myoelectric sensor 11, an inertial sensor 12, an intelligent terminal application system 2 and a rehabilitation training system server 1, where the myoelectric sensor 11 and the inertial sensor 12 are both connected to the intelligent terminal application system 2, and the intelligent terminal communicates (exchanges data) with the rehabilitation training system server 1 through a WEB service and an HTTP protocol; the electromyographic sensor 11 is an existing electromyographic sensor 11, and is used for periodically evaluating the rehabilitation condition of a patient, and evaluating the muscle condition of the patient by detecting action potential (generally, the potential is output in a form of digital signals) during muscle movement to obtain data representing the muscle condition; the inertial sensor 12 is used for acquiring motion data of a limb (particularly an upper limb) in a three-dimensional space; the intelligent terminal application system 2 is installed on intelligent terminal equipment, such as a computer, a smart phone, an Ipad and the like, and can realize a plurality of functions of user registration, login and related information input, physician selection, formulation of a rehabilitation exercise scheme, acquisition of a rehabilitation training scheme, recording of rehabilitation exercise data, tracing of rehabilitation exercise completion conditions, tracing of recovery conditions, acquisition of disease related introduction, acquisition of product related information, realization of communication among patients, physicians, patients and physicians and the like; the rehabilitation training system server 1 is used for analyzing, managing and storing various data uploaded by the intelligent terminal application system 2, processing data acquired by the myoelectric sensor 11 and the inertial sensor 12 to obtain muscle condition data and motion trajectory data of the patient, evaluating the rehabilitation motion completion degree of the patient (for example, evaluating in a scoring mode) and giving a correction suggestion.
Further, the intelligent terminal application system 2 includes a related information unit 13, a user management unit 21, a community center 22, a physician selection unit 15, a rehabilitation exercise training scheme making unit 14, a rehabilitation exercise training scheme unit 16, a rehabilitation exercise recording unit 17, a rehabilitation exercise tracing unit 18, a rehabilitation situation tracing unit 19 and a rehabilitation situation analysis unit 20; the related information unit 13, the user management unit 21, the community center 22, the physician selection unit 15, the rehabilitation exercise training scheme making unit 14, the rehabilitation exercise training scheme unit 16, the rehabilitation exercise recording unit 17, the rehabilitation exercise tracing unit 18, the rehabilitation situation tracing unit 19 and the rehabilitation situation analysis unit 20 are all connected with the rehabilitation training system server 1 through WEB services and an HTTP protocol, and data transmission is achieved.
The related information unit 13 is used for a patient or a doctor (hereinafter, referred to as a user) to know and use the rehabilitation training system (hereinafter, referred to as a product), to know more knowledge about the stroke disease, and the like, and includes product introduction, team introduction, product instruction manual (or video introduction), common problems and solutions in use, stroke disease introduction, moment of first care, life and diet advice, customer service center, and the like.
The user management unit 21 is divided into a patient individual management unit and a doctor individual management unit; the patient personal management unit is used for managing the personal information of the patient, acquiring a personal account through registration, creating or modifying the personal information after logging in, such as information related to diseases, such as name, age, sex, medical history and the like, and sending the information to the rehabilitation training system server 1 for system storage, and only after logging in the personal account, entering other units in the intelligent terminal application system 2 except the related information unit 13, and performing related operations, such as selecting a treating physician in the physician selection unit 15, acquiring a rehabilitation exercise scheme, rehabilitation exercise data and rehabilitation analysis data, and entering the community center 22 for communication.
The personal management module of the doctor is used for managing the personal information of the doctor, the doctor acquires a personal account through registration, then newly creates or modifies personal information, such as information related to diseases, such as name, age, sex, education experience, work experience, indication direction and the like, and the personal account is logged in before entering other units except the related information unit 13 in the intelligent terminal application system 2, and performs related operations, such as acquiring the related information, rehabilitation condition and rehabilitation completion degree of the patient, making a rehabilitation exercise training scheme, giving an analysis result of the rehabilitation condition, and communicating with the patient or other doctors.
The community center 22 is used for communication between patients, doctors and patients, and for protecting privacy of users, communication and interaction are mainly performed in a message form, and communication can also be performed in other forms.
The physician selection unit 15 obtains the relevant information of the physician from the rehabilitation training system server 1, and facilitates the patient to select the physician.
The rehabilitation exercise training plan unit 16 obtains the rehabilitation exercise training plan from the rehabilitation training system server 1.
And the rehabilitation exercise recording unit 17 is used for recording rehabilitation exercise conditions such as the type of rehabilitation exercise performed by the patient and the starting time of the rehabilitation exercise based on the selection of the patient and sending the recorded data to the rehabilitation training system server 1 for storage.
The rehabilitation exercise tracing unit 18 obtains rehabilitation exercise data of a patient in a certain period of time from the rehabilitation training system server 1, realizes traceability of the rehabilitation exercise data, can present rehabilitation exercise completion conditions in the period of time in the form of images or tables and the like, and supervises and urges the patient to perform rehabilitation exercise actively, wherein the rehabilitation exercise data comprises rehabilitation exercise condition data and rehabilitation exercise tracks.
The rehabilitation situation tracing unit 19 is used for enabling a user to obtain analysis data of the rehabilitation situation of the patient in a certain period of time from the rehabilitation training system server 1, tracing the rehabilitation situation of the patient, presenting rehabilitation situation change data in the form of images or tables and enabling the user to know the rehabilitation situation better.
And a rehabilitation condition analysis unit 20 for analyzing the rehabilitation condition given by the doctor based on the muscle condition analysis result and the motion trail analysis result, and sending the rehabilitation condition analysis result to the rehabilitation training system server 1 for storage.
And a rehabilitation exercise scheme making unit 14 for making a rehabilitation exercise scheme corresponding to the patient on a one-to-one basis by the doctor based on the muscle condition analysis result or the rehabilitation condition analysis result and the rehabilitation exercise condition.
The rehabilitation training system server 1 comprises a related information management system 3, a user management system 5, a treatment scheme analysis management system 6 and a database 4, wherein the related information management system 3, the user management system 5 and the treatment scheme analysis management system 6 are respectively connected with the database 4, and the database is used for storing the acquired related information; the user management system 5 is used for classifying the data uploaded by the intelligent terminal application system 2, establishing a mapping relationship between the data and the like, for example, corresponding the patient, the selected physician, the rehabilitation exercise data, the rehabilitation exercise scheme, the rehabilitation exercise execution data and the recovery condition analysis data to obtain the mapping relationship between the patient, the selected physician, the rehabilitation exercise data, the rehabilitation exercise scheme, the recovery condition analysis data and the recovery condition analysis data; the treatment scheme analysis and management system 6 comprises a muscle condition analysis unit 7, a rehabilitation motion track analysis unit 8, a rehabilitation motion analysis and evaluation unit 9 and a treatment scheme optimization unit 10; the muscle condition analysis unit 7 analyzes the electric signal data acquired by the electromyography sensor 11 to obtain muscle condition data; the rehabilitation motion trajectory analysis unit 8 constructs a rehabilitation motion trajectory based on the limb motion data acquired by the inertial sensor 12; a rehabilitation exercise analysis and evaluation unit 9 for evaluating the rehabilitation exercise completion degree (such as evaluation in a scoring mode) of the patient based on the rehabilitation exercise data, giving a correction suggestion, and combining the results into a rehabilitation exercise analysis result, wherein the rehabilitation exercise completion degree comprises the comparison condition of a rehabilitation exercise track and a standard exercise track and the execution condition of the rehabilitation exercise; the treatment plan optimizing unit 10 compares the treatment plans of similar symptoms with the treatment results based on the treatment data of different patients stored in the database to obtain an optimal treatment plan, and presents the treatment plan in the related information unit 13; the related information management system 3 is used for establishing and managing product related information, such as a newly-built product use manual (or video introduction), common product use problems and solutions, team introduction, stroke disease related knowledge, stroke disease latest treatment schemes and life and diet suggestions, a management customer service center and the like; the database 4 is used for storing various data uploaded by the intelligent terminal application system 2, such as patient personal information, doctor personal information, patient rehabilitation exercise record data, rehabilitation exercise schemes and the like, and the data obtained by the analysis of the rehabilitation exercise system server 1, such as the results of the analysis and evaluation of the rehabilitation exercise and the optimal treatment scheme of related diseases, and related information, such as product use manuals, common problems and solutions of product use, team brief introduction, knowledge related to cerebral apoplexy diseases, latest treatment schemes for cerebral apoplexy diseases, life and diet suggestions and the like.
Specifically, the myoelectric sensor 11 is connected with an intelligent terminal through a wiff interface, a bluetooth interface or a USB interface, and the intelligent terminal acquires data detected by the myoelectric sensor 11 and transmits the data to the rehabilitation training system server 1 through a WEB service and an HTTP protocol in real time.
The patient intelligent terminal application system 2 comprises a related information unit 13, a patient personal management unit 21, a community center 22, a doctor selection unit 15, a rehabilitation exercise training scheme unit 16, a rehabilitation exercise tracing unit 18, a rehabilitation situation tracing unit 19 and a rehabilitation exercise recording unit 17, the patient intelligent terminal application system 2 is installed on an existing smart phone, the existing inertial sensor 12 on the smart phone is directly adopted by the inertial sensor 12, the patient intelligent terminal application system 2 sends data acquired by the inertial sensor 12 to the rehabilitation training system server 1 through WEB service and an HTTP protocol, and the data are processed by the rehabilitation training system server 1.
Claims (7)
1. A system for remote rehabilitation training of a limb dyskinesia person is characterized by comprising a myoelectric sensor, an inertial sensor, an intelligent terminal application system and a rehabilitation training system server, wherein the myoelectric sensor and the inertial sensor are connected with the intelligent terminal application system, and the intelligent terminal is communicated with the rehabilitation training system server; the myoelectric sensor is used for periodically evaluating the rehabilitation condition of the patient to obtain data representing the muscle condition; the inertial sensor is used for acquiring motion data of the limb in a three-dimensional space; the intelligent terminal application system is arranged on the intelligent terminal equipment, and can realize user registration, login and related information input, physician selection, formulation of a rehabilitation exercise scheme, acquisition of a rehabilitation training scheme, recording of rehabilitation exercise data, tracing of the completion condition of rehabilitation exercise, tracing of the recovery condition, acquisition of related introductions of diseases, acquisition of related information of products, and realization of multiple functions of communication among patients, physicians and patients and physicians; and the rehabilitation training system server is used for analyzing, managing and storing various data uploaded by the intelligent terminal application system, processing the data acquired by the myoelectric sensor and the inertial sensor to obtain muscle condition data and motion trail data of the patient, evaluating the rehabilitation motion completion degree of the patient and giving a correction suggestion.
2. The system for the remote rehabilitation training of the limb dyskinesia patient according to claim 1, wherein the intelligent terminal application system comprises a related information unit, a user management unit, a community center, a physician selection unit, a rehabilitation exercise training scheme making unit, a rehabilitation exercise training scheme unit, a rehabilitation exercise recording unit, a rehabilitation exercise tracing unit, a rehabilitation situation tracing unit and a rehabilitation situation analysis unit; the related information unit, the user management unit, the community center, the doctor selection unit, the rehabilitation exercise training scheme making unit, the rehabilitation exercise training scheme unit, the rehabilitation exercise recording unit, the rehabilitation exercise tracing unit, the rehabilitation condition tracing unit and the rehabilitation condition analysis unit are all connected with the rehabilitation training system server, and data transmission is achieved.
3. The system for telerehabilitation training of a limb dyskinesia patient according to claim 2, wherein the related information unit is used for the patient or the physician to understand and use the system for telerehabilitation training to understand more knowledge about stroke diseases; the user management unit is divided into a patient individual management unit and a doctor individual management unit; the patient personal management unit is used for managing personal information of a patient, acquiring a personal account through registration, newly building or modifying the personal information after logging in, sending the information to the rehabilitation training system server system for storage, entering other units except the related information unit in the intelligent terminal application system after logging in the personal account, performing related operation, acquiring a rehabilitation exercise scheme, rehabilitation exercise data and rehabilitation analysis data, and entering a community center for communication; the personal management module of the doctor is used for managing the personal information of the doctor, the doctor acquires a personal account through registration, then creates or modifies the personal information, and can enter other units except the related information unit in the intelligent terminal application system after logging in the personal account and carries out related operation; the community center is used for communication among patients, doctors and patients; the physician selection unit obtains relevant information of the physician from the rehabilitation training system server.
4. The system for remote rehabilitation training of a person with limb movement disorder according to claim 3, wherein the rehabilitation movement training scheme unit is used for acquiring the rehabilitation movement training scheme from the rehabilitation training system server by the patient; the rehabilitation exercise recording unit records rehabilitation exercise types and rehabilitation exercise condition data such as rehabilitation exercise starting time and the like based on the selection of the patient and sends the recorded data to the rehabilitation training system server for storage; the rehabilitation exercise tracing unit is used for acquiring rehabilitation exercise data of a patient in a certain period of time from the rehabilitation training system server by a user, realizing traceability of the rehabilitation exercise data, presenting the completion condition of the rehabilitation exercise in the certain period of time in the form of an image or a table and the like, and supervising the patient to actively carry out rehabilitation exercise, wherein the rehabilitation exercise data comprises rehabilitation exercise condition data and a rehabilitation exercise track; the rehabilitation situation tracing unit is used for enabling a user to obtain analysis data of the rehabilitation situation of a patient in a certain period of time from the rehabilitation training system server, tracing the rehabilitation situation of the patient, presenting rehabilitation situation change data in the form of images or tables and enabling the user to know the rehabilitation situation; a rehabilitation condition analysis unit, wherein the doctor gives a rehabilitation condition analysis result based on the muscle condition analysis result and the motion trail analysis result and sends the rehabilitation condition analysis result to the rehabilitation training system server 1 for storage; and a rehabilitation exercise scheme making unit, wherein the doctor makes a rehabilitation exercise scheme corresponding to the patient one by one based on the muscle condition analysis result or the rehabilitation condition analysis result and the rehabilitation exercise condition.
5. The system for remote rehabilitation training of patients with limb dyskinesia according to claim 4, wherein the rehabilitation training system server comprises a related information management system, a user management system, a treatment scheme analysis management system and a database, the related information management system, the user management system and the treatment scheme analysis management system are respectively connected with the database, and the database is used for storing the acquired related information; the user management system is used for classifying the data uploaded by the intelligent terminal application system and establishing a mapping relation between the data; the treatment scheme analysis and management system comprises a muscle condition analysis unit, a rehabilitation motion track analysis unit, a rehabilitation motion analysis and evaluation unit and a treatment scheme optimization unit; the muscle condition analysis unit analyzes the electric signal data obtained by the electromyography sensor to obtain muscle condition data; the rehabilitation motion track analysis unit constructs a rehabilitation motion track based on the limb motion data acquired by the inertial sensor; the rehabilitation motion analysis and evaluation unit is used for evaluating the rehabilitation motion completion degree of the patient based on the rehabilitation motion data, giving correction suggestions and combining the rehabilitation motion completion degree into a rehabilitation motion analysis result, wherein the rehabilitation motion completion degree comprises the comparison condition of a rehabilitation motion track and a standard motion track and the execution condition of the rehabilitation motion; the treatment scheme optimization unit compares treatment schemes and treatment results of similar symptoms based on treatment data of different patients stored in the database to obtain an optimal treatment scheme, and presents the treatment scheme in the related information unit; the related information management system is used for establishing and managing related information of the product; the database is used for storing various data uploaded by the intelligent terminal application system and data obtained by analysis of the rehabilitation training system server.
6. The system for the remote rehabilitation training of the limb dyskinesia patient according to claim 5, wherein the myoelectric sensor is connected with the intelligent terminal through wiff, Bluetooth or USB interface, the intelligent terminal obtains the data detected by the myoelectric sensor, and the data is transmitted to the rehabilitation training system server through WEB service and HTTP protocol in real time.
7. The system for the remote rehabilitation training of the person with limb dyskinesia according to claim 6, wherein the patient intelligent terminal application system comprises a related information unit, a patient personal management unit, a community center, a physician selection unit, a rehabilitation exercise training scheme unit, a rehabilitation exercise tracing unit, a rehabilitation situation tracing unit and a rehabilitation exercise recording unit, the patient intelligent terminal application system is installed on an existing smart phone, the inertial sensor directly adopts an existing inertial sensor on the smart phone, and the patient intelligent terminal application system sends data acquired by the inertial sensor to the rehabilitation training system server through WEB service and HTTP protocol and processes the data by the rehabilitation training system server.
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Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111370092A (en) * | 2020-03-06 | 2020-07-03 | 常州市第一人民医院 | Rehabilitation gymnastics exercise system after breast cancer operation |
CN112057040A (en) * | 2020-06-12 | 2020-12-11 | 国家康复辅具研究中心 | Upper limb motor function rehabilitation evaluation method |
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104190063A (en) * | 2014-08-08 | 2014-12-10 | 杭州电子科技大学 | Posture recognition and remote training method and system based on smart phone |
CN107169302A (en) * | 2017-06-12 | 2017-09-15 | 北京工业大学 | A kind of stroke patient information gathering and management system |
CN108242261A (en) * | 2018-01-10 | 2018-07-03 | 苏州脉吉医疗技术有限公司 | Rehabilitation training planning system and method |
CN109243572A (en) * | 2018-11-08 | 2019-01-18 | 中科数字健康科学研究院(南京)有限公司 | A kind of accurate locomotion evaluation and rehabilitation training system |
CN109730653A (en) * | 2018-12-07 | 2019-05-10 | 南京医科大学 | A kind of patients with cerebral apoplexy hand Rehabilitation Evaluation System and method |
CN110215656A (en) * | 2019-06-12 | 2019-09-10 | 东北大学 | A kind of upper limb intelligent rehabilitation device and method based on the fusion of cloud side |
-
2019
- 2019-09-26 CN CN201910914886.3A patent/CN110675934A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104190063A (en) * | 2014-08-08 | 2014-12-10 | 杭州电子科技大学 | Posture recognition and remote training method and system based on smart phone |
CN107169302A (en) * | 2017-06-12 | 2017-09-15 | 北京工业大学 | A kind of stroke patient information gathering and management system |
CN108242261A (en) * | 2018-01-10 | 2018-07-03 | 苏州脉吉医疗技术有限公司 | Rehabilitation training planning system and method |
CN109243572A (en) * | 2018-11-08 | 2019-01-18 | 中科数字健康科学研究院(南京)有限公司 | A kind of accurate locomotion evaluation and rehabilitation training system |
CN109730653A (en) * | 2018-12-07 | 2019-05-10 | 南京医科大学 | A kind of patients with cerebral apoplexy hand Rehabilitation Evaluation System and method |
CN110215656A (en) * | 2019-06-12 | 2019-09-10 | 东北大学 | A kind of upper limb intelligent rehabilitation device and method based on the fusion of cloud side |
Cited By (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111370092A (en) * | 2020-03-06 | 2020-07-03 | 常州市第一人民医院 | Rehabilitation gymnastics exercise system after breast cancer operation |
CN112057040A (en) * | 2020-06-12 | 2020-12-11 | 国家康复辅具研究中心 | Upper limb motor function rehabilitation evaluation method |
CN112057040B (en) * | 2020-06-12 | 2024-04-12 | 国家康复辅具研究中心 | Upper limb movement function rehabilitation evaluation method |
CN112349377A (en) * | 2020-10-23 | 2021-02-09 | 四川大学华西医院 | System, method, medium and equipment for intelligent exercise management of osteoarthritis patients |
CN112820376A (en) * | 2021-01-30 | 2021-05-18 | 天津体育学院 | Hemiplegia rehabilitation training system based on virtual reality technology rowing motion |
CN113244067B (en) * | 2021-06-03 | 2023-06-20 | 江西应用科技学院 | Intelligent horizontal exercise assisting device and health monitoring and rehabilitation management method |
CN113244067A (en) * | 2021-06-03 | 2021-08-13 | 江西应用科技学院 | Intelligent horizontal exercise assisting device and health monitoring and rehabilitation management method |
CN113180647B (en) * | 2021-06-07 | 2024-02-02 | 郑州大学 | Behavior acquisition system and method for AI limb function rehabilitation pre-intervention |
CN113180647A (en) * | 2021-06-07 | 2021-07-30 | 郑州大学 | AI limb function rehabilitation pre-intervention behavior acquisition system and method |
CN113571153A (en) * | 2021-08-19 | 2021-10-29 | 中国科学院计算技术研究所 | Passive training sensing system for limb rehabilitation of cerebral palsy patient and client side thereof |
CN113724833A (en) * | 2021-08-27 | 2021-11-30 | 西安交通大学 | Virtual induction method and system for strengthening walking intention of lower limb dyskinesia patient |
CN113724833B (en) * | 2021-08-27 | 2023-12-15 | 西安交通大学 | Method and system for strengthening virtual induction of walking intention of lower limb dyskinesia patient |
CN113744838A (en) * | 2021-09-08 | 2021-12-03 | 杭州康晟健康管理咨询有限公司 | Parkinson's motion rehabilitation intelligent management system |
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