Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Double-feedback double-auxiliary hand function rehabilitation training system

A rehabilitation training and dual feedback technology, applied in sports accessories, artificial respiration, gymnastics equipment, etc., can solve the problems of not being able to feedback the rehabilitation effect in real time, and not being able to adjust the rehabilitation plan at any time.

Inactive Publication Date: 2018-01-30
BEIJING UNION UNIVERSITY
View PDF6 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the device in this application can realize hand function rehabilitation through a variety of games, it cannot provide real-time feedback on the rehabilitation effect, cannot adjust the rehabilitation plan at any time, and does not visualize the reconstruction of the connection between the patient's brain and muscles. , allowing patients to gain confidence through the recovery of their own functions

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Double-feedback double-auxiliary hand function rehabilitation training system
  • Double-feedback double-auxiliary hand function rehabilitation training system
  • Double-feedback double-auxiliary hand function rehabilitation training system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0064] Such as figure 1 As shown, the present invention provides a hand rehabilitation training system that adopts both internal and external feedback, flexible bionic muscles and functional electrical stimulation. The system integrates mechanical electronics, detection and processing, and multi-information fusion technologies. Its overall structure includes 8 modules: (1) Human bioelectricity collection device 100; (2) Human body posture position collection device 110; (3) Brain neural pathway reconstruction visualization device 120; (4) Multi-sensor hand movement intention recognition device 130; ( 5) Multimodal sliding mode adaptive rehabilitation training control center 140; (6) Electrode layout and stimulation device 150 for functional electrical stimulation; (7) Flexible bionic muscle assisting device 160; (8) Staged hand activity training device 170 (From simple hand movements such as grasping training to fine movements such as percussion and pinching with the muscle gr...

Embodiment 2

[0083] Such as figure 2As shown, the patient's actual cranial nerve state 220 is compared with the normal cranial nerve state, and the deviation comparison result 200 is transmitted to the rehabilitation training center for the rehabilitation training center to provide training programs. After the patient implements the training program provided by the rehabilitation training center, the brain After nerve reconstruction visualization 210, the brain nerves are reconstructed, the reconstruction result 220 is compared with the normal brain nerve state, and a rehabilitation plan is reselected and implemented according to the degree of recovery until recovery. During this process, patients can understand their brain nerve recovery status after training through the brain nerve pathway visualization device, and stimulate their confidence in returning to normal through the internal feedback established on their own spiritual level.

Embodiment 3

[0085] Such as image 3 As shown, the function 320 displayed by the patient's actual hand EMG signal is compared with the normal hand function, and the deviation comparison result 300 is passed to the rehabilitation training center for the rehabilitation training center to provide training programs, and the patient implements the rehabilitation training center to provide After the hand function is improved 310 after the training program, the hand function EMG signal is restored, and the recovery result 320 is compared with the normal cranial nerve state, and the rehabilitation plan is re-selected and implemented according to the degree of recovery until recovery. During this process, patients can understand their own state after training through the gradual recovery of hand functions, and stimulate confidence in returning to normal through the external feedback established at the level of their own muscles.

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a double-feedback double-auxiliary hand function rehabilitation training system, which comprises an acquisition device, a multi-modal sliding mode self-adaptive rehabilitation training control center, a staged hand activity training device, at least one of a multi-sensor hand movement intention identification device and a brain neural pathway reconstruction visualization device, and at least one of a functional electrical stimulation (FES) electrode arrangement and stimulation device and a flexible bionic muscle assisting device. The double-feedback double-auxiliary handfunction rehabilitation training system provided by the invention is based on the brain science, the sensing technology, the multi-information fusion technology, the intelligent control, the robot bionic technology and the medical electrical stimulation technology, incorporates the subjective intention that the patient wants to recover into a rehabilitation training strategy, and adopts the internal-external double-feedback double-auxiliary hand rehabilitation training system. The double-feedback double-auxiliary hand function rehabilitation training system demonstrates the brain recovery, nerve reconstruction and muscle recovery of the patient in a visible manner.

Description

technical field [0001] The invention relates to the technical field of medical equipment technology, in particular to a double-feedback and double-assist hand function rehabilitation training system. Background technique [0002] Stroke is a cerebrovascular disease with high mortality and disability, and most patients will lose motor function to varying degrees. Modern rehabilitation medicine studies believe that rehabilitation training has a significant role in promoting the recovery of motor function of patients. Among them, the rehabilitation of hand function is fine rehabilitation. The joints and nerve endings of the hand are relatively complicated, and most of the muscles are small muscles. Traditional therapists' manual rehabilitation is time-consuming and ineffective. Therefore, hand function rehabilitation training for stroke patients is a major problem to be solved urgently. At present, most of the papers, patents and products related to the recovery of motor func...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): A61N1/36A63B23/16A63B71/06
Inventor 王淑芳刘伟刘长青张东波
Owner BEIJING UNION UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com