Rehabilitation glove system based on electroencephalogram signal control

A technology of EEG signals and gloves, which is applied in the field of artificial intelligence medicine, can solve the problems of shortage of rehabilitation specialists in hospitals and cost a lot of money, and achieve the effect of improving the efficiency of rehabilitation training, increasing resource investment, and improving capabilities

Pending Publication Date: 2022-02-25
GUILIN UNIV OF AEROSPACE TECH
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, such people mainly carry out rehabilitation training through manual intervention in the hospital, which requires a lot of money. At the same time, there is still a shortage of rehabilitation specialists in the current hospital

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
  • Rehabilitation glove system based on electroencephalogram signal control
  • Rehabilitation glove system based on electroencephalogram signal control
  • Rehabilitation glove system based on electroencephalogram signal control

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] In order to make the objects and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0030] Such as figure 1 Shown, the glove rehabilitation system controlled by EEG signal of the present invention comprises:

[0031] EEG signal collection device 1, used to collect EEG signals, realize the amplification of EEG information, and transmit the amplified EEG signals to the PC terminal;

[0032] PC terminal, used to record EEG signals through SCAN software, call DBB-Apollo model to realize the extraction of spatial domain features and depth features of EEG signals, and call sparse Bayesian algorithm to realize spatial domain features and depth of EEG signals Classify the features, obtain the user's movement intention, generate the c...

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 relates to the technical field of artificial intelligence medicine, in particular to a glove rehabilitation system controlled by electroencephalogram signals. The glove rehabilitation system comprises: an electroencephalogram signal acquisition device, which is used for acquiring electroencephalogram signals, realizing amplification of electroencephalogram information and transmitting the amplified electroencephalogram signals to a PC (Personal Computer) terminal; and the PC terminal, which is used for recording the electroencephalogram signals, performing filtering, feature extraction and classification processing on the electroencephalogram signals, acquiring the motion intention of a user, generating control instruction signals and transmitting the control instruction signals to a control chip through a communication module. Thus, an external glove provides active and passive mode integrated rehabilitation training for the user. According to the invention, an electroencephalogram signal collector is used for collecting the bio-electricity signal of the brain movement area of a patient, the movement intention of the patient is identified by using an algorithm, an active training mode is innovatively provided, the subjective initiative of the patient is fully exerted, and thus, rehabilitation training efficiency is greatly improved.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence medicine, in particular to a rehabilitation glove system controlled based on electroencephalogram signals. Background technique [0002] There are a large number of people in the society who suffer from upper limb motor neural circuit damage and upper limb movement disorders due to stroke, frostbite and other diseases or accidents. Such people need long-term upper limb rehabilitation training to avoid atrophy of upper limb muscles and affect upper limb motor function. [0003] At present, such people mainly carry out rehabilitation training through manual intervention in the hospital, which requires a lot of money. At the same time, there is still a shortage of rehabilitation specialists in the current hospital. Contents of the invention [0004] In order to solve the above problems, the present invention provides a rehabilitation glove system based on EEG signal control, which ...

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): A61H1/02
CPCA61H1/0285A61H2201/1638A61H2201/165A61H2201/1207A61H2230/105
Inventor 冯宝侍江峰李铭心李运德蒋成亮陈业航刘昱何婧周皓阳张绍荣梁国富胡庆辉
Owner GUILIN UNIV OF AEROSPACE TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products