Intelligent artificial limb movement system based on idiodynamics and control methods thereof

An intelligent prosthesis and mind control technology, applied in the field of control, can solve the problems of single recognition mode and low universality of the prosthetic system, and achieve the effects of good application prospects, reduced workload, and high scientific research value.

Active Publication Date: 2016-09-21
JILIN UNIV
View PDF11 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the problem of single identification mode and low universality of the existing prosthetic system existing in the prior art, and to realize the wireless control of the intelligent prosthesis by the EEG signal by adopting the dual-mode control idea, and provide a An intelligent prosthetic movement system based on mind control, and a complete control method is given

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
  • Intelligent artificial limb movement system based on idiodynamics and control methods thereof
  • Intelligent artificial limb movement system based on idiodynamics and control methods thereof
  • Intelligent artificial limb movement system based on idiodynamics and control methods thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] The present invention is described in detail below in conjunction with accompanying drawing:

[0050] see figure 1, a mind-controlled intelligent prosthetic movement system, including an EEG acquisition module, an EEG analysis module, a drive control module, and a joint angle feedback module.

[0051] EEG acquisition module: collect the EEG signals of the cerebral cortex and amplify them and convert them into analog-to-digital conversion. The signals are transmitted from the Bluetooth module to the EEG analysis module;

[0052] EEG analysis module: perform feature extraction and pattern recognition on incoming EEG signals, and transfer the pattern recognition results to the drive control module;

[0053] Drive control module: According to the input pattern recognition result, the angular position information of the corresponding pattern in the memory is retrieved, and combined with the angle information fed back by the angle sensor to form a control instruction, so as ...

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 belongs to the control field and relates to an intelligent artificial limb movement system based on idiodynamics and control methods thereof. The problems of single recognition mode and low universality of an existing artificial limb system in the prior art are solved. The system comprises an electroencephalogram acquisition module, an electroencephalogram analysis module, a drive control module and a joint angle feedback module. The control methods include the control method in a training mode and the control method in a using mode. The training mode and the using mode are switched through a key. In the training mode, other electroencephalograms are selectively entered as required except a quiescent state, and the quiescent state is a necessary enter item to ensure accurate control of the system. When a user completes electroencephalogram entering in the training mode, a system state is switched to the using mode, and the user can send corresponding electroencephalograms to control the arms to execute corresponding actions.

Description

technical field [0001] The invention belongs to the field of control, and relates to an intelligent artificial limb movement system based on idea control and a control method thereof. Background technique [0002] In today's society, millions of people are forced to amputate due to diseases, industrial injuries, wars, traffic accidents and some accidental injuries. With the acceleration of modernization, this number is growing at an alarming rate. According to the survey, there are about 60 million physically disabled people in my country, and there is little hope in the near future to completely rely on foreign products to meet the needs of domestic disabled people. In the second half of the 20th century, prosthetic technology has achieved rapid development. The traditional prosthesis control method is mainly to implant electrodes into the contact part of the patient's body and the prosthesis, and use the myoelectric signals collected by the electrodes to control the move...

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): A61F2/72
CPCA61F2/72A61F2002/701
Inventor 陈万忠李明阳张雨烟张涛杨默涵
Owner JILIN UNIV
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap