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A method and system for motor rehabilitation

A motion and motion imagery technology, applied in the field of motion imagery detection module calibration, which can solve problems such as difficulty and complex modeling of idle state data.

Active Publication Date: 2013-12-04
AGENCY FOR SCI TECH & RES +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This approach was chosen because modeling idle state data is complex and difficult
One problem with the unimodal approach is that the BCI system may receive false positive detections when the subject is instead in an idle state, e.g. not engaging in any mind control control data

Method used

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  • A method and system for motor rehabilitation
  • A method and system for motor rehabilitation
  • A method and system for motor rehabilitation

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Embodiment Construction

[0054] Portions of the following description refer either explicitly or implicitly to algorithms and functions or symbolic representations of operations on data within a computer memory. These algorithmic descriptions and functional or symbolic representations are the means used by those skilled in the data processing arts to most effectively convey the substance of their work to others skilled in the art. An algorithm is generally conceived here as a methodical series of steps leading to a desired result. The steps are those requiring physical manipulation of physical quantities such as electrical, magnetic or optical signals capable of being stored, transferred, combined, compared and otherwise manipulated.

[0055] Unless otherwise specified, as will be apparent below, terms such as "scan," "calculate," "determine," "replace," "generate," "initial," "output," and the like used throughout this specification should be understood to be Discussion, involving the actions and pr...

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Abstract

A method of calibrating a motor imagery detection module and a system for motor rehabilitation are provided. The method comprises acquiring Electroencephalography (EEG) data from a subject; selecting classification features from the EEG data; wherein the feature selection comprises modelling an idle state ? n of the subject by M sub-classes ?j, j = 1,...,M.

Description

technical field [0001] The present invention relates generally to methods of calibrating motor imagery detection modules, but also to systems for motor rehabilitation. Background technique [0002] Brain Computer Interface (BCI) serves as a direct communication path between the human brain and external devices. In addition, the BCI system may also provide an important testbed for the development of mathematical methods and multi-channel signal processing to derive command signals from brain activity. Because it directly uses the electronic signature of brain activity in response to external stimuli, it is particularly useful for paralyzed subjects who suffer from severe neuromuscular impairment and are therefore unable to communicate via normal neuromuscular pathways. Electroencephalography (EEG) is a widely used technique that outperforms many existing techniques for measuring brain signals due to its advantages, such as its noninvasive nature and low cost. [0003] With ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/04A61B5/048A61B5/0482G06F3/01A61B5/374A61B5/375
CPCA61B5/7267A61B5/0482A61B5/048A61B5/04017A61B5/4205A61N1/36003A61B5/04014G16H50/70A61B5/316A61B5/375A61B5/374
Inventor 洪介卿关存太蔡瑞玉王传初陈福源潘国顺张海宏陈政扬
Owner AGENCY FOR SCI TECH & RES
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