Unlock instant, AI-driven research and patent intelligence for your innovation.

Brain-computer interface system and method

A brain-computer interface and algorithm technology, applied in the field of EEG-based brain-computer interface, can solve problems such as unsuitable cost and space rehabilitation

Active Publication Date: 2013-03-20
AGENCY FOR SCI TECH & RES
View PDF4 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Furthermore, the use of robots cannot be adapted for cost and space-conscious home-based rehabilitation
Additionally, the primary form of feedback to patients is visual feedback via screens, which may be insufficient

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
  • Brain-computer interface system and method
  • Brain-computer interface system and method
  • Brain-computer interface system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] 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.

[0042] Unless otherwise specified, as will be apparent below, terms such as "scan," "calculate," "determine," "replace," "generate," "initialize," "output," and the like used throughout this specification should be understood to be Discussion, involving the actions and...

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

A system and method for brain-computer interface (BCI) based interaction. The method comprising the steps of: acquiring a person's EEG signal; processing the EEG signal to determine a motor imagery of the person; detecting a movement of the person using a detection device; and providing feedback to the person based on the motor imagery, the movement, or both; wherein providing the feedback comprises activating a stimulation element of the detection device for providing a stimulus to the person. The system comprising: means for acquiring a person's EEG signal; means for processing the EEG signal to determine a motor imagery of the person; means for detecting a movement of the person using a detection device; and means for providing feedback to the person based on the motor imagery, the movement, or both; wherein the means for providing the feedback comprises a stimulation element of the detection device for providing a stimulus to the person.

Description

technical field [0001] The present invention relates to noninvasive EEG-based brain-computer interfaces. 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 patients 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] In addition to rehabilitation, BCI applications include, but are not...

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): A61B5/04A61B5/048A61B5/0482G06F3/01A61B5/374A61B5/375
CPCA61B5/742A61B5/7285A61B5/048G06F3/015G06F3/016A61B5/0482A61B5/04014A61B5/04017A61B5/316A61B5/375A61B5/374
Inventor 洪介卿关存太陈政扬张海宏潘国顺王传初
Owner AGENCY FOR SCI TECH & RES