A state-of-consciousness detection system based on a multimodal brain-computer interface

A state of consciousness, brain-computer interface technology, applied in the field of brain-computer interface research, can solve problems such as low accuracy

Active Publication Date: 2017-12-01
华南脑控(广东)智能科技有限公司
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

A common problem with auditory brain-computer interfaces is low accuracy

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
  • A state-of-consciousness detection system based on a multimodal brain-computer interface
  • A state-of-consciousness detection system based on a multimodal brain-computer interface
  • A state-of-consciousness detection system based on a multimodal brain-computer interface

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] The present invention will be further described in detail below in conjunction with the embodiments and the accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0051] Such as figure 1 , a state of consciousness detection system based on a multimodal brain-computer interface, which specifically includes the following parts:

[0052] 1. Interface design and control mechanism:

[0053] To get the patient's attention, we used photos of faces as stimuli as a graphical user interface (GUI). Two full-face frontal photos were randomly selected from two facial photo sets (each photo set has 10 photos), and were randomly placed on the left and right sides of the GUI. One is a photo of the patient's own face, and the other is a photo of a face of the same gender as the patient but not familiar to the patient. Facial photographs of each patient were obtained from their family members. In none of the photographs did the patient wear gl...

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 discloses a conscious state detection method based on a multi-mode brain-computer interface. The conscious state detection method includes the steps that two photos are displayed on a graphical user interface, and a user wanting to select one photo can keep an eye on the corresponding photo and silently count the times of flicking of a photo frame; SSVEP (steady state visual evoked potential) is generated by means of flicking of the corresponding photo, and P300 electric potential is generated by means of flicking of the photo frame; a scalp electroencephalogram signal is acquired via a head-wear electroencephalogram acquiring hat and is recorded by a portable amplifier; the scalp electroencephalogram signal is duplicated in two copies which enter into P300 electric potential detection and SSVEP detection respectively; normal conscious state of the user is assessed and determined according to detection results. The conscious state detection method based on the multi-mode brain-computer interface has the advantages that whether the user can recognize a specified object (a photo of the own face or a photo of another's face) or not is determined by means of detecting P300 and SSVEP of the user, and whether the user is conscious or not can be recognized effectively.

Description

technical field [0001] The invention relates to the field of brain-computer interface research, in particular to a consciousness state detection system based on a multimodal brain-computer interface. Background technique [0002] Consciousness is a rich concept that can be divided into two main parts: arousal and awareness. For patients with severe brain injury, they will enter the recovery phase of stable condition after passing the acute phase. Compared with the acute stage, the assessment of the condition at this stage needs to be as comprehensive as possible, and it is hoped that it can reflect the prognosis and outcome. Depending on the level of awareness, such patients can be divided into several clinical states. Some patients may enter a vegetative state (VS), where they have sleep-wake cycles but completely lose awareness of themselves and their environment. Some patients may return to a minimally conscious state (MCS), that is, there is a weak but definite awaren...

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 Patents(China)
IPC IPC(8): A61B5/0476
CPCA61B5/4041A61B5/6803A61B5/377
Inventor 李远清潘家辉
Owner 华南脑控(广东)智能科技有限公司
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