Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for collecting and classifying electroencephalogram signals based on steady state visual invocation

A steady-state visual eliciting and EEG signal technology, applied in the interdisciplinary field of biological science and information science, to achieve the effect of simple signal extraction and easy realization

Inactive Publication Date: 2018-07-20
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
View PDF8 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, limited by the inherent refresh rate of computer monitors, only a few specific frequencies of visual stimuli can be produced

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
  • Method for collecting and classifying electroencephalogram signals based on steady state visual invocation
  • Method for collecting and classifying electroencephalogram signals based on steady state visual invocation
  • Method for collecting and classifying electroencephalogram signals based on steady state visual invocation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] Below in conjunction with accompanying drawing, technical scheme of the present invention is described further:

[0022] Such as figure 1 As shown, the specific implementation process includes seven steps:

[0023] Step 1: Wear the collection device. The 32-channel EEG acquisition equipment of BioSemi Company used in the present invention. In a soundproof room with low light, the subjects sat quietly and relaxed on a comfortable chair, which was about 65cm away from the computer display screen. The brain electrodes are placed on the head of the subject according to the international 10-20 system electrode placement standard. This invention only records the positions of the nine electrodes Pz, P05, P03, POz, P04, P06, O1, Oz, and O2 in the occipital region of the head. Refer to The electrode is the top of the head, and the ground electrode is located at the midpoint of the line connecting FPz and Fz. Fill the electrode with conductive paste during installation to ens...

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 method for collecting and classifying electroencephalogram signals based on steady state visual invocation. The method includes the steps that an electroencephalogram signalcollecting device and a visual stimulator are firstly installed; electroencephalogram signals of people who are tested are collected, preprocessing is conducted, and artifacts are removed; the electroencephalogram signals are decomposed into a plurality of sub-signals according to a frequency band, and feature extraction is performed on each sub-signal; finally, a classification result is obtained. The method can effectively perform electroencephalogram signal collection and classification. The method has a practical application meaning in aspects of electroencephalogram signal collection andelectroencephalogram signal assisting.

Description

technical field [0001] The invention relates to the interdisciplinary field of biological science and information science, and is a method for collecting and classifying electroencephalogram signals based on steady-state visual induction. Background technique [0002] Brain-Computer Interface (BCI) is a direct communication and control channel developed between the human brain and a computer or other external devices developed in recent years. It does not rely on the peripheral nerves and muscle tissue of the brain, and expresses ideas or manipulates devices directly through the human brain. The advent of BCIs offers a new way to communicate for patients with amyotrophic lateral sclerosis (ALS) and other neuromuscular diseases. Based on the brain-computer interface, a variety of enhanced control and communication systems can be developed to improve the quality of life of certain patients, such as motor neuron damage, Parkinson's syndrome, etc. [0003] Visually Evoked Pote...

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
IPC IPC(8): A61B5/0484G06K9/00
CPCA61B5/7264A61B5/378G06F2218/02G06F2218/08G06F2218/12
Inventor 皮德常朱延龙
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com