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Blink and tooth biting judgment method and system based on electroencephalogram

A technology of EEG and judging results, applied in the direction of diagnosis, diagnostic recording/measurement, medical science, etc., to achieve the effect of ensuring the effectiveness and sufficient reliability of detection

Pending Publication Date: 2022-05-06
NANJING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method and system for judging blinking and clenching based on EEG, which solves the problem of ignoring the application potential of artefact signals such as clenching and blinking in the EEG control invention in the prior art, and can ensure the effective detection of clenching and blinking High performance and reliability, providing the possibility for the application of BCI in the field of engineering control

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  • Blink and tooth biting judgment method and system based on electroencephalogram
  • Blink and tooth biting judgment method and system based on electroencephalogram
  • Blink and tooth biting judgment method and system based on electroencephalogram

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Embodiment 1

[0042] Extracting the mixed artifact signal from the background of EEG brainwave signal as a control signal is a key technology to realize the practical application of human-computer interaction in BCI research; online detection of artifact signal based on low-complexity, low-latency, and high-reliability EEG The method can meet the design requirements of the real-time brain wave control system, and further realize the application of BCI in the field of engineering control.

[0043] For wearable and portable EEG signal control system equipment, in order to meet the system performance requirements of low delay and high reliability, the embodiment of the present invention proposes an EEG-based blinking and teething judgment that can detect teething and blinking behaviors online and in real time The method, which is a single-threaded time-domain processing method, enables users to operate and control external devices only through eyes and teeth without the involvement of hands and...

Embodiment 2

[0078] Such as figure 1 As shown, a method for judging blinking and teeth clenching based on EEG provided by the embodiment of the present invention includes:

[0079] Take the set of reference points extracted from the EEG and calculate their mean and standard deviation;

[0080] Compare the current data point with the clenching judgment threshold to obtain the clenching state value. If the clenching state value meets the preset clenching state threshold, the output judgment result is clenching, otherwise the output judgment result is not clenching;

[0081] Obtain the current acquisition window data of the sliding window and calculate the absolute value of the difference between it and the mean value of the reference point set, compare the absolute value with the preset threshold of the standard deviation of the reference point set to obtain the blink state value, and compare the blink state value with the preset threshold Compared with the preset blinking state threshold, ...

Embodiment 3

[0088] An embodiment of the present invention provides a blinking and teeth clenching judgment system based on EEG, including:

[0089] Reference point set acquisition module: used to obtain the reference point set extracted from the EEG and calculate its mean and standard deviation;

[0090] Gritting Judgment Module: used to compare the current data point with the gnashing judgment threshold to obtain the gnashing state value. If the gnashing state value meets the preset gnashing state threshold, the output judgment result is gnashing, otherwise the output judgment result is not gnashing;

[0091] Blink judgment module: used to obtain the current acquisition window data of the sliding window and calculate the absolute value of the difference between it and the mean value of the reference point set, and compare the absolute value with the preset threshold of the standard deviation of the reference point set to obtain the blink state value, Comparing the blink state value with ...

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Abstract

The invention discloses a blink and tooth bite judgment method and system based on an electroencephalogram, and belongs to the field of electroencephalogram signal processing and feature extraction.The method comprises the steps that a reference point set extracted from the electroencephalogram is obtained, and the mean value and the standard deviation of the reference point set are calculated; comparing the current data point with a tooth-biting judgment threshold value to obtain a tooth-biting state value, if the tooth-biting state value meets a preset tooth-biting state threshold value, outputting a judgment result that the tooth is bitten, and otherwise, outputting a judgment result that the tooth is not bitten; acquiring current acquisition window data of the sliding window, calculating an absolute value of a difference between the current acquisition window data and a mean value of the reference point set, comparing the absolute value with a preset threshold of a standard deviation of the reference point set to obtain a blink state value, and comparing the blink state value with a preset blink state threshold, if the blink state value meets a preset blink state threshold value, outputting a judgment result of blink, otherwise, not blink; updating the reference point set according to a preset control factor and the current data point; and application of the BCI in the engineering control field is possible by using the artifact signal.

Description

technical field [0001] The invention relates to an EEG-based judgment method and system for blinking and gnashing of teeth, belonging to the field of EEG signal processing and feature extraction. Background technique [0002] Electroencephalography (Electroencephalography, EEG) is a method of recording brain electrical activity in the form of non-resting potentials. It has been widely used in clinical medical diagnosis such as epilepsy and Alzheimer's disease; With the remarkable development of sensing technology, EEG has gradually become the main signal acquisition method for brain computer interface (Brain Computer Interface, BCI) research. [0003] Artifact signals refer to the potential difference caused by blinking or muscle activity due to the good electrical conductivity of the scalp during the EEG signal acquisition process. For these artifact signals, the means of removal are often adopted, ignoring their presence in the brain. Potential applications in electrical ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/369A61B5/11A61B5/00
CPCA61B5/369A61B5/721A61B5/1103A61B5/1107
Inventor 徐友云徐曹军威力
Owner NANJING UNIV OF POSTS & TELECOMM
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