Identifying method based on visual evoked P3 potential

An identity recognition and visual induction technology, applied in human identification, character and pattern recognition, medical science, etc., can solve the problems of complex recognition device and not yet in the practical stage.

Inactive Publication Date: 2012-06-20
TIANJIN UNIV
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Problems solved by technology

[0014] (6) Can only be used for live identification
There is also a potential disadvantage of the above exposure and extra-physical features: using part of the limb (even if it is dismembered from a living body) containing the feature can also achieve the purpose of identification
But up to now, it is generally in the experimental stage, the identification device is complicated, and there are shortcomings that have not yet entered the practical stage.

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  • Identifying method based on visual evoked P3 potential
  • Identifying method based on visual evoked P3 potential
  • Identifying method based on visual evoked P3 potential

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Embodiment Construction

[0037] The present invention proposes a method of using the P3 component in the EEG event-related potential (ERP) to realize identity recognition. The key technologies involved include: induction and collection of P3 EEG signals, signal processing, feature extraction, brain Electrical individual difference analysis and classification identification, etc. The technical process is as follows: firstly, the collected raw EEG signals are preprocessed, and then the P3 component to be studied is separated from the EEG mixed with background noise, and its individual differences are analyzed. (SVM) performs classification training and testing on P3 waveform features to realize identity recognition. Compared with the traditional biometric identification technology, the idea of ​​identification based on EEG is novel and has unique and significant advantages. It is a breakthrough in traditional EEG research and provides a new way to explore more diverse and effective identification method...

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Abstract

The invention belongs to the technical field of electroencephalogram identification, and provides an identifying method based on visual evoked P3 potential. The technical scheme includes that the identifying method based on visual evoked P3 potential includes steps: using the coherence averaging method to separate P3 signals, wherein recorded signals, evoked potentials and noise are in a relation accordant to xi(n)=s(n)+ni(n), i=1,2,......M and n=1,2,......N(1), the evoked potentials in fixed lock-time relation with stimulation gradually increase during repeated simulation and superposition, and the random background noise is canceled out to separate out P3; and using the separated P3 waveform as characteristics and inputting the characteristics into an SVM (support vector machine) for training and testing, wherein the 10-fold cross validation method is used for improving identification precision. The identifying method based on visual evoked P3 potential is mainly applied to identification places.

Description

technical field [0001] The invention belongs to the technical field of electroencephalogram identification, in particular the identification based on visually induced P3 electroencephalogram. Background technique [0002] P3 has attracted widespread attention since it was discovered by Sutton et al. It is considered to be the most important source of information for understanding the neural basis of cognition and an objective indicator for evaluating the state of brain function. It is a "window" to "peek" into the content of mental activities. . Because it was first discovered to appear about 300ms after stimulation, this component was also called P300. After the discovery of P3, people quickly conducted a lot of research on its related psychological factors, making P3 the component with the largest amount of research, the longest duration of research, and the most widely used in the event-related potential (ERP). P3 was originally induced by the classic Oddball experiment...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62A61B5/117A61B5/0484
Inventor 白艳茹明东刘晶孙长城綦宏志万柏坤
Owner TIANJIN UNIV
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