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Polygraph method based on kurtosis of multi-channel EEG signal

A technology of EEG signal and kurtosis, applied in diagnostic recording/measurement, medical science, psychological devices, etc., can solve problems that affect test results, subjects are prone to fatigue, and sensitivity is reduced, so as to improve the accuracy of lie detection Effect

Inactive Publication Date: 2019-09-03
SOUTH CENTRAL UNIVERSITY FOR NATIONALITIES
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Problems solved by technology

However, the current ERP-based lie detection method requires a large amount of data superposition, the experiment takes a long time, and the subjects are prone to fatigue. At the same time, it will also affect the test effect. The sensitivity of the

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  • Polygraph method based on kurtosis of multi-channel EEG signal
  • Polygraph method based on kurtosis of multi-channel EEG signal
  • Polygraph method based on kurtosis of multi-channel EEG signal

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Embodiment Construction

[0024] see figure 1 , the present invention provides a polygraphy method based on the kurtosis of EEG signals, comprising the steps of:

[0025] 1) Real-time extraction of the EEG signals of honest and lying subjects through multi-lead EEG electrodes, and the multi-lead EEG signals of the two types of subjects were respectively obtained and saved;

[0026] 2) Select the EEG signals of each lead of the subject obtained in step 1) and perform filtering, segmentation, baseline correction, artifact removal, and superimposed average preprocessing operations in sequence to obtain the corresponding lying stimuli of each lead of the two types of subjects. EEG signals to form a data set;

[0027] 3) Calculate the kurtosis of each lead EEG signal in the data set of the stimulus responses of the two types of subjects after the above pretreatment respectively; the calculation formula of the kurtosis is: let x i is the collected vibration signal sequence, i=1,2,...,N, N is the signal x ...

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Abstract

The invention discloses a polygraph method based on kurtosis of a multi-channel EEG signal. The method comprises the following steps: calculating the kurtosis of each lead EEG signal, then performingthe statistical analysis of the difference between the honest and the lying subjects of the kurtosis of the multi-channel EEG signal, constructing a feature vector by using the kurtosis index of the electrode with difference, sending the feature vector to the machine learning algorithm for model training of machine learning, performing real-time extraction on the EEG signal of the tester by the multi-lead EEG electrode, obtaining the multi-lead EEG signal of the tester and saving the signal, performing respective pre-processing operation on each lead EEG signal, calculating the kurtosis of each EEG signal in a data set of the tester's stimulus response by using a kurtosis calculation formula, taking the kurtosis as an input, and sending the kurtosis to a trained classifier to obtain the result of the polygraph. The scheme is based on brain nerve signals, which greatly reduces the stimulation frequency required for testing, finally, after testing, the accuracy of lie detection is greatly improved.

Description

technical field [0001] The invention relates to the field of lie detection, in particular to a lie detection method based on the kurtosis of multi-conductor electroencephalogram signals. Background technique [0002] Lying is a common social and psychological phenomenon in human society. Lies have become a factor affecting social stability and unity, and pose a serious threat to the property and life safety of the people. Therefore, psychophysiologists and other related experts have been working hard to find effective lie detection methods. The effectiveness of lie detection has been confirmed in long-term and extensive application practice at home and abroad. First of all, polygraph technology has important application value for the detection of criminal investigation cases. In addition, lie recognition is also of great significance to the treatment of mental illness and mental disorders. In addition, the current international anti-terrorism situation is still grim, and...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/16A61B5/0476A61B5/0478
CPCA61B5/164A61B5/291A61B5/369
Inventor 高军峰覃凯韦思宏
Owner SOUTH CENTRAL UNIVERSITY FOR NATIONALITIES
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