Lie detection method based on electrocardio measure

Abstract

The invention discloses a novel lie detection method based on electrocardio measure. The method comprises acquisition of electrocardio and heart rate, detection of electrocardio fragment wave abnormity, detection of premature beat waves, and calculation of a heart rate local Hurst index value range and calculation of a heart rate mean value. Under non-strenuous exercise state, when a short RR interval mean value and an extremely reduced local Hurst index value range appear at the same time, psychology of fearing negative evaluation by others under high mental pressure is prompted. Under a non-mental pressure state, each fragment wave of electrocardio is normal, and heart rate has normal fluctuation. But under mental pressure state, QRS complex wave intermittent deformation, T-wave intermittent deformation, or premature beat occur, and psychology of fearing negative evaluation by others is prompted. Through detecting four measures of abnormal electrocardio fragment waves, premature beat waves, tachycardia, and extremely reduced local Hurst index value range, a novel lie detection method for detecting anxiety mentality under high mental pressure is obtained.

Description

technical field [0001] The invention relates to a novel polygraph method based on electrocardiogram measurement. Background technique [0002] Traditional polygraph technology mainly uses skin electrical activity level index, heart rate mean value and heart rate variability rate index as physiological measures. If it is greater than the baseline, it is judged that the mental state is abnormal. The shortcomings of these two traditional indicators are: when the subject is sweating profusely, the event-related response of skin electricity is not obvious; normal physical activities such as posture changes and speaking can also cause obvious changes in skin electricity level, heart rate mean value or heart rate variability rate. becomes large, making these traditional indicators unable to correctly indicate abnormal mental states in polygraph settings. [0003] Therefore, the problem to be solved by the present invention is: to provide a novel polygraph technology based on elec...

AI Technical Summary

Problems solved by technology

The shortcomings of these two traditional indicators are: when the subject is sweating profusely, the event-related response of skin electricity is not obvious; normal physical activities such as posture changes and speaking can also cause obvious changes in skin electricity level, heart rate mean value or heart rate variability rate. become large, making these traditional indicators incorrectly indicative of abnormal mental states in polygraph settings

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