Description and analysis method of higher-order statistical characteristics for biological electric shock signal
1. College of Information Technology, Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang 163319, China; 2. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
Abstract：To solve the complexity and diversity problems of the residual current protection technology in biological shock current branch, the combination method of higher-order statistics combinatorial algorithm and Fourier transform was used to analyze the variation law of residual current and electric shock current. The residual current and the electric shock current of original signal and higher-order statistics of each component of the feature vector components were demonstrated to have significant correlation with the average correlation coefficient up to 0.976 5. The simulation results show that for the extractions of residual current and high-order statistical feature vector of electric shock current in biological electric shock signal, DC component, 2rd, 3th, 4th, 6th and 8th harmonic characteristic quantities present significant correlation. The average correlation coefficient is above 0.85, and the quantitative characterizations of residual current characteristic and electric shock current change are realized.
2017, Vol. 38 
