Abstract：To solve the problem that electric shock test could not be done by human body, a method based on electric shock test data of pigs was proposed to investigate the law of human electric shock. The data of DALZIEL letgo currentfrequency characteristic curves were used as training samples, and the prediction model of adult letgo current was obtained by BP neural network. Based on the electric shock test data of pigs with different weights, the regression analysis method was used to establish the relationship between pig electric current and weight. According to the high similarity between human and pig in terms of physiology, anatomy and electrical properties, the electric shock channel was constructed based on the bioelectromagnetics, and the mapping relationship between adult and experimental pig impedance was obtained by cylinder model to derive the relationship model between electric shock current and body weight at 36 V and 50 Hz. The research results show that the electric current passing through body is positively related to the weight of human body when the electric shock occurs. Under the condition of 36 V and 50 Hz, the electric current of 50 kg adult is 17.02 mA, and the letgo current of 50 kg adult by the BP neural network model is 16.22 mA, which illuminates the error is 0.8 mA.
李春兰, 叶豪, 王成斌, 王海杨. 基于猪触电试验的人体触电规律研究[J]. 江苏大学学报（自然科学版）, 2019, 40(5): 553-558.
LI Chun-Lan, YE Hao, WANG Cheng-Bin, WANG Hai-Yang. Human electric shock law based on pig electric shock experiment[J]. Journal of Jiangsu University(Natural Science Eidtion)
, 2019, 40(5): 553-558.
2019, Vol. 40 
