Research On Electric Shock In Vivo

The accident of electric shock happens all the time; and sometimes, people even die because of electric shock, especially in summer. The reports about the accidents can usually be seen in the newspapers. Many domestic and foreign research workers and manufacturers of circuit protector have paid much attention to the electric shock accidents. But there is few product which can protect efficiently. Although, Amplitude-phase of residual current operated protective devices were designed by principle of the generation of the electric shock. However, it can only protect the indirect electric shock to a certain extent but not the direct electric shock. There is neither standards nor specification concerning on electric shock in vivo in our country, while which have been enacted abroad long before. Considering the fact that much attention has been paid to the protection of electric shock, why that kinds of productions are still lack of? The reason is that the analysis and research about electric shock are far from enough.Focusing on research on electric shock in vivo, following works are performed.Firstly, design experiments about electric shock in vivo, and collect data.Secondly, learn the research of the effect on a person caused by the electric shock, the electric shock current’s characteristics of visibility in theory are researched and verified through a lot of experiments.Thirdly, analyze electric shock current signals with a variety of signal analysis methods. I. Analyze the signals with Fourier transform, looking for characteristics in the frequency domain.2. Analyze data with wavelet transform; amplify the signal details in each band.3. Combine Wavelet packet filter, digital notch filter with SOM neural networks, find the optimum signal processing method through cluster analysis.4. Analyze the current signals of electric shock with S transform, observe electric shock current signals’characteristics from the amplitude-time-frequency three-dimensional space. Result of Fourier transform and wavelet analysis, electric shock current signals can only be qualitative analysis, that the characteristics are included in the frequency range of about50Hz, which are convinced by Combine wavelet packet filter, digital notch filter with SOM neural networks. But none of them can distinguish electric shock signals and non-electric shock signals from each other quite well.S transform is commonly used in the analysis of power quality disturbances, and has been applied. S transform is introduced into the analysis of electric shock signals in the first time. Characteristics in both time and frequency domain, and energy change are two different points, based on which the F1to F4four characteristic quantities are brought forward. Each characteristic quantity can find the appropriate threshold, such as F1=0.007～0.013、F2=0.003～0.004、、F3=0.004～0.007, F4=0.013～0.014, through data validation, Each one will be able to fully distinguish electric shock current signals and non-electric shock current signals.Data for analysis in this article are collected by experiments, respect for objective facts. Analysis methods, from traditional to modern intelligent algorithms, are covering a wide range of analytical methods, which are also scientific and objective. The conclusion of this paper has high credibility and reference value in studies of electric shock in vivo.