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《第37届中国控制会议论文集(E)》2018年
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Study on Rectal Pressure Signal Preprocessing Based on PSR-Improved Fast ICA Algorithm

Peng Zan  Yankai Liu  Suqin Zhang  Meihan Chang  Zhiyuan Gao  
【摘要】:In view of the lack of signal preprocessing in the current artificial anal sphincter system research, a method was proposed. In the method, C-C phase space reconstruction technique(PSR) was used for multi-dimensional reconstruction of the signal and then reconstructed signal will be separated by improved Fast independent component analysis(Fast ICA) algorithm with fifteenth order Newton iteration. The simulation signal was used to verify the method. Based on the effectiveness of this method, the obtained rectal pressure signal was separated by experiment. Short time flourier transform(STFT) was carried for the separated components to determine the properties of the signals and select the rectal signal component. The experimental results show that the proposed method can achieve the signal preprocessing. Besides, the signal to noise ratio(SNR) of component separated by improved Fast ICA is close to basic Fast ICA. But the number of iterations is less and convergence is faster. This study is of positive significance for the diagnosis of rectal function by artificial anal sphincter system.

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