基于MATLAB的时频域信号处理及在心冲击信号提取中的应用

Time Frequency Domain Signal Processing Based on MATLAB and its Application in Cardiac Impact Signal Extraction

本文主要在国内外驾驶疲劳监测预警方法的基础上,系统分析无约束式的心冲击信号在疲劳监测中的可行性。设计并进行驾驶疲劳试验,对驾驶员的心电信号以及心冲击信号进行采集,将心冲击信号在时域内进行滤波去噪,再经过FFT将时域信号转变为频域信号,然后在心电信号范围内进行频域滤波,得到频谱,最后进行IFFT变换,在周期性上与心电信号进行对比,证明心冲击信号中蕴含心电信号的结论。为疲劳驾驶监测预警提供一种新的思路,以减少因疲劳驾驶导致的交通事故。

Based on the domestic and foreign driver fatigue monitoring and early warning methods, the feasibility of the unconstrained heart pulse signal in fatigue monitoring is systematically analyzed. Design and conduct a driver fatigue test, collect the driver’s ECG signal and heartbeat signal, filter and denoise the time domain heartbeat signal, then convert the time domain signal into a frequency domain signal through FFT, and then convert it into an ECG signal. signal. Perform frequency-domain filtering in this range to obtain the spectrum. Finally, an IFFT transform is performed, and the ECG signal is periodically compared with the ECG signal to prove that the heart pulse signal contains the ECG signal. It provides new ideas for fatigue driving monitoring and early warning to reduce traffic accidents caused by fatigue driving.Keywords:cardiac impact signal correlation linear correlation nonlinear correlation.