Abstract:

An empirical mode decomposition (EMD) based algorithm is proposed for mattress-type physiological monitoring. Fast Fourier Transform (FFT) is executed for the mixed physiological signal to estimate the frequency range of the respiration signal and heartbeat signal. Then the physiological signal is decomposed into several IMF components by EMD method, some of which are used to reconstruct the respiration signal and the heartbeat signal, according to the respiration or heartbeat spectrum energy in proportion of the total spectrum energy. The experiment result shows that the accuracy of measured respiration rate and heartbeat rate are both over 90%, compared with the polysomnography.

Key words: mattress-type physiological monitoring, EMD, piezoelectric sensor

摘要：

提出一种适用于床垫式生理信号监测系统的信号处理方法。首先对原始信号进行FFT分析, 以确定呼吸信号和心跳信号的频带范围。然后将原始信号分解为若干IMF (intrinsic mode function) 分量, 基于这些IMF分量在呼吸频带和心跳频带的能量分布情况, 选出合适的IMF分量, 重构呼吸信号和心跳信号。实验结果表明, 与多导睡眠仪相比, 该方法得到的呼吸率和心率的准确性都超过90%, 可以很好地提取呼吸和心跳信号。

关键词: 床垫式生理信号监测, EMD, 压电传感器