作者: Xin Zhu , Wenxi Chen , K. Kitamura , T. Nemoto
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摘要: In this research, we proposed a method to estimate the time- and frequency-domain indices of pulse rate variability by using waveforms separated from pressure signals measured during sleep. The waveform is extracted based on wavelet transform, heart beats are detected an adaptive template method. Through evaluation 13 healthy subjects' photoplethysmography simultaneously sleep, found that estimated have high correlation with those signals. It suggests may serve as convenient low-cost tool