适用于床垫式生理信号监测系统的信号处理方法

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 d...

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Bibliographic Details
Published inBeijing da xue xue bao Vol. 54; no. 5; pp. 921 - 926
Main Authors Shen, Jinpeng, Wang, Xin'an
Format Journal Article
LanguageChinese
Published Beijing Acta Scientiarum Naturalium Universitatis Pekinenis 20.09.2018
集成微系统科学工程与应用重点实验室, 北京大学深圳研究生院, 深圳 518055
Subjects
Bedding
Data processing
Decomposition
Fourier transforms
Heart rate
Physiology
Respiration
Signal processing
床垫式生理信号监测
EMD
压电传感器
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ISSN0479-8023
DOI10.13209/j.0479-8023.2018.012

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Summary: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.
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ISSN:0479-8023
DOI:10.13209/j.0479-8023.2018.012