| Summary: | 碩士 === 國立中央大學 === 光電科學與工程學系 === 105 === In this thesis, we use transmitted PPG to measure human cardiac pulse waveforms. And we develop the algorithm for physiological signal to analyze the physiological rhythms and synchronized physiological interaction of cardiopulmonary system and respiratory system.
Based on Continuous Wavelet Transformation(CWT) and the CWT characteristic of analyzing real time spectrum, instantly monitor heart rate(HR) and heart rate variability(HRV) to prove that the moment of high HR(~2Hz) and low HR(~1Hz) corresponds to inspiration and expiration, respectively. We apply peak frequency of HR to depict waveform of HRV and obtain the frequency of respiration. And pick the signal of maximum weighting to derive the waveform of respiration.
According to the characteristic of Inverse Continuous Wavelet Transformation(ICWT), we can rebuild the signal without time delay and separate the HR signal into two parts, HR with inspiration and HR with expiration. Moreover, depict the evolution of HR waveform. Based on rebuilt waveform of respiration, determine the depth of respiration. Finally, by applying ICWT to second harmonic of HR, explain that the frequency of respiration(~0.1Hz) causes HR to form the waveforms with 0.1Hz beat frequency.
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