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Instantaneous frequency–time analysis of physiology signals: The application of pregnant women’s radial artery pulse signals

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  • Su, Zhi-Yuan
  • Wang, Chuan-Chen
  • Wu, Tzuyin
  • Wang, Yeng-Tseng
  • Tang, Feng-Cheng

Abstract

This study used the Hilbert–Huang transform, a recently developed, instantaneous frequency–time analysis, to analyze radial artery pulse signals taken from women in their 36th week of pregnancy and after pregnancy. The acquired instantaneous frequency–time spectrum (Hilbert spectrum) is further compared with the Morlet wavelet spectrum. Results indicate that the Hilbert spectrum is especially suitable for analyzing the time series of non-stationary radial artery pulse signals since, in the Hilbert–Huang transform, signals are decomposed into different mode functions in accordance with signal’s local time scale. Therefore, the Hilbert spectrum contains more detailed information than the Morlet wavelet spectrum. From the Hilbert spectrum, we can see that radial artery pulse signals taken from women in their 36th week of pregnancy and after pregnancy have different patterns. This approach could be applied to facilitate non-invasive diagnosis of fetus’ physiological signals in the future.

Suggested Citation

  • Su, Zhi-Yuan & Wang, Chuan-Chen & Wu, Tzuyin & Wang, Yeng-Tseng & Tang, Feng-Cheng, 2008. "Instantaneous frequency–time analysis of physiology signals: The application of pregnant women’s radial artery pulse signals," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(2), pages 485-494.
    • Handle: RePEc:eee:phsmap:v:387:y:2008:i:2:p:485-494
    DOI: 10.1016/j.physa.2007.09.013
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    Cited by:

    1. Chen, Mu-Chen & Wei, Yu, 2011. "Exploring time variants for short-term passenger flow," Journal of Transport Geography, Elsevier, vol. 19(4), pages 488-498.

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