Spectral analysis of photoplethysmography based on EEMD method

Shang Yi Chuang, Jia Ju Liao, Chia Ching Chou, Chia Chi Chang, Wai-Chi  Fang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this paper, the proposed algorithm based on Hilbert-Huang Transform (HHT) is used to analyze the photoplethysmography (PPG) signal. In fact, PPG is nonlinear and nonstationary signal which is suitable for HHT method to achieve the capability of precise decomposition. The time series data are decomposed into Intrinsic Mode Function (IMF) with Ensemble Empirical Mode Decomposition (EEMD) algorithm. This study proposed a novel instantaneous pulse rate variability (iPRV) measurement based on EEMD method to analyze the very high frequency band (0.4-0.9Hz) of IMF5 which contains heart rhythm component.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages224-225
Number of pages2
ISBN (Electronic)9781479987443
DOIs
StatePublished - 20 Aug 2015
Event2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015 - Taipei, Taiwan
Duration: 6 Jun 20158 Jun 2015

Publication series

Name2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015

Conference

Conference2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015
CountryTaiwan
CityTaipei
Period6/06/158/06/15

Keywords

  • Autonomic nervous system
  • Empirical mode decomposition
  • Frequency measurement
  • Heart rate
  • Resonant frequency
  • Spectral analysis

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