A method for respiration rate detection in wrist PPG signal using Holo-Hilbert spectrum

Hsiao Huang Chang, Chuan Chih Hsu, Chia Yuen Chen, Wai Keung Lee, Hao Teng Hsu, Kuo Kai Shyu, Jia Rong Yeh, Pin Jun Lin, Po Lei Lee

研究成果: 雜誌貢獻文章

3 引文 (Scopus)

摘要

Respiration is a crucial vital sign to indicate acidotic state of human body. In this paper, we have developed a Holo-Hilbert spectral analysis (HHSA)-based approach to detect subject's respiration frequency from wrist photoplethysmogram (PPG) signals. The HHSA is a two-layer EMD architecture which first decomposes the original signal into intrinsic mode functions and then tries to find additive and multiplicative interactions among the participating components. The HHSA enables frequency-modulated (FM) and amplitude-modulated (AM) features of a signal can be comprehensively presented on a Holo-Hilbert spectrum (HHS). With the help of HHSA, subject's respiration frequency can be identified on HHS by finding the AM frequency with the most prominent amplitude around the FM frequency of heart rate. The efficacy of the proposed method has been demonstrated in two designed experiments. In the first experiment, 75 subjects with ages ranged from 20-80 years old, and the difference between the detected results of proposed method and the readouts of transthoracic impedance plethysmography is 0.04 ± 0.96 breathes-per-minute (brm). In the second experiment, six subjects were requested to breathe at 6, 12, 18, 24 brm, following the pacing rhythms of a metronome. The difference between detected respiration rates and expected breathing rates is 0.01 ± 0.70 brm. The HHSA-based approach has manifested its capability to extract respiration-induced multiplicative component in PPG signal. It avoids the ambiguity of frequency representation in signal multiplication when using traditional additive decomposition methods.
原文英語
文章編號8410910
頁(從 - 到)7560-7569
頁數10
期刊IEEE Sensors Journal
18
發行號18
DOIs
出版狀態已發佈 - 九月 15 2018

指紋

wrist
respiration
Spectrum analysis
spectrum analysis
Plethysmography
plethysmography
Experiments
rhythm
heart rate
human body
breathing
multiplication
ambiguity
Decomposition
readout
impedance
decomposition

ASJC Scopus subject areas

  • Instrumentation
  • Electrical and Electronic Engineering

引用此文

A method for respiration rate detection in wrist PPG signal using Holo-Hilbert spectrum. / Chang, Hsiao Huang; Hsu, Chuan Chih; Chen, Chia Yuen; Lee, Wai Keung; Hsu, Hao Teng; Shyu, Kuo Kai; Yeh, Jia Rong; Lin, Pin Jun; Lee, Po Lei.

於: IEEE Sensors Journal, 卷 18, 編號 18, 8410910, 15.09.2018, p. 7560-7569.

研究成果: 雜誌貢獻文章

Chang, HH, Hsu, CC, Chen, CY, Lee, WK, Hsu, HT, Shyu, KK, Yeh, JR, Lin, PJ & Lee, PL 2018, 'A method for respiration rate detection in wrist PPG signal using Holo-Hilbert spectrum', IEEE Sensors Journal, 卷 18, 編號 18, 8410910, 頁 7560-7569. https://doi.org/10.1109/JSEN.2018.2855974
Chang, Hsiao Huang ; Hsu, Chuan Chih ; Chen, Chia Yuen ; Lee, Wai Keung ; Hsu, Hao Teng ; Shyu, Kuo Kai ; Yeh, Jia Rong ; Lin, Pin Jun ; Lee, Po Lei. / A method for respiration rate detection in wrist PPG signal using Holo-Hilbert spectrum. 於: IEEE Sensors Journal. 2018 ; 卷 18, 編號 18. 頁 7560-7569.
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