A new approach for time-frequency analysis of heart rate variability and assessment of time-frequency representations

Hsiao Lung Chan, Hui Hsun Huang, Chien Ping Wu, Jiunn Lee Lin

Research output: Contribution to journalArticle

Abstract

Heart rate variability signals usually contain several special characteristics and interference, such as multiple oscillations, 1/f fluctuations, transient changes, very low frequency trends, and noises. Nevertheless, the effects of these special phenomena on time-frequency signal analysis are seldom discussed. In this paper, a new approach is presented to suppress the interfering cross terms in the Wigner-Ville distribution. In comparison with various time-frequency methods, our method provides excellent cross-term suppression at the presence of multiple oscillations, 1/f characteristics, and very low frequency trends, and inherits the advantages of the Wigner-Ville distribution dealing with transient changes and noises.

Original languageEnglish
Pages (from-to)343-353
Number of pages11
JournalJournal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers,Series A/Chung-kuo Kung Ch'eng Hsuch K'an
Volume20
Issue number3
DOIs
Publication statusPublished - Jan 1 1997
Externally publishedYes

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Wigner-Ville distribution
Signal analysis

Keywords

  • Heart rate variability
  • Time-frequency analysis

ASJC Scopus subject areas

  • Engineering(all)

Cite this

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abstract = "Heart rate variability signals usually contain several special characteristics and interference, such as multiple oscillations, 1/f fluctuations, transient changes, very low frequency trends, and noises. Nevertheless, the effects of these special phenomena on time-frequency signal analysis are seldom discussed. In this paper, a new approach is presented to suppress the interfering cross terms in the Wigner-Ville distribution. In comparison with various time-frequency methods, our method provides excellent cross-term suppression at the presence of multiple oscillations, 1/f characteristics, and very low frequency trends, and inherits the advantages of the Wigner-Ville distribution dealing with transient changes and noises.",
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AU - Huang, Hui Hsun

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AU - Lin, Jiunn Lee

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AB - Heart rate variability signals usually contain several special characteristics and interference, such as multiple oscillations, 1/f fluctuations, transient changes, very low frequency trends, and noises. Nevertheless, the effects of these special phenomena on time-frequency signal analysis are seldom discussed. In this paper, a new approach is presented to suppress the interfering cross terms in the Wigner-Ville distribution. In comparison with various time-frequency methods, our method provides excellent cross-term suppression at the presence of multiple oscillations, 1/f characteristics, and very low frequency trends, and inherits the advantages of the Wigner-Ville distribution dealing with transient changes and noises.

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