Advances in time-frequency analysis of biomedical signals

Zhiyue Lin, Jiande Chen

Research output: Contribution to journalArticle

Abstract

The frequency content of many biomedical signals can change rapidly with time. Conventional Fourier spectral analysis techniques are insufficient for analyzing the time-varying spectral content of these signals. By mapping a one-dimensional function of time (or frequency), the time-frequency representation can localize the signal energy in both the time and frequency directions. It has been shown that many biomedical signal problems may benefit from time-frequency analysis. The objective of this paper is to review the advances in time-frequency analysis of biomedical signals. Relevant theoretical methodologies and practical considerations are introduced, and five application areas are reviewed: electroencephalography (EEG), electrocardiography, phonocardiography, electrogastrography, and electromyography.

Original languageEnglish (US)
Pages (from-to)1-72
Number of pages72
JournalCritical Reviews in Biomedical Engineering
Volume24
Issue number1
StatePublished - 1997
Externally publishedYes

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Keywords

  • elect romyography
  • electrocardiography
  • electroencephalography
  • electrogastrography
  • nonstationary signal
  • signal analysis

ASJC Scopus subject areas

  • Biomedical Engineering

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