Begell House Inc.
Critical Reviews™ in Biomedical Engineering
CRB
0278-940X
24
1
1996
Advances in Time-Frequency Analysis of Biomedical Signals
1-72
10.1615/CritRevBiomedEng.v24.i1.10
Zhiyue
Lin
Department of Medicine, University of Kansas Medical Center, Kansas City, Kansas
Jian De Z.
Chen
Thomas N. Lynn Institute for Healthcare Research, Integris Baptist Medical Center of Oklahoma, 3300 Northwest Expressway, Oklahoma City, OK 73112
nonstationary signal
signal analysis
electrocardiography
electroencephalography
electrogastrography
electromyography
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.