1996
DOI: 10.1109/5.535246
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Time-frequency analysis of skeletal muscle and cardiac vibrations

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Cited by 45 publications
(26 citation statements)
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“…Since the ramp contractions generate the non-stationary MMG, time-frequency analysis is necessary. Wood and Barry (1996) used the Wigner transform for time-frequency analysis of the non-stationary MMG. The short-time Fourier transform was employed in this study because it is one of the simplest and most useful methods of time-frequency analysis, and is a generalization of traditional methods to nonstationary signals (Cohen 1995, Wood andBarry 1996).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Since the ramp contractions generate the non-stationary MMG, time-frequency analysis is necessary. Wood and Barry (1996) used the Wigner transform for time-frequency analysis of the non-stationary MMG. The short-time Fourier transform was employed in this study because it is one of the simplest and most useful methods of time-frequency analysis, and is a generalization of traditional methods to nonstationary signals (Cohen 1995, Wood andBarry 1996).…”
Section: Discussionmentioning
confidence: 99%
“…In order to analyze the non-stationary MMG during ramp contractions, the short-time Fourier transform was used (Cohen 1995;Wood and Barry 1996). For a signal, f(t), the short-time Fourier transform is denoted by:…”
Section: Discussionmentioning
confidence: 99%
“…However, some aspects of the TS need to be considered, such as their non-stationary behavior and the multicomponent nature [2,4]. Nowadays, one of the tendencies to analyze TS is based on obtaining signatures in the time-frequency (TF) domain.…”
Section: Introductionmentioning
confidence: 99%
“…However, as the ECG and all other biological signals belong to the family of multicomponent nonstationary signals [3], accurate time-varying spectral estimates can be extremely difficult to obtain. However, a proper time-frequency distribution (TFD) can tackle this problem and reveal the multicomponent nature of such signals.…”
Section: Introductionmentioning
confidence: 99%