A practical guide to time-frequency analysis in the study of human motor behavior: the contribution of wavelet transform

Journal of Motor Behavior
Johann IssartelMarielle Cadopi

Abstract

The authors present a practical guide for studying nonstationary data on human motor behavior in a time-frequency representation. They explain the limits of classical methods founded exclusively on the time or frequency basis and then answer those limits with the windowed Fourier transform and the wavelet transform (WT) methods, both of which are founded on time-frequency bases. The authors stress an interest in the WT method because it permits access to the whole complexity of a signal (in terms of time, frequency, amplitude, and phase). They then show that the WT method is well suited for the analysis of the interaction between two signals, particularly in human movement studies. Finally, to demonstrate its practical applications, the authors apply the method to real data.

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Citations

Dec 25, 2009·Psychophysiology·Nicole PrauseKen Bosworth
Apr 8, 2010·IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society·Vlodek SiemionowGuang H Yue
May 6, 2016·Frontiers in Psychology·Ken Fujiwara, Ikuo Daibo
May 6, 2015·Frontiers in Psychology·Ashley E WaltonAnthony Chemero
Nov 19, 2014·Frontiers in Human Neuroscience·Ludovic Marin
Sep 2, 2014·Frontiers in Human Neuroscience·R C SchmidtMichael J Richardson
Oct 24, 2014·Frontiers in Human Neuroscience·Auriel WashburnMichael A Riley
Jan 27, 2015·Frontiers in Psychology·Johann IssartelLudovic Marin
Aug 23, 2016·Frontiers in Psychology·Mathieu GueugnonLudovic Marin
Oct 14, 2014·Frontiers in Systems Neuroscience·Maria BotcharovaLuc Berthouze
Jun 1, 2017·NPJ Schizophrenia·Piotr SłowińskiKrasimira Tsaneva-Atanasova
Jul 18, 2017·Frontiers in Psychology·Johann IssartelLudovic Marin

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