Time-frequency based Coherence and Phase Locking Value Analysis of Human Locomotion Data using Generalized Morse Wavelets

Sopapun Suwansawang, Sopapun Suwansawang, David Halliday

2017

Abstract

Time-frequency analysis is a powerful and popular tool for studying time-varying properties of non-stationary neurophysiological signals. In this study, time-frequency based coherence and phase locking value (PLV) analysis using generalized Morse wavelets are presented. The methods are applied to pairs of surface EMG signals recorded from leg muscles during treadmill walking in healthy human subjects. Time-frequency based coherence and PLV analysis in this study detect similar patterns of 8-15 Hz and 15-20 Hz common modulation of EMG during locomotion. Our results suggest that a combination of both methods would be suitable for investigating and characterising non-stationary neurophysiological data. An understanding of the basic principles of normal locomotion can further provide insight into pathological locomotion deficits.

Paper Citation

in Harvard Style

Suwansawang S. and Halliday D. (2017). Time-frequency based Coherence and Phase Locking Value Analysis of Human Locomotion Data using Generalized Morse Wavelets. In - BIOSIGNALS, (BIOSTEC 2017) ISBN , pages 0-0. DOI: 10.5220/0006111800001488

in Bibtex Style

@conference{biosignals17,
author={Sopapun Suwansawang and David Halliday},
title={Time-frequency based Coherence and Phase Locking Value Analysis of Human Locomotion Data using Generalized Morse Wavelets},
booktitle={ - BIOSIGNALS, (BIOSTEC 2017)},
year={2017},
pages={},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006111800001488},
isbn={},
}

in EndNote Style

TY - CONF

JO - - BIOSIGNALS, (BIOSTEC 2017)
TI - Time-frequency based Coherence and Phase Locking Value Analysis of Human Locomotion Data using Generalized Morse Wavelets
SN -
AU - Suwansawang S.
AU - Halliday D.
PY - 2017
SP - 0
EP - 0
DO - 10.5220/0006111800001488