Time-frequency based coherence and phase locking value analysis of human locomotion data using generalized morse wavelets

TY - GEN

T1 - Time-frequency based coherence and phase locking value analysis of human locomotion data using generalized morse wavelets

AU - Suwansawang, Sopapun

AU - Halliday, David M.

N1 - Funding Information: Financial support is provided by the Royal Thai government science and technology scholarships. Publisher Copyright: Copyright © 2017 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.

PY - 2017/3/23

Y1 - 2017/3/23

N2 - 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.

AB - 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.

KW - Analytic Wavelets

KW - Cone of Influence

KW - Non-stationary Analysis

KW - Phase Synchronization

UR - http://www.scopus.com/inward/record.url?scp=85051790663&partnerID=8YFLogxK

U2 - 10.5220/0006111800340041

DO - 10.5220/0006111800340041

M3 - Conference contribution

AN - SCOPUS:85051790663

T3 - BIOSIGNALS 2017 - 10th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 10th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2017

SP - 34

EP - 41

BT - BIOSIGNALS 2017 - 10th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 10th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2017

A2 - Maciel, Carlos D.

A2 - Fred, Ana

A2 - Gamboa, Hugo

A2 - Vaz, Mario

PB - SciTePress

T2 - 10th International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2017 - Part of 10th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2017

Y2 - 21 February 2017 through 23 February 2017

ER -