Queen's University - Utility Bar

QSpace at Queen's University >
Theses, Dissertations & Graduate Projects >
Queen's Theses & Dissertations >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1974/6716

This item is restricted and will be released 2019-02-11.
Title: Wavelet Frequency-Temporal Relative Phase Pattern of the Surface Electromyogram for Investigation of Intramuscular Synchronization
Authors: CHAN, CALVIN WING YIU

Files in This Item:

File Description SizeFormat
Chan_Calvin_WY_201109_MASc.pdf587.12 MBAdobe PDFView/Open
Chan_Calvin_WY_201109_MASc_Dummy.pdf39.12 kBAdobe PDFView/Open
Keywords: Correlation
Electromyography
EMG
Dynamic contraction
Cross correlation
Coupling
Upper limb
Biomechanic
Wavelet
Cross-correlation histogram
Synchronization
Issue Date: 13-Sep-2011
Series/Report no.: Canadian theses
Abstract: Cross-correlation is often used as the primary technique to compare two biological signals. The cross-correlation technique is an effective means to measure the synchronization of two signals if the relative phases at all frequencies are distributed linearly, that is, there is a group delay. The group delay assumption of cross-correlation analysis imposes an unfavourable restriction on signals with relative phase correlation which varies at different frequencies. Traditional Fourier analysis applied to a short data segments, namely the Short Time Fourier Transform (STFT), provides phase information for each frequency component, but it is not suitable for biological signals with non-stationary statistics for which the ideal segment length is unknown. The application of a wavelet based phase analysis technique is discussed in this study. The frequency decomposition and temporally localized nature of the wavelet transform provides localized phase-frequency information for two signals. A wavelet frequency temporal relative phase pattern (WFT-RPP) technique to extract relative phase information at specific frequencies over the time course of a time-varying signal was developed. The technique was tested on simulated data and surface electromyographic (sEMG) data recorded from upper limb muscles in human subjects as they performed a series of dynamic push and pull tasks. Selected sEMG channel pairs are compared against each other using the WFT-RPP technique to extract the relative phase information and repetitive relative phase patterns for certain muscle pairs were observed. The properties of the WFT-RPP and the merits and weaknesses of using the technique for determining intermuscular sEMG synchronization is discussed.
Description: Thesis (Master, Electrical & Computer Engineering) -- Queen's University, 2011-09-13 11:58:16.014
URI: http://hdl.handle.net/1974/6716
Appears in Collections:Queen's Theses & Dissertations

Items in QSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

  DSpace Software Copyright © 2002-2008  The DSpace Foundation - TOP