Analyzing cross-talk in Mechanomyographic signals of forearm muscles during grip force task and different wrist postures

In mechanomyography (MMG), cross-talk refers to the contamination of the signal from the muscle of interest by a signal from another muscle or muscle group in close proximity. This study analyzed the cross-talk in MMG signals generated by the extensor digitorum (ED), extensor carpi ulnaris (ECU),...

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Main Author:	Md. Anamul Islam
Format:	Thesis
Language:	English
Subjects:	Mechanomyographic (MMG) Cross-talk MMG signals Human muscle
Online Access:	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/59415/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/59415/2/Full%20text.pdf
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id	my-unimap-59415
record_format	uketd_dc
spelling	my-unimap-594152019-04-10T02:58:38Z Analyzing cross-talk in Mechanomyographic signals of forearm muscles during grip force task and different wrist postures Md. Anamul Islam Prof. Madya Euring. Ir. Dr Kenneth Sundaraj In mechanomyography (MMG), cross-talk refers to the contamination of the signal from the muscle of interest by a signal from another muscle or muscle group in close proximity. This study analyzed the cross-talk in MMG signals generated by the extensor digitorum (ED), extensor carpi ulnaris (ECU), and flexor carpi ulnaris (FCU) muscles during submaximal to maximal isometric contractions of the grip force (MVIC) and wrist postures of flexion (WF) and extension (WE), and radial (RD) and ulnar (UD) deviations. Twenty, healthy right-handed men (mean ± SD: age = 26.25 ± 3.13 y) participated in this study. During each muscle action, three microelectromechanical systems (MEMS)-based tri-axial accelerometers (full-scale range = ± 3g, typical frequency response = 0.5-500 Hz, sensitivity = 330 mV/g) were used to obtain the MMG signals from the longitudinal (Lo,), lateral (La) and transverse (Tr) directions with respect to muscle fibres. Peak cross-correlation coefficients at zero time lags were used for quantification of the cross-talk. Repeated-measures analysis of variance (ANOVA) followed by least significant difference (LSD) post hoc tests at a significant level = 0.05 were performed to analyze the cross-talk. The level of cross-talk in the MMG signals generated by the three axes of the muscles ranged from R2 xy = 27-70% for the Lo-axis, 14-53% for the La-axis, and 9-26% for the Tr-axis providing significantly lower crosstalk in the Tr-axis MMG signals for all the wrist postures (p < 0.05). Additionally, the wrist postures, except the RD, did not significantly influence the level of cross-talk between the muscles (p > 0.05). There were strong positive correlations between the level of cross-talk and the grip forces for the muscles (r2 ≥ 0.857). The cross-talk also occurred among the MMG signals due to force tremor (MMGTF), slow-firing (MMGSF) and fast-firing (MMGFF) motor unit fibres for the muscles with significantly greater and smaller cross-talk values for the MMGTF and MMGFF signals, respectively (p < 0.05). There were weak positive correlations between the level of cross-talk and circumference of the forearm during maximally activated MMG signals (r2 ≤ 0.216). However, there were weak negative correlations between the cross-talk and the length of forearm (r2 ≤ 0.082) and the cross-talk and muscles’ skin-fold thickness (r2 ≤ 0.30). The results may be used to improve our understanding on mechanics of the forearm muscles during the wrist postures and gripping task for using the MMG technique. Universiti Malaysia Perlis (UniMAP) 2014 Thesis en http://dspace.unimap.edu.my:80/xmlui/handle/123456789/59415 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/59415/1/Page%201-24.pdf 216bf783b5bd99bfa6bcff8f0ead9b94 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/59415/2/Full%20text.pdf 3f520d18f4949550cb959b482dfab826 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/59415/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 Mechanomyographic (MMG) Cross-talk MMG signals Human muscle School of Mechatronic Engineering
institution	Universiti Malaysia Perlis
collection	UniMAP Institutional Repository
language	English
advisor	Prof. Madya Euring. Ir. Dr Kenneth Sundaraj
topic	Mechanomyographic (MMG) Cross-talk MMG signals Human muscle
spellingShingle	Mechanomyographic (MMG) Cross-talk MMG signals Human muscle Md. Anamul Islam Analyzing cross-talk in Mechanomyographic signals of forearm muscles during grip force task and different wrist postures
description	In mechanomyography (MMG), cross-talk refers to the contamination of the signal from the muscle of interest by a signal from another muscle or muscle group in close proximity. This study analyzed the cross-talk in MMG signals generated by the extensor digitorum (ED), extensor carpi ulnaris (ECU), and flexor carpi ulnaris (FCU) muscles during submaximal to maximal isometric contractions of the grip force (MVIC) and wrist postures of flexion (WF) and extension (WE), and radial (RD) and ulnar (UD) deviations. Twenty, healthy right-handed men (mean ± SD: age = 26.25 ± 3.13 y) participated in this study. During each muscle action, three microelectromechanical systems (MEMS)-based tri-axial accelerometers (full-scale range = ± 3g, typical frequency response = 0.5-500 Hz, sensitivity = 330 mV/g) were used to obtain the MMG signals from the longitudinal (Lo,), lateral (La) and transverse (Tr) directions with respect to muscle fibres. Peak cross-correlation coefficients at zero time lags were used for quantification of the cross-talk. Repeated-measures analysis of variance (ANOVA) followed by least significant difference (LSD) post hoc tests at a significant level = 0.05 were performed to analyze the cross-talk. The level of cross-talk in the MMG signals generated by the three axes of the muscles ranged from R2 xy = 27-70% for the Lo-axis, 14-53% for the La-axis, and 9-26% for the Tr-axis providing significantly lower crosstalk in the Tr-axis MMG signals for all the wrist postures (p < 0.05). Additionally, the wrist postures, except the RD, did not significantly influence the level of cross-talk between the muscles (p > 0.05). There were strong positive correlations between the level of cross-talk and the grip forces for the muscles (r2 ≥ 0.857). The cross-talk also occurred among the MMG signals due to force tremor (MMGTF), slow-firing (MMGSF) and fast-firing (MMGFF) motor unit fibres for the muscles with significantly greater and smaller cross-talk values for the MMGTF and MMGFF signals, respectively (p < 0.05). There were weak positive correlations between the level of cross-talk and circumference of the forearm during maximally activated MMG signals (r2 ≤ 0.216). However, there were weak negative correlations between the cross-talk and the length of forearm (r2 ≤ 0.082) and the cross-talk and muscles’ skin-fold thickness (r2 ≤ 0.30). The results may be used to improve our understanding on mechanics of the forearm muscles during the wrist postures and gripping task for using the MMG technique.
format	Thesis
author	Md. Anamul Islam
author_facet	Md. Anamul Islam
author_sort	Md. Anamul Islam
title	Analyzing cross-talk in Mechanomyographic signals of forearm muscles during grip force task and different wrist postures
title_short	Analyzing cross-talk in Mechanomyographic signals of forearm muscles during grip force task and different wrist postures
title_full	Analyzing cross-talk in Mechanomyographic signals of forearm muscles during grip force task and different wrist postures
title_fullStr	Analyzing cross-talk in Mechanomyographic signals of forearm muscles during grip force task and different wrist postures
title_full_unstemmed	Analyzing cross-talk in Mechanomyographic signals of forearm muscles during grip force task and different wrist postures
title_sort	analyzing cross-talk in mechanomyographic signals of forearm muscles during grip force task and different wrist postures
granting_institution	Universiti Malaysia Perlis (UniMAP)
granting_department	School of Mechatronic Engineering
url	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/59415/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/59415/2/Full%20text.pdf
_version_	1747836834438709248

Analyzing cross-talk in Mechanomyographic signals of forearm muscles during grip force task and different wrist postures

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