Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/88922
PIRA download icon_1.1View/Download Full Text
Title: Sonomechanomyography (SMMG) : mapping of skeletal muscle motion onset during contraction using ultrafast ultrasound imaging and multiple motion sensors
Authors: Ling, YT 
Ma, CZH 
Shea, QTK 
Zheng, YP 
Issue Date: 1-Oct-2020
Source: Sensors (Switzerland), 1 Oct. 2020, v. 20, no. 19, 5513, p. 1-13
Abstract: Background: Available methods for studying muscle dynamics, including electromyography (EMG), mechanomyography (MMG) and M-mode ultrasound, have limitations in terms of spatial resolution.
Methods: This study developed a novel method/protocol of two-dimensional mapping of muscle motion onset using ultrafast ultrasound imaging, i.e., sono-mechano-myo-graphy (SMMG). The developed method was compared with the EMG, MMG and force outputs of tibialis anterior (TA) muscle during ankle dorsiflexion at different percentages of maximum voluntary contraction (MVC) force in healthy young adults.
Results: Significant differences between all pairwise comparisons of onsets were identified, except between SMMG and MMG. The EMG onset significantly led SMMG, MMG and force onsets by 40.0 ± 1.7 ms (p < 0.001), 43.1 ± 5.2 ms (p < 0.005) and 73.0 ± 4.5 ms (p < 0.001), respectively. Muscle motion also started earlier at the middle aponeurosis than skin surface and deeper regions when viewed longitudinally (p < 0.001). No significant effect of force level on onset delay was found.
Conclusions: This study introduced and evaluated a new method/protocol, SMMG, for studying muscle dynamics and demonstrated its feasibility for muscle contraction onset research. This novel technology can potentially provide new insights for future studies of neuromuscular diseases, such as multiple sclerosis and muscular dystrophy.
Keywords: Electromyography (EMG)
Maximum voluntary contraction (MVC)
Mechanomyography (MMG)
Muscle motion onset
Ultrafast ultrasound
Publisher: Molecular Diversity Preservation International (MDPI)
Journal: Sensors (Switzerland) 
ISSN: 1424-8220
DOI: 10.3390/s20195513
Rights: © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
The following publication Ling, Y.T.; Ma, C.Z.-H.; Shea, Q.T.K.; Zheng, Y.-P. Sonomechanomyography (SMMG): Mapping of Skeletal Muscle Motion Onset during Contraction Using Ultrafast Ultrasound Imaging and Multiple Motion Sensors. Sensors 2020, 20, 5513 is available at https://dx.doi.org/10.3390/s20195513
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Ling_Sonomechanomyography_SMMG_Mapping.pdf2.19 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

87
Last Week
0
Last month
Citations as of Sep 22, 2024

Downloads

31
Citations as of Sep 22, 2024

SCOPUSTM   
Citations

12
Citations as of Sep 26, 2024

WEB OF SCIENCETM
Citations

11
Citations as of Sep 26, 2024

Google ScholarTM

Check

Altmetric


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