NDLI: Estimation of elbow flexion force during isometric muscle contraction from mechanomyography and electromyography

Content Provider	Springer Nature Link
Author	Youn, Wonkeun Kim, Jung
Copyright Year	2010
Abstract	Mechanomyography (MMG) is the muscle surface oscillations that are generated by the dimensional change of the contracting muscle fibers. Because MMG reflects the number of recruited motor units and their firing rates, just as electromyography (EMG) is influenced by these two factors, it can be used to estimate the force exerted by skeletal muscles. The aim of this study was to demonstrate the feasibility of MMG for estimating the elbow flexion force at the wrist under an isometric contraction by using an artificial neural network in comparison with EMG. We performed experiments with five subjects, and the force at the wrist and the MMG from the contributing muscles were recorded. It was found that MMG could be utilized to accurately estimate the isometric elbow flexion force based on the values of the normalized root mean square error (NRMSE = 0.131 ± 0.018) and the cross-correlation coefficient (CORR = 0.892 ± 0.033). Although MMG can be influenced by the physical milieu/morphology of the muscle and EMG performed better than MMG, these experimental results suggest that MMG has the potential to estimate muscle forces. These experimental results also demonstrated that MMG in combination with EMG resulted in better performance estimation in comparison with EMG or MMG alone, indicating that a combination of MMG and EMG signals could be used to provide complimentary information on muscle contraction.
Starting Page	1149
Ending Page	1157
Page Count	9
File Format	PDF
ISSN	01400118
Journal	Medical and Biological Engineering and Computing
Volume Number	48
Issue Number	11
e-ISSN	17410444
Language	English
Publisher	Springer-Verlag
Publisher Date	2010-06-04
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Mechanomyogram Electromyogram Artificial neural network Force estimation Elbow flexion Computer Applications Imaging Radiology Biomedical Engineering Human Physiology
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering Computer Science Applications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Erratum to: Estimation of elbow flexion force during isometric muscle contraction from mechanomyography and electromyography

Erratum to: Estimation of elbow flexion force during isometric muscle contraction from mechanomyography and electromyography

System identification of the mechanomyogram from single motor units during voluntary isometric contraction

System identification of evoked mechanomyogram from abductor pollicis brevis muscle in isometric contraction

Comparative study of a muscle stiffness sensor and electromyography and mechanomyography under fatigue conditions

Surface electromyography and mechanomyography recording: A new differential composite probe

Surface electromyogram signal modelling

An electrooptical muscle contraction sensor

Mechanical behaviour of condenser microphone in mechanomyography

Estimation of elbow flexion force during isometric muscle contraction from mechanomyography and electromyography

Similar Documents

Erratum to: Estimation of elbow flexion force during isometric muscle contraction from mechanomyography and electromyography

Erratum to: Estimation of elbow flexion force during isometric muscle contraction from mechanomyography and electromyography

System identification of the mechanomyogram from single motor units during voluntary isometric contraction

System identification of evoked mechanomyogram from abductor pollicis brevis muscle in isometric contraction

Comparative study of a muscle stiffness sensor and electromyography and mechanomyography under fatigue conditions

Surface electromyography and mechanomyography recording: A new differential composite probe

Surface electromyogram signal modelling

An electrooptical muscle contraction sensor

Mechanical behaviour of condenser microphone in mechanomyography

Estimation of elbow flexion force during isometric muscle contraction from mechanomyography and electromyography