NDLI: A mathematical approach to determine the work-done from EMG analysis

Content Provider	IEEE Xplore Digital Library
Author	Khanam, F. Asadur Rahman, M. Ahmad, M.
Copyright Year	2015
Description	Author affiliation: Dept. of Electr. & Electron. Eng., Khulna Univ. of Eng. & Technol., Khulna, Bangladesh (Ahmad, M.) \|\| Dept. of Biomed. Eng., Khulna Univ. of Eng. & Technol., Khulna, Bangladesh (Khanam, F.; Asadur Rahman, M.)
Abstract	Electromyography (EMG) measures cumulative action potential by means of voltage from our muscles which means, it is related to work done. As far as we know, there is no exact technique to estimate the mathematical relation between work done and EMG value. In this work, we propose a mathematical relation between work done and EMG signal with proper curve fitting and constant parameter correction. For this purpose, different subjects are chosen for determining work done by lifting different known weight to a defined height and corresponding EMG voltage is measured. Biceps Brachii and Flexor Carpi Radialis muscles are selected for taking EMG values in millivolts. We have considered the mean value from collected sEMG (Surface Electromyography) results for final analysis. From the results, it is observed that EMG voltage maintain almost parabolic relationship with work done. In addition, with that, considering the relationship as exact linear and parabolic, the errors from the measured values are also calculated. The accuracy of our proposed mathematical model is shown numerically.
Starting Page	178
Ending Page	182
File Size	1291742
Page Count	5
File Format	PDF
ISBN	9781467392563
e-ISBN	9781467392570
DOI	10.1109/EICT.2015.7391942
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-10
Publisher Place	Bangladesh
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Weight measurement Biomechanics Electric potential Surface Electromyography Voltage measurement Work done Biceps Brachii Cumulative action potential Electromyography Silicon Mathematical model
Content Type	Text
Resource Type	Article

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 Libarray 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

Spatial Dependence of Log-Transformed Electromyography-Force Relation: Model-Based Sensitivity Analysis and Experimental Study of Biceps Brachii.

Muscle activity estimation through surface EMG analysis during salat

Differential activation of the biceps brachii heads in normal subjects

Analysis of surface EMG signals in biceps curls using maximum singular value estimation

Biceps Brachii Muscle Innervation Zone Location in Healthy Subjects Using High-Density Surface Electromyography

Variability in surface electromyography of right arm biceps brachii muscles between male adolescent, vicenarian and tricenarian with distinct electrode placement

A study on surface EMG generation model and its extraction

Analysis of surface EMG signals during dynamic contraction using Lempel-Ziv complexity

Analysis of surface Electromyography signals using ZAM based quadratic time frequency distribution

A mathematical approach to determine the work-done from EMG analysis

Similar Documents

Spatial Dependence of Log-Transformed Electromyography-Force Relation: Model-Based Sensitivity Analysis and Experimental Study of Biceps Brachii.

Muscle activity estimation through surface EMG analysis during salat

Differential activation of the biceps brachii heads in normal subjects

Analysis of surface EMG signals in biceps curls using maximum singular value estimation

Biceps Brachii Muscle Innervation Zone Location in Healthy Subjects Using High-Density Surface Electromyography

Variability in surface electromyography of right arm biceps brachii muscles between male adolescent, vicenarian and tricenarian with distinct electrode placement

A study on surface EMG generation model and its extraction

Analysis of surface EMG signals during dynamic contraction using Lempel-Ziv complexity

Analysis of surface Electromyography signals using ZAM based quadratic time frequency distribution

A mathematical approach to determine the work-done from EMG analysis