A Study on Variation in EMG Trends under Different Muscular Energy Condition for Repeated Isokinetic Dumbbell Curl Exercise

Rushda Basir Ahmad; Nadeem Ahmad Khan; Muhammad Usama Usama Rizwan

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Paper

A Study on Variation in EMG Trends under Different Muscular Energy Condition for Repeated Isokinetic Dumbbell Curl Exercise

Topics: Frequency Analysis & Wavelet Transform; Medical Signal Acquisition, Analysis and Processing; Physiological Processes and Biosignal Modeling, Non-Linear Dynamics

In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSTEC, 141-148, 2020 , Valletta, Malta

Authors: Rushda Basir Ahmad ; Nadeem Ahmad Khan and Muhammad Usama Usama Rizwan

Affiliation: Department of Electrical Engineering, Lahore University of Management Sciences, Lahore, Pakistan

Keyword(s): EMG, Fatigue, Mean Power Frequency, Time Analysis, Muscle Condition.

Abstract: Quantification and detection of accumulated muscle fatigue to assess muscle condition is of pivotal importance in sports and injury prevention. Existing research on assessment of exercise-induced muscle fatigue provides information regarding change in EMG waveform of the muscle during a single set of exercise performed. However, currently there is no study which discusses the variation in EMG activity of same subject under different muscle conditions when the exercise is repeated at constant force level. This paper investigates the changes in muscular energy under different conditions using endurance time, mean power frequency (MPF) and integrated EMG (IEMG) as metrics. This paper presents an initial study on EMG data acquired from subjects subjected to repeated isokinetic contractions. The aim of the study is to focus on inter-subject and intra-subject variations in EMG data. Such studies are very limited. Most of the studies focus on isometric contraction and make use of average da ta of the subjects from which data is collected once per protocol. Such reports do not bring forward the inter-subject and intra-subject variability. Because of huge variability, this study does not validate use of Global Fatigue Index for determination of muscle force and fatigue. Study of this variability is important if any autonomous system is developed for individuals using the EMG data that can accurately make detection and prediction on individual basis. Moreover this study suggests, peak MPF value and average slope of MPF curve during transition to fatigue stage as useful features to predict remaining time to fatigue till failure point. (More)

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Paper citation in several formats:

Ahmad, R.; Khan, N. and Usama Rizwan, M. (2020). A Study on Variation in EMG Trends under Different Muscular Energy Condition for Repeated Isokinetic Dumbbell Curl Exercise. In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - BIOSIGNALS; ISBN 978-989-758-398-8; ISSN 2184-4305, SciTePress, pages 141-148. DOI: 10.5220/0008853001410148

@conference{biosignals20,
author={Rushda Basir Ahmad. and Nadeem Ahmad Khan. and Muhammad Usama {Usama Rizwan}.},
title={A Study on Variation in EMG Trends under Different Muscular Energy Condition for Repeated Isokinetic Dumbbell Curl Exercise},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - BIOSIGNALS},
year={2020},
pages={141-148},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008853001410148},
isbn={978-989-758-398-8},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - BIOSIGNALS
TI - A Study on Variation in EMG Trends under Different Muscular Energy Condition for Repeated Isokinetic Dumbbell Curl Exercise
SN - 978-989-758-398-8
IS - 2184-4305
AU - Ahmad, R.
AU - Khan, N.
AU - Usama Rizwan, M.
PY - 2020
SP - 141
EP - 148
DO - 10.5220/0008853001410148
PB - SciTePress