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Determination of Muscle Activity and Work-Done Through Emg Analysis During Human Movements in Salat

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dc.contributor.advisor Ahmad, Prof. Dr. Mohiuddin.
dc.contributor.author Khanam, Farzana
dc.date.accessioned 2018-08-08T08:16:47Z
dc.date.available 2018-08-08T08:16:47Z
dc.date.copyright 2016
dc.date.issued 2016-05
dc.identifier.other ID 0000000
dc.identifier.uri http://hdl.handle.net/20.500.12228/195
dc.description This thesis is submitted to the Department of Biomedical Engineering, Khulna University of Engineering & Technology in partial fulfillment of the requirements for the degree of Master of Science in Biomedical Engineering, May 2016. en_US
dc.description Cataloged from PDF Version of Thesis.
dc.description Includes bibliographical references (pages 64-68).
dc.description.abstract In this thesis, human movements during Salat (the ritual prayer of Muslim) are taken in account to observe this muscle movement patterns as exercise. Since surface electromyography (sEMG) is a proven method to observe the muscle activity based on the generated action potential by the muscles, sEMG method is applied to measure the physical activities from different muscles of the different steps of Salat. From these measurements, it has been shown that muscle activity during Salat can perform better exercise than walking in treadmill based on muscle fatigue index. The results specify that during Salat, Biceps Brachii (BB) and Erector Spine (ES) produce improved EMG level for both male and female subjects in opposition to Treadmill exercise. Therefore, the aftermath of this work gives us a message that the person who performs Salat five times in a day is doing exercise of upper limb muscles especially the BB and ES muscles. Furthermore, a modified power spectrum analyzing method is developed. By this proposed method it is proved that mean frequency (MNF) based EMG power spectrum analyzing method is comparatively efficient method than the previously proposed to determine Salat associated muscle fatigue and indices. For finding the relation between work done and corresponding sEMG voltage a number of subjects (male and female) are studied with a known work done and their corresponding sEMG voltages are measured. As a result, some approximate mathematical functions are developed by appropriate curve fitting to relate the work done and corresponding EMG voltage. These mathematical functions are proposed for upper limb (Bicep Bracii) muscle and lower limb (Biceps Femoris and Medial Gastrocnemius) muscle. The estimated relationship between work done and sEMG voltage show minimum error when it actually follows second degree function. Based on the work, it is observed that the functions vary from muscle to muscle which means for upper limb and lower limb the relationships follow different mathematical functions. It is also found that the sEMG voltage generated from muscle undergoes saturation after increasing to a certain work done. At last it can be said so far that this work focuses on human movement in Salat to prove it as a fresh exercise (no muscle fati(Iue) mathematically.In addition with that, analytical techniques are developed to determine its muscle indices and fatigue, as well as mathematical relations are established between work done and corresponding sEMG voltage to observe the work done during Salat. en_US
dc.description.statementofresponsibility Farzana Khanam
dc.format.extent 69 pages
dc.language.iso en_US en_US
dc.publisher Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh. en_US
dc.rights Khulna University of Engineering & Technology (KUET) thesis/ dissertation/internship reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subject Determination of Muscle Activity en_US
dc.subject Human Movements in Salat en_US
dc.subject EMG Analysis en_US
dc.title Determination of Muscle Activity and Work-Done Through Emg Analysis During Human Movements in Salat en_US
dc.type Thesis en_US
dc.description.degree Master of Science in Biomedical Engineering
dc.contributor.department Department of Biomedical Engineering


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