Muscle strength evaluation and grading using surface electromyogram signals for functional assessment of the musculoskeletal system

dc.contributor.guidePoonguzhali S
dc.coverage.spatialMuscle strength evaluation and grading using surface electromyogram signals for functional assessment of the musculoskeletal system
dc.creator.researcherSaranya S
dc.date.accessioned2022-12-12T08:23:39Z
dc.date.available2022-12-12T08:23:39Z
dc.date.awarded2021
dc.date.completed2021
dc.date.registered
dc.description.abstractMuscle strength evaluation and grading is an important assessment of the neuro-muscular functions followed routinely for pre-clinical diagnosis or for post rehabilitative evaluation of patients. Worldwide, about 150 million people suffer from musculoskeletal disorders, forming the fourth largest contributor of global burden of disease. High BMI and physical inactivity are identified as the major reasons contributing to chronic conditions like diabetes, cardiovascular and musculoskeletal disorders (IHME -WHO, 2017). Muscle strength is defined as the inherent ability of the muscle to develop tension and consequently produce force against a resistive load offered by a tester in one maximal effort. The current methods of muscle strength testing involve Manual muscle testing (MMT), or dynamometry based methods where, the former grades muscle strength on a 0-5 point (Medical research council, MRC) ordinal scale while the latter quantifies muscle strength in terms of measured force. MMT is highly subjective and assigning grades greater than 3 (4-, 4, 4+ and 5) involves identifying fine variations in strength based on the amount of resistive force offered. Dynamometers in turn require the need for a large normative database, since force measurements are absolute with no direct reference to strength and weakness of muscles. The ambiguity in current muscle strength measurement techniques has led to the interest of researchers and healthcare practitioners to look for a more standard and reliable technique to evaluate muscle strength. newline
dc.description.note
dc.format.accompanyingmaterialNone
dc.format.dimensions21cm
dc.format.extentxx,193p.
dc.identifier.urihttp://hdl.handle.net/10603/424624
dc.languageEnglish
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.relationp.172-192
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering
dc.subject.keywordEngineering Electrical and Electronic
dc.subject.keywordMuscle Strength
dc.subject.keywordMuscle Strength Evaluation
dc.subject.keywordElectromyogram Signal
dc.subject.keywordMusculoskeletal System
dc.titleMuscle strength evaluation and grading using surface electromyogram signals for functional assessment of the musculoskeletal system
dc.title.alternative
dc.type.degreePh.D.

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