Classification of Electromyography Signals Using Soft Computing Techniques

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dc.contributor.guideThomas George S
dc.coverage.spatial
dc.creator.researcherShobha Jose
dc.date.accessioned2023-08-25T11:22:49Z
dc.date.available2023-08-25T11:22:49Z
dc.date.awarded2023
dc.date.completed2022
dc.date.registered2016
dc.description.abstractnewline
dc.description.note
dc.format.accompanyingmaterialDVD
dc.format.dimensionsA4
dc.format.extent136 pages
dc.identifier.urihttp://hdl.handle.net/10603/508751
dc.languageEnglish
dc.publisher.institutionDepartment of Electronics and Communication Engineering
dc.publisher.placeCoimbatore
dc.publisher.universityKarunya University
dc.relation
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.titleClassification of Electromyography Signals Using Soft Computing Techniques
dc.title.alternative
dc.type.degreePh.D.

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