Feature fusion based algorithms for classiand#64257;cation of neuromuscular disorders using emg signals

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dc.contributor.guideBarthakur, Mausumi
dc.coverage.spatialEngineering Electrical and Electronic
dc.creator.researcherHazarika, Anil
dc.date.accessioned2020-03-31T02:54:53Z
dc.date.available2020-03-31T02:54:53Z
dc.date.awardedn.d.
dc.date.completed2019
dc.date.registeredn.d.
dc.description.abstractfile arrached
dc.description.notebibliography 98-111
dc.format.accompanyingmaterialNone
dc.format.dimensions-
dc.format.extentp. 114
dc.identifier.urihttp://hdl.handle.net/10603/286717
dc.languageEnglish
dc.publisher.institutionDepartment of Electronics and Comm. Engineering
dc.publisher.placeTezpur
dc.publisher.universityTezpur University
dc.relation-
dc.rightsuniversity
dc.source.inflibnetINFLIBNET
dc.subject.keywordAlgorithms
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.subject.keywordNeuromuscular
dc.titleFeature fusion based algorithms for classiand#64257;cation of neuromuscular disorders using emg signals
dc.title.alternative-
dc.type.degreePh.D.

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