Towards reconstruction quality of biosignals from its compressive measurements for wban based health monitoring environment a deep learning approach

dc.contributor.guideRajakumar,G
dc.coverage.spatialTowards reconstruction quality of biosignals from its compressive measurements for wban based health monitoring environment a deep learning approach
dc.creator.researcherEvangelin,D
dc.date.accessioned2023-10-20T09:20:39Z
dc.date.available2023-10-20T09:20:39Z
dc.date.awarded2023
dc.date.completed2023
dc.date.registered
dc.description.abstractiii newlineABSTRACT newlineMiniaturized sensors equipped with wireless communication and newlinesensing technologies are becoming more common due to the rapid newlineimprovements in wireless communication and micro-electromechanical newlinesystem-based sensor technology. Due to this mechanism, health care newlineorganization is highly benefitted from this technology. The electrical impulses newlineof a specific human organ can be detected by this miniature sensor, which can newlinethen communicate the information to another device. So, the elderly and newlinechronically ill can be treated instantly and can get health tip at their doorsteps newlinethrough sensor based wearable system. Wireless wearable device plays an newlineimportant role in sensor based wearable technology as it is responsible for newlinecollecting, processing and transmitting to the remote clinician throughout the newlineday. Since the wearables are miniaturized in nature, its battery has been newlineconstrained to the energy level. So, this prolonged monitoring may decline newlinebattery life of wearable device. newline
dc.description.note
dc.format.accompanyingmaterialDVD
dc.format.dimensions21cm
dc.format.extentxxii, 133p.
dc.identifier.urihttp://hdl.handle.net/10603/519225
dc.languageEnglish
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.relationp.118-132.
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordAutoencoder
dc.subject.keywordCompressed Sensing
dc.subject.keywordInformation And Communication Engineering
dc.titleTowards reconstruction quality of biosignals from its compressive measurements for wban based health monitoring environment a deep learning approach
dc.title.alternative
dc.type.degreePh.D.

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