Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/451594
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dc.date.accessioned2023-01-23T04:16:56Z-
dc.date.available2023-01-23T04:16:56Z-
dc.identifier.urihttp://hdl.handle.net/10603/451594-
dc.description.abstractAs the recent pandemic COVID-19 shakes the whole world, the role of IoT and newlinecloud computing has become significant in the healthcare industry. In IoT based newlinehealthcare applications, wireless body area networks (WBANs) play a critical newlinerole in facilitating accurate, energy-efficient, and cost-effective healthcare facilities. newlineHowever, the wide-scale adoption and deployment of WBAN are hindered newlineby challenges in data management, data vulnerability, and data privacy. Data newlinemanagement becomes an issue due to the need for handling the large volume newlineof data generated by the sensor nodes for continuous monitoring, processing newlineand analysis. The sensitive nature of private health data causes concerns on vulnerability newlineand privacy during wireless transmission and cloud processing. The newlinetwo primary operations that address these challenges are efficient data compression newlineand data security. Most of the compression and security solutions proposed newlinefor networks like wireless sensor networks (WSNs) cannot be directly applied to newlineresource-constrained WBAN. newlineAccording to the world health organization (WHO), cardiovascular disease newline(CVD) is the leading cause of death globally, causing about an estimated 17.9 newlinemillion deaths each year. To reduce the incidence, prevalence, morbidity, and newlinemortality of CVD,WHOjoins hands with countries and various healthcare partners newlineto develop cost-effective and feasible innovations for detecting CVD accurately. newlineThe widely used and inexpensive diagnostic method to investigate CVD is the newlineelectrocardiogram (ECG) monitoring. The ability to acquire, process, and transmit newlineECG in conjunction with the ability to automatically verify and provide decisions newlinebased on the remotely perceived ECG, help the medical practitioners to tackle newlinethe dangers of CVD considerably. newline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleEfficient and secure lightweight system for ecg telemonitoring in wireless body area network
dc.title.alternative
dc.creator.researcherKoya, Aneesh M
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering
dc.subject.keywordEngineering Electrical and Electronic
dc.subject.keyword
dc.subject.keywordSensor networks
dc.description.note
dc.contributor.guideP P, Deepthi
dc.publisher.placeCalicut
dc.publisher.universityNational Institute of Technology Calicut
dc.publisher.institutionDepartment of Electronics and Communication Engineering
dc.date.registered2015
dc.date.completed2021
dc.date.awarded2021
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Electronics and Communication Engineering

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01_title.pdfAttached File105.43 kBAdobe PDFView/Open
02_prelim pages.pdf866.42 kBAdobe PDFView/Open
03_content.pdf111.7 kBAdobe PDFView/Open
04_abstract.pdf70.78 kBAdobe PDFView/Open
05_chapter 1.pdf589.96 kBAdobe PDFView/Open
06_chapter 2.pdf3.32 MBAdobe PDFView/Open
07_chapter 3.pdf2.42 MBAdobe PDFView/Open
08_chapter 4.pdf1.62 MBAdobe PDFView/Open
09_chapter 5.pdf517.14 kBAdobe PDFView/Open
10_chapter 6.pdf774.94 kBAdobe PDFView/Open
11_annexures.pdf124.82 kBAdobe PDFView/Open
80_recommendation.pdf115.12 kBAdobe PDFView/Open


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