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Cited 4 time in webofscience Cited 7 time in scopus
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Modeling of On-Chip Biosensor for the in Vivo Diagnosis of Hypertension in Wireless Body Area Networks

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dc.contributor.authorGupta, Shagun-
dc.contributor.authorKakkar, Vipan-
dc.contributor.authorAhmed, Suhaib-
dc.contributor.authorKhanday, Farooq Ahmad-
dc.contributor.authorSharma, Sparsh-
dc.contributor.authorSingh, Saurabh-
dc.contributor.authorYoon, Byungun-
dc.date.accessioned2023-04-27T19:40:56Z-
dc.date.available2023-04-27T19:40:56Z-
dc.date.issued2021-07-
dc.identifier.issn2169-3536-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/5608-
dc.description.abstractHigh Blood Pressure (HBP) over a long period of time leads to a medical condition known as Hypertension (HTN or HT), in which the arterial blood pressure is persistently inflated. In this research, a blood pressure biosensor has been implemented that monitors the different stages of hypertension by measuring the varying blood pressure values. Further, a system design has been proposed for the theranostics (combination of diagnosis and therapy) of hypertension. The proposed sensor takes blood pressure as the input, and gives the corresponding electrical signal variations at the output, so as to detect the exact stage of hypertension. The working principle of this BP sensor is based on the electrostatic transduction mechanism. The proposed system aims to design a low-cost, easily available, implantable lab-on-chip (LoC) platform for the continuous measurement of blood pressure by keeping track of the patient history, so as to prevent chronic hypertensive disorders. Further, such an implantable LoC theranostic platform is among the best possible solutions for the e-healthcare systems, owing to its potential in a wireless body area network (WBAN) using Internet of Things (IoT) and other similar technologies.-
dc.format.extent11-
dc.language영어-
dc.language.isoENG-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.titleModeling of On-Chip Biosensor for the in Vivo Diagnosis of Hypertension in Wireless Body Area Networks-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1109/ACCESS.2021.3094227-
dc.identifier.scopusid2-s2.0-85110411785-
dc.identifier.wosid000673681600001-
dc.identifier.bibliographicCitationIEEE ACCESS, v.9, pp 95072 - 95082-
dc.citation.titleIEEE ACCESS-
dc.citation.volume9-
dc.citation.startPage95072-
dc.citation.endPage95082-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaTelecommunications-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryTelecommunications-
dc.subject.keywordPlusBLOOD-PRESSURE-
dc.subject.keywordPlusSYSTEM-
dc.subject.keywordPlusPERFORMANCE-
dc.subject.keywordPlusFLOW-
dc.subject.keywordPlusAGE-
dc.subject.keywordAuthorBiomedical monitoring-
dc.subject.keywordAuthorMonitoring-
dc.subject.keywordAuthorBlood pressure-
dc.subject.keywordAuthorTransducers-
dc.subject.keywordAuthorDiseases-
dc.subject.keywordAuthorPressure measurement-
dc.subject.keywordAuthorHypertension-
dc.subject.keywordAuthorLab-on-chip-
dc.subject.keywordAuthorimplantable devices-
dc.subject.keywordAuthorhypertension-
dc.subject.keywordAuthorblood pressure biosensor-
dc.subject.keywordAuthorIoT-
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