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A smartphone-based wearable sensors for monitoring real-time physiological data

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dc.contributor.authorLeu, Fang-Yie-
dc.contributor.authorKo, Chia-Yin-
dc.contributor.authorYou, Ilsun-
dc.contributor.authorChoo, Kim-Kwang Raymond-
dc.contributor.authorHo, Chi-Lun-
dc.date.accessioned2021-08-11T12:44:03Z-
dc.date.available2021-08-11T12:44:03Z-
dc.date.issued2018-01-
dc.identifier.issn0045-7906-
dc.identifier.issn1879-0755-
dc.identifier.urihttps://scholarworks.bwise.kr/sch/handle/2021.sw.sch/6335-
dc.description.abstractRecently, Wireless Body Sensor Networks (WBSNs) have been popularly employed to measure people's physiological parameters, particularly for disease monitoring, prevention, and treatment. In this study, we propose a smartphone-based WBSN, named Mobile Physiological Sensor System (MoPSS), which collects users' physiological data with body sensors embedded in a smart shirt. A patient's vital signs are continuously gathered and sent to a smart phone in a real-time manner. The data are then delivered to a remote healthcare cloud via WiFi. After performing necessary classification and analysis, the health information of individual patients is also stored in the cloud, from which authorized medical staffs can retrieve required data to monitor patients' health conditions so that when necessary, caregivers are able to reach the patients as soon as possible and provide required assistance. Our simulations demonstrate that the presented healthcare system provides a better solution for health management. (C) 2017 Elseyier Ltd. All rights reserved.-
dc.format.extent17-
dc.language영어-
dc.language.isoENG-
dc.publisherPergamon Press Ltd.-
dc.titleA smartphone-based wearable sensors for monitoring real-time physiological data-
dc.typeArticle-
dc.publisher.location영국-
dc.identifier.doi10.1016/j.compeleceng.2017.06.031-
dc.identifier.scopusid2-s2.0-85021829690-
dc.identifier.wosid000425074300031-
dc.identifier.bibliographicCitationComputers and Electrical Engineering, v.65, pp 376 - 392-
dc.citation.titleComputers and Electrical Engineering-
dc.citation.volume65-
dc.citation.startPage376-
dc.citation.endPage392-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryComputer Science, Hardware & Architecture-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.subject.keywordPlusHEALTH-
dc.subject.keywordPlusNETWORK-
dc.subject.keywordPlusDESIGN-
dc.subject.keywordAuthorWearable sensors-
dc.subject.keywordAuthorWBSN-
dc.subject.keywordAuthorSmart shirt-
dc.subject.keywordAuthorBluetooth-
dc.subject.keywordAuthorHealthcare cloud-
dc.subject.keywordAuthorMulti-threading-
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