Wireless body region networks abnormality identification and energy saving a study

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dc.contributor.authorAl-Sabti, Saif Mohamed Baraa
dc.contributor.authorAbdulateef, Alaa Amjed
dc.contributor.authorAtilla, Çağdaş
dc.contributor.authorMohammed, Alaa Hamid
dc.date.accessioned2021-05-15T12:49:37Z
dc.date.available2021-05-15T12:49:37Z
dc.date.issued2020
dc.departmentMühendislik ve Doğa Bilimleri Fakültesi, Elektrik ve Bilgisayar Mühendisliği Bölümüen_US
dc.description4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 -- 22 October 2020 through 24 October 2020 -- -- 165025
dc.description.abstractCurrent advances in wireless body networking technologies help to escape any of the healthcare industry-related problems. Wearable biomedical devices and their related innovations are in vogue lately, with constant health surveillance being mandatory for many chronic patients. Energy conservation is critical in wireless body area networks (WBANs) since the sensor nodes are energy constraint devices. Energy conservation through data reduction approaches in WBANs is a comparatively less explored area in which the detection of probabilistic anomaly models is becoming inevitable for the prevention of serious health problems. This paper reviews wireless body area networks for anomaly detection in various applications and discusses how models can be made for the energy conservation of WBAN devices. © 2020 IEEE.en_US
dc.identifier.doi10.1109/ISMSIT50672.2020.9254481
dc.identifier.isbn9781728190907
dc.identifier.scopus2-s2.0-85097670816
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/ISMSIT50672.2020.9254481
dc.identifier.urihttps://hdl.handle.net/20.500.12939/1077
dc.indekslendigikaynakScopus
dc.institutionauthorAl-Sabti, Saif Mohamed Baraa
dc.institutionauthorAtilla, Çağdaş
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 - Proceedings
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCoordinator Node (CN).en_US
dc.subjectNetwork Manager (NM)en_US
dc.subjectRadio Frequency (RF)en_US
dc.subjectWireless Body Area Networks (WBANs)en_US
dc.titleWireless body region networks abnormality identification and energy saving a study
dc.typeConference Object

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