Publication:
Implementation of an IoT Cloud-based Elderly Care Health Monitoring Dashboard

dc.contributor.authorAzizan A.en_US
dc.contributor.authorDin N.M.en_US
dc.contributor.authorDzaki D.R.M.en_US
dc.contributor.authorKadir A.D.I.A.en_US
dc.contributor.authorShafie N.en_US
dc.contributor.authorid15130531400en_US
dc.contributor.authorid9335429400en_US
dc.contributor.authorid57427045600en_US
dc.contributor.authorid57426768900en_US
dc.contributor.authorid15021477400en_US
dc.date.accessioned2023-05-29T09:39:40Z
dc.date.available2023-05-29T09:39:40Z
dc.date.issued2022
dc.descriptionDecision making; Health care; Monitoring; Alerting systems; AWS; Cloud-based; Elderly care; Elderly health monitoring; Emergency alerting system; Grafana; Health monitoring; Influxdb; Real-time dashboards; Internet of thingsen_US
dc.description.abstractThe ageing population, defined as those 65 years and above, has increased steadily over the years due to better life longevity contributed by better health services and quality of life. In Malaysia, at least 15% of the population is projected to be above 65 by 2030, hence increasing the needs for the elderly healthcare to be monitored constantly. Elderly care can be facilitated with technology such as the Internet-of-Things (IoT), where remote monitoring of an elderly's health conditions may be realizable. This paper presents the critical design process and methods used in developing a cloud-based IoT monitoring system dashboard for elderly care. The health parameters monitored are heart rate, body temperature, and SpO2. These parameters would provide the general health condition of the elderly person monitored. In addition, an accelerometer sensor is used for fall prediction. Finally, a real-Time dashboard was developed for centralized data collection, decision making and alerting. The system is scalable to cater increasing needs of adding more health tracking nodes (per registered elderly user) meanwhile enabling real time elderly healthcare cloud based monitoring and emergency alerting for Elderly Healthcare System that can be monitored by family members and healthcare practitioners. � 2022 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/ICSSA54161.2022.9870939
dc.identifier.epage154
dc.identifier.scopus2-s2.0-85138673213
dc.identifier.spage150
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85138673213&doi=10.1109%2fICSSA54161.2022.9870939&partnerID=40&md5=1e74c057cdff393c01e7b2e221a7adb8
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/27109
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle4th International Conference on Smart Sensors and Application: Digitalization for Societal Well-Being, ICSSA 2022
dc.titleImplementation of an IoT Cloud-based Elderly Care Health Monitoring Dashboarden_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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