IoT 16(8): e3

Research Article

Internet of Things Enabled In-Home Health Monitoring System Using Early Warning Score

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  • @ARTICLE{10.4108/eai.14-10-2015.2261616,
        author={Arman Anzanpour and Amir-Mohammad Rahmani and Pasi Liljeberg and Hannu Tenhunen},
        title={Internet of Things Enabled In-Home Health Monitoring System Using Early Warning Score},
        journal={EAI Endorsed Transactions on Internet of Things},
        volume={2},
        number={8},
        publisher={ACM},
        journal_a={IOT},
        year={2015},
        month={12},
        keywords={early warning score, internet of things, wearable electronics, wireless sensor network, body area network, remote patient monitoring},
        doi={10.4108/eai.14-10-2015.2261616}
    }
    
  • Arman Anzanpour
    Amir-Mohammad Rahmani
    Pasi Liljeberg
    Hannu Tenhunen
    Year: 2015
    Internet of Things Enabled In-Home Health Monitoring System Using Early Warning Score
    IOT
    EAI
    DOI: 10.4108/eai.14-10-2015.2261616
Arman Anzanpour1,*, Amir-Mohammad Rahmani2, Pasi Liljeberg1, Hannu Tenhunen2
  • 1: University of Turku, Finland
  • 2: University of Turku, Finland & KTH Royal Institute of Technology, Sweden
*Contact email: armanz@utu.fi

Abstract

Early warning score (EWS) is an approach to detect the deterioration of a patient. It is based on a fact that there are several changes in the physiological parameters prior a clinical deterioration of a patient. Currently, EWS procedure is mostly used for in-hospital clinical cases and is performed in a manual paper-based fashion. In this paper, we propose an automated EWS health monitoring system to intelligently monitor vital signs and prevent health deterioration for in-home patients using Internet-of-Things (IoT) technologies. IoT enables our solution to provide a real-time 24/7 service for health professionals to remotely monitor in-home patients via Internet and receive notifications in case of emergency. We also demonstrate a proof-of-concept EWS system where continuous reading, transferring, recording, and processing of vital signs have been implemented.