4th International ICST Conference on Pervasive Computing Technologies for Healthcare

Research Article

HM4All: A vital signs monitoring system based in spatially distributed ZigBee networks

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  • @INPROCEEDINGS{10.4108/ICST.PERVASIVEHEALTH2010.8836,
        author={Helena Fernandez-Lopez and Jose A. Afonso and J. H. Correia and Ricardo Simoes},
        title={HM4All: A vital signs monitoring system based in spatially distributed ZigBee networks},
        proceedings={4th International ICST Conference on Pervasive Computing Technologies for Healthcare},
        proceedings_a={PERVASIVEHEALTH},
        year={2010},
        month={6},
        keywords={HM4All; Vital signals monitoring; ZigBee; wirelesssensor networks.},
        doi={10.4108/ICST.PERVASIVEHEALTH2010.8836}
    }
    
  • Helena Fernandez-Lopez
    Jose A. Afonso
    J. H. Correia
    Ricardo Simoes
    Year: 2010
    HM4All: A vital signs monitoring system based in spatially distributed ZigBee networks
    PERVASIVEHEALTH
    ICST
    DOI: 10.4108/ICST.PERVASIVEHEALTH2010.8836
Helena Fernandez-Lopez1,*, Jose A. Afonso1,*, J. H. Correia1,*, Ricardo Simoes2,3,*
  • 1: Industrial Electronics Engineering Department, University of Minho, Guimaraes, Portugal
  • 2: Institute of Polymers and Composites, University of Minho, Guimaraes, Portugal
  • 3: Cavado and Ave Polytechnic Institute, Campus do IPCA, 4750-820 Barcelos, Portugal
*Contact email: hlopez@dei.uminho.pt, jose.afonso@dei.uminho.pt, higino.correia@dei.uminho.pt, rsimoes@dep.uminho.pt

Abstract

Low power consumption and small footprint make ZigBee based devices well suited for personal healthcare applications, being a promising alternative to general care patient monitoring. However, their use in a healthcare facility to monitor several mobile patients poses several difficulties, mainly because this protocol was primarily designed to operate in low data rate scenarios. This paper introduces HM4All, a remote vital signs monitoring system, and presents a prototype system being deployed in a hospital internment floor. Its architecture, original network topology, software applications and wireless sensors are described.