2nd International ICST Conference on Pervasive Computing Technologies for Healthcare

Research Article

Ambulatory monitor derived clinical measures for continuous assessment of cardiac rehabilitation patients in a community care model

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  • @INPROCEEDINGS{10.4108/ICST.PERVASIVEHEALTH2008.2544,
        author={Niranjan  Bidargaddi and Antti  Sarela},
        title={Ambulatory monitor derived clinical measures for continuous assessment of cardiac rehabilitation patients in a community care model},
        proceedings={2nd International ICST Conference on Pervasive Computing Technologies for Healthcare},
        publisher={IEEE},
        proceedings_a={PERVASIVEHEALTH},
        year={2008},
        month={7},
        keywords={Accelerometers Cardiovascular diseases Electrocardiography Heart rate Heart rate measurement Hospitals Medical services Patient monitoring Remote monitoring Testing},
        doi={10.4108/ICST.PERVASIVEHEALTH2008.2544}
    }
    
  • Niranjan Bidargaddi
    Antti Sarela
    Year: 2008
    Ambulatory monitor derived clinical measures for continuous assessment of cardiac rehabilitation patients in a community care model
    PERVASIVEHEALTH
    ICST
    DOI: 10.4108/ICST.PERVASIVEHEALTH2008.2544
Niranjan Bidargaddi1,*, Antti Sarela1,*
  • 1: CSIRO ICT Centre (E-Health Research Centre lab), P O Box 10842, Level 20, 300 Adelaide Street, Brisbane 4000, QLD, Australia
*Contact email: Niranjan.Bidargaddi@csiro.au, Antti.Sarela@csiro.au

Abstract

Ambulatory monitoring tools provide a means for continuous assessment of patients compared to hospital based tools. Continuous physiological information such as ECG, heart rate, activity profile and energy expenditure can be derived from a single waist mounted activity monitor. This information when translated into clinically relevant measures, not only reflects patients condition in a similar way as convention tools but also shows the continuous status of functional capacity. In this paper, various such clinically relevant measures which can be derived from acceleration and ECG signals are described.