ECG monitoring of cardiac patients at home: experiences with scenarios and signal processing methods

Juho Merilahti; Mark van Gils; Tuula Petäkoski-Hult; Outi Kenttä; Esko Hyvärinen; Jari Hyttinen; Harri Kailanto

2nd International ICST Conference on Pervasive Computing Technologies for Healthcare

Research Article

ECG monitoring of cardiac patients at home: experiences with scenarios and signal processing methods

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@INPROCEEDINGS{10.4108/ICST.PERVASIVEHEALTH2008.2575,
    author={Juho Merilahti and Mark van Gils and Tuula Pet\aa{}koski-Hult and Outi Kentt\aa{} and Esko Hyv\aa{}rinen and Jari Hyttinen and Harri Kailanto},
    title={ECG monitoring of cardiac patients at home: experiences with scenarios and signal processing methods},
    proceedings={2nd International ICST Conference on Pervasive Computing Technologies for Healthcare},
    publisher={IEEE},
    proceedings_a={PERVASIVEHEALTH},
    year={2008},
    month={7},
    keywords={ECG signal processing scenario evaluation cardiac patient},
    doi={10.4108/ICST.PERVASIVEHEALTH2008.2575}
}

Juho Merilahti
Mark van Gils
Tuula Petäkoski-Hult
Outi Kenttä
Esko Hyvärinen
Jari Hyttinen
Harri Kailanto
Year: 2008
ECG monitoring of cardiac patients at home: experiences with scenarios and signal processing methods
PERVASIVEHEALTH
ICST
DOI: 10.4108/ICST.PERVASIVEHEALTH2008.2575

Juho Merilahti¹^,*, Mark van Gils¹^,*, Tuula Petäkoski-Hult¹^,*, Outi Kenttä¹^,*, Esko Hyvärinen²^,*, Jari Hyttinen²^,*, Harri Kailanto²^,*

1: VTT Technical Research Centre of Finland, Tampere, Finland
2: Tampere University of Technology, Ragnar Granit Institute, Tampere, Finland.

*Contact email: juho.merilahti@vtt.fi, mark.vangils@vtt.fi, tuula.Petakoski-hult@vtt.fi, o-kentta@ti.com, esko.hyvarinen@tut.fi, jari.hyttinen@tut.fi, harri.kailanto@tut.fi

Abstract

Controlled cardiac rehabilitation has shown to be an effective and cost-efficient form of treatment. However, it could be supported by technology. We used a scenario-based method to approach the issue and to consider it from the technical perspective. We also tried out signal processing methods in rejection of artifacts and quantization of ECG features from ECG data collected with two different portable recorders. For example correct R-peak detection rates ranged between 98.2% and 99.9% with 5 different tested R-peak detection routines. Conclusions: comments resulted from the scenario work was educative and simple ECG signal processing results promising.

Keywords: ECG signal processing scenario evaluation cardiac patient

Published: 2008-07-22
Publisher: IEEE
Modified: 2010-05-16

: http://dx.doi.org/10.4108/ICST.PERVASIVEHEALTH2008.2575