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

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

1 Citation (Scopus)

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.
Original languageEnglish
Title of host publication2008 Second International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth). Tampere, Finland, 30 Jan. - 1 Feb. 2008
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages281 - 284
ISBN (Print)978-963-9799-15-8
DOIs
Publication statusPublished - 2008
MoE publication typeA4 Article in a conference publication

Fingerprint

Electrocardiography
Signal processing
Monitoring
Quantization (signal)
Patient rehabilitation
Costs

Keywords

  • ECG
  • signal processing
  • scenario evaluation
  • cardiac patient

Cite this

Merilahti, J., van Gils, M., Petäkoski-Hult, T., Kenttä, O., Hyvärinen, E., Hyttinen, J., & Kailanto, H. (2008). ECG monitoring of cardiac patients at home: experiences with scenarios and signal processing methods. In 2008 Second International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth). Tampere, Finland, 30 Jan. - 1 Feb. 2008 (pp. 281 - 284). IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/PCTHEALTH.2008.4571091
Merilahti, Juho ; van Gils, Mark ; Petäkoski-Hult, Tuula ; Kenttä, Outi ; Hyvärinen, Esko ; Hyttinen, Jari ; Kailanto, Harri. / ECG monitoring of cardiac patients at home: experiences with scenarios and signal processing methods. 2008 Second International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth). Tampere, Finland, 30 Jan. - 1 Feb. 2008. IEEE Institute of Electrical and Electronic Engineers , 2008. pp. 281 - 284
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Merilahti, J, van Gils, M, Petäkoski-Hult, T, Kenttä, O, Hyvärinen, E, Hyttinen, J & Kailanto, H 2008, ECG monitoring of cardiac patients at home: experiences with scenarios and signal processing methods. in 2008 Second International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth). Tampere, Finland, 30 Jan. - 1 Feb. 2008. IEEE Institute of Electrical and Electronic Engineers , pp. 281 - 284. https://doi.org/10.1109/PCTHEALTH.2008.4571091

ECG monitoring of cardiac patients at home: experiences with scenarios and signal processing methods. / Merilahti, Juho; van Gils, Mark; Petäkoski-Hult, Tuula; Kenttä, Outi; Hyvärinen, Esko; Hyttinen, Jari; Kailanto, Harri.

2008 Second International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth). Tampere, Finland, 30 Jan. - 1 Feb. 2008. IEEE Institute of Electrical and Electronic Engineers , 2008. p. 281 - 284.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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AB - 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.

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Merilahti J, van Gils M, Petäkoski-Hult T, Kenttä O, Hyvärinen E, Hyttinen J et al. ECG monitoring of cardiac patients at home: experiences with scenarios and signal processing methods. In 2008 Second International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth). Tampere, Finland, 30 Jan. - 1 Feb. 2008. IEEE Institute of Electrical and Electronic Engineers . 2008. p. 281 - 284 https://doi.org/10.1109/PCTHEALTH.2008.4571091