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Online Model-Based Beat-by-beat Heart Rate Estimation
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology. (Embedded systems)ORCID iD: 0000-0002-9945-2650
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control.ORCID iD: 0000-0002-6608-250x
2020 (English)In: 2020 American Control Conference (ACC), 2020, p. 539-544Conference paper, Published paper (Refereed)
Abstract [en]

A method for estimating the instantaneous heart rate (HR) using the morphological features of one electrocardiogram (ECG) cycle (beat) at a time is proposed. This work is not aimed at introducing an alternative way for HR estimation, but rather illustrates the utility of model-based ECG analysis in online individualized monitoring of the heart function. The HR estimation problem is reduced to fitting one parameter, whose value is related to the nine parameters of a realistic nonlinear model of the ECG and estimated from data by nonlinear least-squares optimization. The method feasibility is evaluated on synthetic ECG signals as well as signals acquired from MIT-BIH databases at Physionet website. Moreover, the performance of the method was tested under realistic free-moving conditions using a wearable ECG and HR monitor with encouraging results.

Place, publisher, year, edition, pages
2020. p. 539-544
Series
Proceedings of the American Control Conference, ISSN 0743-1619, E-ISSN 2378-5861
National Category
Cardiac and Cardiovascular Systems Computer Sciences
Identifiers
URN: urn:nbn:se:uu:diva-437320DOI: 10.23919/ACC45564.2020.9147283ISI: 000618079800080ISBN: 978-1-5386-8266-1 (electronic)ISBN: 978-1-5386-8267-8 (print)ISBN: 978-1-5386-8265-4 (electronic)OAI: oai:DiVA.org:uu-437320DiVA, id: diva2:1536384
Conference
American Control Conference (ACC), JUL 01-03, 2020, Denver, CO, USA
Available from: 2021-03-10 Created: 2021-03-10 Last updated: 2023-10-31Bibliographically approved

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Albaba, AdnanMedvedev, Alexander

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CiteExportLink to record
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  • apa
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