Gilián, Zoltán (2016) ECG-based heart beat detection using rational functions. ACTA MATHEMATICA ACADEMIAE PAEDAGOGICAE NYÍREGYHÁZIENSIS, 32 (2). pp. 327-333. ISSN 0866-0174
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Abstract
The aim of this paper is to present a novel heart beat detection algorithm using rational modelling of ECG signals. The algorithm considers several candidate beat locations. For a given candidate a rational model is fitted to the ECG signal by means of numerical optimization and Fourier partial sums with respect to the Malmquist-Takenaka system. The resultant model parameters are used as a basis of classification. The classification is performed by an SVM classifier, which is trained on annotated ECG records of the PhysioNet database.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Rational model, Malmquist-Takenaka system, Fourier partial sum |
| Subjects: | Q Science / természettudomány > QA Mathematics / matematika |
| SWORD Depositor: | MTMT SWORD |
| Depositing User: | MTMT SWORD |
| Date Deposited: | 06 Feb 2024 11:55 |
| Last Modified: | 06 Feb 2024 11:55 |
| URI: | http://real.mtak.hu/id/eprint/187680 |
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