Improving ECG beats delineation with an evolutionary optimization process
| Autor: | Guy Carrault, Jérôme Dumont, Alfredo Hernandez |
|---|---|
| Přispěvatelé: | Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), This work has been partly supported by the ECOS-NORD cooperation program, action number V03S03, Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Senhadji, Lotfi |
| Jazyk: | angličtina |
| Rok vydání: | 2010 |
| Předmět: |
Computer science
[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing 0206 medical engineering Biomedical Engineering Evolutionary algorithm MESH: Algorithms 02 engineering and technology MESH: Signal Processing Computer-Assisted Evolutionary computation 03 medical and health sciences Electrocardiography Wavelet transforms 0302 clinical medicine [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing Artificial Intelligence Genetic algorithm Humans Cutoff MESH: Artificial Intelligence MESH: Models Genetic Optimization methods [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing [SDV.IB] Life Sciences [q-bio]/Bioengineering Signal processing MESH: Humans Models Genetic Wavelet transform Signal Processing Computer-Assisted [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC] Genetic algorithms 020601 biomedical engineering [SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system MESH: Electrocardiography [SDV.IB]Life Sciences [q-bio]/Bioengineering [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC] Algorithm [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing Algorithms 030217 neurology & neurosurgery |
| Zdroj: | IEEE Transactions on Biomedical Engineering IEEE Transactions on Biomedical Engineering, Institute of Electrical and Electronics Engineers, 2010, 57 (3), pp.607-15. ⟨10.1109/TBME.2008.2002157⟩ IEEE Transactions on Biomedical Engineering, 2010, 57 (3), pp.607-15. ⟨10.1109/TBME.2008.2002157⟩ |
| ISSN: | 0018-9294 |
| DOI: | 10.1109/TBME.2008.2002157⟩ |
| Popis: | International audience; As in other complex signal processing tasks, ECG beat delineation algorithms are usually constituted of a set of processing modules, each one characterized by a certain number of parameters (filter cutoff frequencies, threshold levels, time windows, etc.). It is well recognized that the adjustment of these parameters is a complex task that is traditionally performed empirically and manually, based on the experience of the designer. In this paper, we propose a new automated and quantitative method to optimize the parameters of such complex signal processing algorithms. To solve this multiobjective optimization problem, an evolutionary algorithm (EA) is proposed. This method for parameter optimization is applied to a wavelet-transform-based ECG delineator that has previously shown interesting performance. An evaluation of the final delineator, using the optimal parameters, has been performed on the QT database from Physionet and results are compared with previous algorithms reported in the literature. The optimized parameters provide a more accurate delineation, with a global improvement of 7.7%, over all the criteria evaluated, and over the best results found in the literature, which is a proof of interest in the approach. |
| Databáze: | OpenAIRE |
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