QRS Complex Detection Based on Ensemble Empirical Mode Decomposition
| Autor: | Norbert Henzel |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
021110 strategic
defence & security studies Computer science business.industry 0206 medical engineering Detector 0211 other engineering and technologies Pattern recognition 02 engineering and technology Function (mathematics) 020601 biomedical engineering Sample (graphics) Signal Hilbert–Huang transform QRS complex Point (geometry) Artificial intelligence business Fiducial marker |
| Zdroj: | Innovations in Biomedical Engineering ISBN: 9783319471532 |
| DOI: | 10.1007/978-3-319-47154-9_33 |
| Popis: | The principal objective of this project was to investigate the detection of QRS complexes in noisy ECG signals. This study provides a novel approach to the construction of a QRS detector based on the Ensemble Empirical Mode Decomposition. The detection function is based on predicted probability that the current signal sample is a QRS fiducial point. The performances of the proposed method were verified on the MIT-BIH Arrhythmia Database. Results showed that this approach improves the QRS detection accuracy. |
| Databáze: | OpenAIRE |
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