xECG-Beats: an explainable deep transfer learning approach for ECG-based heartbeat classification
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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xECG-Beats: an explainable deep transfer learning approach for ECG-based heartbeat classification ; volume:13 ; number:1 ; day:23 ; month:8 ; year:2024 ; pages:1-13 ; date:12.2024
Network modeling analysis in health informatics and bioinformatics ; 13, Heft 1 (23.8.2024), 1-13, 12.2024
- Creator
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Peimankar, Abdolrahman
Ebrahimi, Ali
Wiil, Uffe Kock
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s13721-024-00481-2
- URN
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urn:nbn:de:101:1-2411120857568.334367205436
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:32 AM CEST
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Associated
- Peimankar, Abdolrahman
- Ebrahimi, Ali
- Wiil, Uffe Kock
- SpringerLink (Online service)
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ECG Beat classification: Impact of linear dependent samples
Multimodal ECG heartbeat classification method based on a convolutional neural network embedded with FCA
Heartbeat detector from ECG and PPG signals based on wavelet transform and upper envelopes
Ischemia classification via ECG using MLP neural networks
Sleep stage classification with ECG and respiratory effort
Automated ECG multi-class classification system based on combining deep learning features with HRV and ECG measures
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Signal Quality Index Estimator for Complex-Lead type ECG beat detectors
Optimization of ECG classification by means of feature selection
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Fast multi-scale feature fusion for ECG heartbeat classification
Delineating QRS detector parameter based ECG-Beat classification
ECG Beat classification: Impact of linear dependent samples
Multimodal ECG heartbeat classification method based on a convolutional neural network embedded with FCA
Heartbeat detector from ECG and PPG signals based on wavelet transform and upper envelopes
Ischemia classification via ECG using MLP neural networks
Sleep stage classification with ECG and respiratory effort
Automated ECG multi-class classification system based on combining deep learning features with HRV and ECG measures
Optimized modelling of maternal ECG beats using the stationary wavelet transform
Signal Quality Index Estimator for Complex-Lead type ECG beat detectors
Optimization of ECG classification by means of feature selection