Robust methods for automated selection of cardiac signals after blind source separation
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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In: IEEE Transactions on Biomedical Engineering, 65, 10, S. 2248-2258
- Event
-
Veröffentlichung
- (where)
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Augsburg
- (who)
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Universität Augsburg
- (when)
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2018
- Event
-
Veröffentlichung
- (who)
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Institute of Electrical and Electronics Engineers (IEEE)
- (when)
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2018
- Creator
- DOI
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10.1109/tbme.2017.2788701
- URN
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urn:nbn:de:bvb:384-opus4-996374
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:56 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Wedekind, Daniel
- Kleyko, Denis
- Osipov, Evgeny
- Malberg, Hagen
- Zaunseder, Sebastian
- Wiklund, Urban
- Universität Augsburg
- Institute of Electrical and Electronics Engineers (IEEE)
Time of origin
- 2018
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Automated identification of cardiac signals after blind source separation for camera-based photoplethysmography
Sparse coding of cardiac signals for automated component selection after blind source separation
Assessment of blind source separation techniques for video-based cardiac pulse extraction
Assessment of blind source separation techniques for video-based cardiac pulse extraction
Microwave doppler radar for cardiac and respiratory activity measurement – preliminary results
Impact of cardiac surgery on the autonomic cardiovascular function
Investigation of automated sleep staging from cardiorespiratory signals regarding clinical applicability and robustness
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Mess- und Analyseverfahren für das medizinische Monitoring
Automated identification of cardiac signals after blind source separation for camera-based photoplethysmography
Sparse coding of cardiac signals for automated component selection after blind source separation
Assessment of blind source separation techniques for video-based cardiac pulse extraction
Assessment of blind source separation techniques for video-based cardiac pulse extraction
Microwave doppler radar for cardiac and respiratory activity measurement – preliminary results
Impact of cardiac surgery on the autonomic cardiovascular function
Investigation of automated sleep staging from cardiorespiratory signals regarding clinical applicability and robustness
An open-source framework for stress-testing non-invasive foetal ECG extraction algorithms
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