Sparse coding of cardiac signals for automated component selection 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
- Notes
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In: Computing in Cardiology Conference (CinC), volume 43, 11-14 September 2016, Vancouver, BC, Canada, S. 785-788
- Event
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Veröffentlichung
- (where)
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Augsburg
- (who)
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Universität Augsburg
- (when)
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2016
- Event
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Veröffentlichung
- (who)
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Computing in Cardiology
- (when)
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2016
- Creator
- DOI
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10.22489/cinc.2016.226-413
- URN
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urn:nbn:de:bvb:384-opus4-998619
- Rights
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Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:43 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
- Computing in Cardiology
Time of origin
- 2016
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Mess- und Analyseverfahren für das medizinische Monitoring
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Microwave doppler radar for cardiac and respiratory activity measurement – preliminary results
Impact of cardiac surgery on the autonomic cardiovascular function
Robust methods for automated selection of cardiac signals after blind source separation
Assessment of blind source separation techniques for video-based cardiac pulse extraction
Automated identification of cardiac signals after blind source separation for camera-based photoplethysmography
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Adaptive Gaussian mixture model driven level set segmentation for remote pulse rate detection
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Assessment of blind source separation techniques for video-based cardiac pulse extraction
Mess- und Analyseverfahren für das medizinische Monitoring
Cascaded output selection for processing of capacitive electrocardiograms by means of independent component analysis
Microwave doppler radar for cardiac and respiratory activity measurement – preliminary results
Impact of cardiac surgery on the autonomic cardiovascular function
Robust methods for automated selection of cardiac signals after blind source separation
Assessment of blind source separation techniques for video-based cardiac pulse extraction
Automated identification of cardiac signals after blind source separation for camera-based photoplethysmography
Data-based Therapy Recommender Systems
Adaptive Gaussian mixture model driven level set segmentation for remote pulse rate detection
CinC challenge - assessing the usability of ECG by ensemble decision trees
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