- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
In: Computing in Cardiology Conference (CinC), volume 47, 13-16 September 2020, Rimini, Italy, S. 1-4
- Event
-
Veröffentlichung
- (where)
-
Augsburg
- (who)
-
Universität Augsburg
- (when)
-
2020
- Event
-
Veröffentlichung
- (who)
-
Computing in Cardiology
- (when)
-
2020
- Creator
- DOI
-
10.22489/cinc.2020.105
- URN
-
urn:nbn:de:bvb:384-opus4-996197
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:48 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
- Goldammer, Miriam
- Zaunseder, Sebastian
- Malberg, Hagen
- Gräßer, Felix
- Universität Augsburg
- Computing in Cardiology
Time of origin
- 2020
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Mess- und Analyseverfahren für das medizinische Monitoring
Investigation of automated sleep staging from cardiorespiratory signals regarding clinical applicability and robustness
Nocturnal ventricular repolarization lability predicts cardiovascular mortality in the Sleep Heart Health Study
Feature selection for sleep analysis using heart rate variability and fMRI functional connectivity
Heart beat detection and analysis from videos
Non-invasive fetal ECG signal quality assessment for multichannel heart rate estimation
Heart rate from face videos under realistic conditions for advanced driver monitoring
Local group invariance for heart rate estimation from face videos in the wild
Improved heart rate detection for camera-based photoplethysmography by means of Kalman filtering
Unobtrusive acquisition of cardiorespiratory signals: available techniques and perspectives for sleep medicine
Individualized sleep stage classification from cardiorespiratory features
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Mess- und Analyseverfahren für das medizinische Monitoring
Investigation of automated sleep staging from cardiorespiratory signals regarding clinical applicability and robustness
Nocturnal ventricular repolarization lability predicts cardiovascular mortality in the Sleep Heart Health Study
Feature selection for sleep analysis using heart rate variability and fMRI functional connectivity
Heart beat detection and analysis from videos
Non-invasive fetal ECG signal quality assessment for multichannel heart rate estimation
Heart rate from face videos under realistic conditions for advanced driver monitoring
Local group invariance for heart rate estimation from face videos in the wild
Improved heart rate detection for camera-based photoplethysmography by means of Kalman filtering
Unobtrusive acquisition of cardiorespiratory signals: available techniques and perspectives for sleep medicine
Individualized sleep stage classification from cardiorespiratory features