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Hannes Ernst
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2020 – today
- 2023
- [c10]Hannes Ernst, Hagen Malberg, Martin Schmidt:
Automatic Detection of Acute Mental Stress With Camera-based Photoplethysmography. CinC 2023: 1-4 - [c9]Marc Goettling, Richard Hohmuth, Franz Ehrlich, Hannes Ernst, Alexander Hammer, Matthieu Scherpf, Martin Schmidt:
Assessing Brain Dynamics for Predicting Postanoxic Coma Recovery: An EEG Based Approach. CinC 2023: 1-4 - [c8]Richard Hohmuth, Hannes Ernst, Hagen Malberg, Martin Schmidt:
Autonomic Regulation During Acute Mental Stress Is Characterized by Dynamic Interactions. CinC 2023: 1-4 - [c7]Fatima El-Hamad, Hannes Ernst, Martin Schmidt, Sobhan Salari Shahrbabaki, Mathias Baumert:
Contributors to beat-to-beat stroke volume variability during acute mental stress in healthy volunteers. EMBC 2023: 1-4 - 2022
- [c6]Hannes Ernst, Hagen Malberg, Martin Schmidt:
Non-contact Measurement of Respiration Rate with Camera-based Photoplethysmography During Rest and Mental Stress. CinC 2022: 1-4 - 2021
- [j1]Hannes Ernst, Matthieu Scherpf, Hagen Malberg, Martin Schmidt:
Optimal color channel combination across skin tones for remote heart rate measurement in camera-based photoplethysmography. Biomed. Signal Process. Control. 68: 102644 (2021) - [c5]Hannes Ernst, Sebastian Pannasch, Jens R. Helmert, Hagen Malberg, Martin Schmidt:
Cardiovascular Effects of Mental Stress in Healthy Volunteers. CinC 2021: 1-4 - [c4]Alexander Hammer, Matthieu Scherpf, Hannes Ernst, Jonas Weiß, Daniel Schwensow, Martin Schmidt:
Automatic Classification of Full- and Reduced-Lead Electrocardiograms Using Morphological Feature Extraction. CinC 2021: 1-4 - [c3]Matthieu Scherpf, Hannes Ernst, Leo Misera, Hagen Malberg, Martin Schmidt:
Skin Segmentation for Imaging Photoplethysmography Using a Specialized Deep Learning Approach. CinC 2021: 1-4 - 2020
- [c2]Hannes Ernst, Hagen Malberg, Martin Schmidt:
More Reliable Remote Heart Rate Measurement by Signal Quality Indexes. CinC 2020: 1-4 - [c1]Matthieu Scherpf, Hannes Ernst, Hagen Malberg, Martin Schmidt:
DeepPerfusion: Camera-based Blood Volume Pulse Extraction Using a 3D Convolutional Neural Network. CinC 2020: 1-4
Coauthor Index
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