More Reliable Remote Heart Rate Measurement by Signal Quality Indexes. - Hannes Ernst; Hagen Malberg; Martin Schmidt 004 (CinC, 2020)

DeepPerfusion: Camera-based Blood Volume Pulse Extraction Using a 3D Convolutional Neural Network. - Matthieu Scherpf; Hannes Ernst; Hagen Malberg; Martin Schmidt 004 (CinC, 2020)

Cardiovascular Effects of Mental Stress in Healthy Volunteers. - Hannes Ernst; Sebastian Pannasch; Jens R. Helmert; Hagen Malberg; Martin Schmidt 004 (CinC, 2021)

Automatic Classification of Full- and Reduced-Lead Electrocardiograms Using Morphological Feature Extraction. - Alexander Hammer; Matthieu Scherpf; Hannes Ernst; Jonas Weiß; Daniel Schwensow; Martin Schmidt 004 (CinC, 2021)

Skin Segmentation for Imaging Photoplethysmography Using a Specialized Deep Learning Approach. - Matthieu Scherpf; Hannes Ernst; Leo Misera; Hagen Malberg; Martin Schmidt 004 (CinC, 2021)

Optimal color channel combination across skin tones for remote heart rate measurement in camera-based photoplethysmography. - Hannes Ernst; Matthieu Scherpf; Hagen Malberg; Martin Schmidt 004 (Biomed. Signal Process. Control., 2021)

Non-contact Measurement of Respiration Rate with Camera-based Photoplethysmography During Rest and Mental Stress. - Hannes Ernst; Hagen Malberg; Martin Schmidt 004 (CinC, 2022)

Automatic Detection of Acute Mental Stress With Camera-based Photoplethysmography. - Hannes Ernst; Hagen Malberg; Martin Schmidt 004 (CinC, 2023)

Assessing Brain Dynamics for Predicting Postanoxic Coma Recovery: An EEG Based Approach. - Marc Goettling; Richard Hohmuth; Franz Ehrlich; Hannes Ernst; Alexander Hammer; Matthieu Scherpf; Martin Schmidt 004 (CinC, 2023)

Autonomic Regulation During Acute Mental Stress Is Characterized by Dynamic Interactions. - Richard Hohmuth; Hannes Ernst; Hagen Malberg; Martin Schmidt 004 (CinC, 2023)

Contributors to beat-to-beat stroke volume variability during acute mental stress in healthy volunteers. - Fatima El-Hamad; Hannes Ernst; Martin Schmidt 004; Sobhan Salari Shahrbabaki; Mathias Baumert (EMBC, 2023)

DeepPerfusion: A comprehensible two-branched deep learning architecture for high-precision blood volume pulse extraction based on imaging photoplethysmography. - Matthieu Scherpf; Hannes Ernst; Hagen Malberg; Martin Schmidt 004 (Comput. Biol. Medicine, 2025)