© GRK 2323

Doctoral Researcher

Name

Dipl.-Ing. Hannes Ernst

Send Email

Send encrypted mail via the SecureMail portal (for TUD external users only).

Contact Information

Organization Name

Research Training Group 2323

Research Training Group 2323

Address work

Visiting address:

Institutsgebäude S7A
Raum / Room 205 Georg-Schumann-Str. 7a

01187 Dresden

Show map of this location.

work Tel.

work Tel.

Project

Systems to Assess Stress, Vigilance and Fatigue in Work Contexts

Research interests

• Biomedical signal and image processing
• Non-contact monitoring of cardiovascular vital signs
• Characterization of the human stress response using camera-based photoplethysmography

Short biography

Publications

Accepted: Ernst, H., Malberg, H., & Schmidt, M. (2022b). Non-contact Measurement of Respiration RateWith Camera-based Photoplethysmography During Rest and Mental Stress. 49th Conference Computing in Cardiology (CinC).

Ernst, H., Malberg, H., & Schmidt, M. (2022a). Optimierung der kamerabasierten Photoplethysmographie für die kontaktlose Messung kardiovaskulärer Parameter. Innovative Verarbeitung bioelektrischer und biomagnetischer Signale.

Hammer, A., Scherpf, M., Schmidt, M., Ernst, H., Malberg, H., Matschke, K., Dragu, A., Martin, J., & Bota, O. (2022). Camera-based assessment of cutaneous perfusion strength in a clinical setting. Physiological Measurement, 43(2), 025007. https://doi.org/10.1088/1361-6579/ac557d

Ernst, H., Pannasch, S., Helmert, J. R., Malberg, H., & Schmidt, M. (2021). Cardiovascular Effects of Mental Stress in Healthy Volunteers. 48th Conference Computing in Cardiology (CinC), 1–4. https://doi.org/10.23919/CinC53138.2021.9662842

Scherpf, M., Ernst, H., Misera, L., Malberg, H., & Schmidt, M. (2021). Skin Segmentation for Imaging Photoplethysmography Using a Specialized Deep Learning Approach. 48th Conference Computing in Cardiology (CinC), 1–4. https://doi.org/10.23919/CinC53138.2021.9662682

Hammer, A., Scherpf, M., Ernst, H., Weiss, J., Schwensow, D., & Schmidt, M. (2021). Automatic Classification of Full- and Reduced-Lead Electrocardiograms Using Morphological Feature Extraction. 48th Conference Computing in Cardiology (CinC), 1–4. https://doi.org/10.23919/CinC53138.2021.9662797

Ernst, H., Scherpf, M., Malberg, H., & Schmidt, M. (2021b). Pulse Arrival Time - A Sensitive Vital Parameter for the Detection of Mental Stress. Current Directions in Biomedical Engineering, 7(2), 419–422. https://doi.org/10.1515/cdbme-2021-2106

Ernst, H., Scherpf, M., Malberg, H., & Schmidt, M. (2021a). Optimal color channel combination across skin tones for remote heart rate measurement in camera-based photoplethysmography. Biomedical Signal Processing and Control, 68, 102644. https://doi.org/10.1016/j.bspc.2021.102644

Ernst, H., Malberg, H., & Schmidt, M. (2020). More Reliable Remote Heart Rate Measurement by Signal Quality Indexes. 47th Conference Computing in Cardiology (CinC), 1–4. https://doi.org/10.22489/CinC.2020.165

Scherpf, M., Ernst, H., Malberg, H., & Schmidt, M. (2020). DeepPerfusion: Camera-based Blood Volume Pulse Extraction using a 3D Convolutional Neural Network. 47th Conference Computing in Cardiology (CinC), 1–4. https://doi.org/10.22489/CinC.2020.388

Mühle, R., Ernst, H., Sobottka, S. B., & Morgenstern, U. (2021). Workflow and hardware for intraoperative hyperspectral data acquisition in neurosurgery. Biomedical Engineering / Biomedizinische Technik, 66(1), 31–42. https://doi.org/10.1515/bmt-2019-0333

Ernst, H., Scherpf, M., Malberg, H., & Schmidt, M. (2020a). Color Spaces and Regions of Interest in Camera Based Heart Rate Estimation. 11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO), 1–2. https://doi.org/10.1109/ESGCO49734.2020.9158147

Ernst, H., Scherpf, M., Malberg, H., & Schmidt, M. (2020b). Farbräume und Gesichtsbereiche zur kamerabasierten Herzratenschätzung. Innovative Verarbeitung bioelektrischer und biomagnetischer Signale, 10–11.

Ernst, H., Trumpp, A., Malberg, H., & Zaunseder, S. (2018). Kamerabasierte Bewertung der Hautperfusion des Gesichts während eines Kältestresstests. Innovative Verarbeitung bioelektrischer und biomagnetischer Signale, 61–62.

Zaunseder, S., Trumpp, A., Ernst, H., Förster, M., & Malberg, H. (2018). Spatio-temporal analysis of blood perfusion by imaging photoplethysmography. In G. L. Coté (Ed.), Optical Diagnostics and Sensing XVIII: Toward Point-of-Care Diagnostics (Vol. 10501, pp. 178–191). SPIE. https://doi.org/10.1117/12.2289896

Awards

Best Oral Presentation (1^st place) - VDE Biosignale 2022
Deutsche Gesellschaft für Biomedizinische Technik (DGBMT)
Link Link (Twitter)

Rosanna Degani Young Investigator Award (semi-finalist) - 47th Conference Computing in Cardiology (CinC) 2020
CinC Board of Directors
Link

Best Paper Award (2^nd place) - VDE Biosignale 2020
Deutsche Gesellschaft für Biomedizinische Technik (DGBMT)
Link

Best Contributions DeGAG-Slam (2^nd place) - 10^th DeGAG Congress for Arterial Vascular Stiffness 2018
Gesellschaft Arterielle Gefäßsteifigkeit (DeGAG)
Link