Hannes Ernst
Doctoral Researcher
NameDipl.-Ing. Hannes Ernst
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Research Training Group 2323
Research Training Group 2323
Visiting address:
Institutsgebäude S7A
Raum / Room 205
Georg-Schumann-Str. 7a
01187 Dresden
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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
since 2022 |
Technische Universität Dresden |
2018 - 2022 |
Technische Universität Dresden |
2016 |
Norges teknisk-naturvitenskapelige universitet (NTNU) Trondheim, Norway |
2016 |
Technische Universität Dresden |
2015 |
DB ProjektBau GmbH Leipzig |
2013 – 2018 |
Technische Universität Dresden |
2012 – 2013 |
Technische Universität Ilmenau |
Publications
Ernst, H., Malberg, H., & Schmidt, M. (2022b). Non-contact Measurement of Respiration Rate With Camera-based Photoplethysmography During Rest and Mental Stress. 49th Conference Computing in Cardiology (CinC). https://doi.org/10.22489/CinC.2022.219
Ernst, H., Malberg, H., & Schmidt, M. (2022a). Optimierung der kamerabasierten Photoplethysmographie für die kontaktlose Messung kardiovaskulärer Parameter. Innovative Verarbeitung bioelektrischer und biomagnetischer Signale. Link
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
Outstanding Reviewer Awards 2022 - Physiological Measurement
Institute of Physics Publishing (IOPP)
Link
Best Oral Presentation (1st 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 (2nd place) - VDE Biosignale 2020
Deutsche Gesellschaft für Biomedizinische Technik (DGBMT)
Link
Best Contributions DeGAG-Slam (2nd place) - 10th DeGAG Congress for Arterial Vascular Stiffness 2018
Gesellschaft Arterielle Gefäßsteifigkeit (DeGAG)
Link