Homepage of Martin Schmidt

Research Group Leader

Mr Dr.-Ing. Martin Schmidt

Biosignal Processing Group

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Contact Information

Institute of Biomedical Engineering

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Visiting address:

Fetscherforum (F29), 1st Floor , Room 34 Fetscherstraße 29

01307 Dresden

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fax Fax: +49 351 463-36026

RG Biosignal Processing

Profile

since 2019	Technische Universität Dresden Head of Biosignal Processing Group at Institute of Biomedical Engineering
since 2014	Technische Universität Dresden Graduate Research Fellow at Institute of Biomedical Engineering
2008-2013	Technische Universität Dresden Master of Science Information Systems Engineering

Memberships

Member of the following professional societies: European Society of Cardiology (ESC), Institute of Electrical and Electronics Engineers (IEEE), Engineering in Medicine and Biology Society (EMBS), German Cardiac Society (DGK), Verband Deutscher Elektrotechniker (VDE), Deutsche Gesellschaft für Biomedizinische Technik (DGBMT).

Publications

An up-to-date overview of my publications can be taken from my Google Scholar or ResearchGate profile.

56 Entries

2024

Influence of Autonomic Nervous System Activity on Cerebral Autoregulation in Traumatic Brain InjuryGöttling, M., Meyer, B., Schwendner, M., Krieg, S., Tetschke, F., Malberg, H. & Schmidt, M., 2024, In: Computing in Cardiology. 51, 4 p.Electronic (full-text) versionResearch output: Contribution to journal > Conference article
Morphology Features Self-Learned by Explainable Deep Learning for Atrial Fibrillation Detection Correspond to Fibrillatory WavesHammer, A., Malberg, H. & Schmidt, M., 2024, 2024 Computing in Cardiology Conference. Karlsruhe, Vol. 51. p. 1-4, 4 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
Towards Remote Blood Pressure Estimation Using RGB CamerasScherpf, M., Ernst, H., Malberg, H. & Schmidt, M., 2024, Preceedings of the 2024 Computing in Cardiology Conference. 4 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution

2023

Assessing Brain Dynamics for Predicting Postanoxic Coma Recovery: An EEG Based ApproachGöttling, M., Hohmuth, R., Ehrlich, F., Ernst, H., Hammer, A., Scherpf, M. & Schmidt, M., 26 Dec 2023, 2023 Computing in Cardiology (CinC). IEEE, 4 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
Automatic Detection of Acute Mental Stress With Camera-based PhotoplethysmographyErnst, H., Malberg, H. & Schmidt, M., 26 Dec 2023, 2023 Computing in Cardiology (CinC). IEEE, 4 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
Autonomic Regulation During Acute Mental Stress Is Characterized by Dynamic InteractionsHohmuth, R., Ernst, H., Malberg, H. & Schmidt, M., 26 Dec 2023, Computing in Cardiology, CinC 2023. IEEE, 4 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
Assessment of the human response to acute mental stress-An overview and a multimodal studyErnst, H., Scherpf, M., Pannasch, S., Helmert, J. R., Malberg, H. & Schmidt, M., Nov 2023, In: PloS one. 18, 11, e0294069Electronic (full-text) versionResearch output: Contribution to journal > Research article
Contributors to beat-to-beat stroke volume variability during acute mental stress in healthy volunteersEl-Hamad, F., Ernst, H., Schmidt, M., Shahrbabaki, S. S. & Baumert, M., 1 Jul 2023, Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, p. 1-4, 4 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
A Wireless Rowing Measurement System for Improving the Rowing Performance of AthletesHohmuth, R., Schwensow, D., Malberg, H. & Schmidt, M., 17 Jan 2023, In: Sensors. 23, 3Electronic (full-text) versionResearch output: Contribution to journal > Research article
Morphological ECG Analysis – Revealing Valuable Features for Medical DiagnosisSchmidt, M., Jan 2023, In: Biomedical engineering : joint journal of the German Society for Biomedical Engineering in VDE and the Austrian and Swiss Societies for Biomedical Engineering. 68, S1, p. 77-77, 1 p.Electronic (full-text) versionResearch output: Contribution to journal > Meeting abstract