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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work Tel.: +49 351 463-39942
fax Fax: +49 351 463-36026

martin.schmidt@tu-dresden.de

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.

71 Entries

2025

Fusion of automatically learned rhythm and morphology features matches diagnostic criteria and enhances AI explainabilityHammer, A., Goettling, M., Malberg, H., Linke, A., Richter, S., Mangner, N. & Schmidt, M., 28 Aug 2025, In: npj Artificial Intelligence. 1, 1, 19Electronic (full-text) versionResearch output: Contribution to journal > Research article
Non-invasive maturity assessment of iPSC-CMs based on optical maturity characteristics using interpretable AIScheurer, F., Hammer, A., Schubert, M., Steiner, R., Gamm, O., Guan, K., Sonntag, F. & 2 others, 22 Aug 2025, In: Computational and Structural Biotechnology Journal. 27, p. 3719-3728, 10 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
Patient-Centered Risk Prediction, Prevention, and Intervention Platform (TIMELY) to Support the Continuum of Care in Coronary Artery Disease Using eHealth and Artificial Intelligence: Protocol for a Randomized Controlled TrialHabibovic, M., Douma, E., Schäfer, H., Sestayo-Fernandez, M., Roovers, T., Sun, X., Schmidt, H. & 14 others, 14 Aug 2025, In: JMIR research protocols. 14, 1, e66283Electronic (full-text) versionResearch output: Contribution to journal > Research article
KI-basierte Diagnoseunterstützung anhand mobiler Langzeit-EKGs für telemedizinisch überwachte Patienten mit koronarer Herzkrankheit: Eine Fallstudie zu VorhofflimmernHammer, A., Schäfer, H., Gerdes, A., Schmitz, B., Mooren, F. C., Malberg, H., Linke, A. & 1 others, Apr 2025, 1 p.Electronic (full-text) versionResearch output: Contribution to conferences > Abstract
Transfer Learning to Focus Self-Learning AI on Rhythm Improves Interpretability in Atrial Fibrillation DetectionHammer, A., Zannini, M., Malberg, H. & Schmidt, M., 2025, In: Computing in Cardiology. 52, 4 p.Electronic (full-text) versionResearch output: Contribution to journal > Conference article

2024

Characterization of cardiocerebral effects during sleep arousals by means of graph analysisMüller, J. J., Hohmuth, R., Hartmann, S., Malberg, H. & Schmidt, M., 1 Dec 2024, In: Biomedical engineering : joint journal of the German Society for Biomedical Engineering in VDE and the Austrian and Swiss Societies for Biomedical Engineering. 69, Suppl 2, p. 108, 1 p.Electronic (full-text) versionResearch output: Contribution to journal > Meeting abstract
Decreased ventricular repolarization variability in one-year-olds of gestational diabetes mothersSchmidt, M., Hammer, A., Malberg, H., Lobmaier, S. M., Ewert, P., Oberhoffer-Fritz, R. & Wacker-Gussmann, A., Dec 2024, In: Progress in Pediatric Cardiology. 75, 101756Electronic (full-text) versionResearch output: Contribution to journal > Research article
Einsatz von KI in der Medizin aus Sicht der biomedizintechnischen ForschungSchmidt, M. & Malberg, H., Nov 2024, In: Ärzteblatt Sachsen. 35, 11, p. 27-31Electronic (full-text) versionResearch output: Contribution to journal > Letter
An explainable AI for trustworthy detection of atrial fibrillation on reduced lead ECGs in mobile applicationsHammer, A., Goettling, M., Malberg, H., Linke, A. & Schmidt, M., 28 Oct 2024, In: European heart journal. 45, Suppl 1, ehae666.3497Electronic (full-text) versionResearch output: Contribution to journal > Meeting abstract
Evaluation der KI-gestützten Arousal-Detektion auf der Basis von Schlaflabordaten im Vergleich zu öffentlichen Schlaflabordaten: Resultierende Empfehlungen für die Anwendung in der wissenschaftlichen PraxisEhrlich, F., Sehr, T., Brandt, M. D., Schmidt, M., Malberg, H., Sedlmayr, M. & Goldammer, M., Oct 2024, p. S10, 1 p.Electronic (full-text) versionResearch output: Contribution to conferences > Abstract