Homepage of Martin Schmidt

Research Group Leader
NameMr Dr.-Ing. Martin Schmidt
Biosignal Processing Group
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Visiting address:
Fetscherforum (F29), 1st Floor , Room 34 Fetscherstraße 29
01307 Dresden
Profile
since 2019 |
Technische Universität Dresden |
since 2014 | Technische Universität Dresden
Graduate Research Fellow at Institute of Biomedical Engineering |
2008-2013 |
Technische Universität Dresden |
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.
2025
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Fusion of automatically learned rhythm and morphology features matches diagnostic criteria and enhances AI explainability , 28 Aug 2025, In: npj Artificial Intelligence. 2025, 1Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Non-invasive maturity assessment of iPSC-CMs based on optical maturity characteristics using interpretable AI , 22 Aug 2025, In: Computational and Structural Biotechnology JournalElectronic (full-text) versionResearch output: Contribution to journal > Research article
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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 Trial , 14 Aug 2025, In: JMIR research protocols. 14, e66283Electronic (full-text) versionResearch output: Contribution to journal > Research article
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DeepPerfusion: A comprehensible two-branched deep learning architecture for high-precision blood volume pulse extraction based on imaging photoplethysmography , 3 Jun 2025, In: Computers in biology and medicine. 196, Part A, 110571Electronic (full-text) versionResearch output: Contribution to journal > Research article
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KI-basierte Diagnoseunterstützung anhand mobiler Langzeit-EKGs für telemedizinisch überwachte Patienten mit koronarer Herzkrankheit: Eine Fallstudie zu Vorhofflimmern , Apr 2025, 1 p.Electronic (full-text) versionResearch output: Contribution to conferences > Abstract
2024
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Decreased ventricular repolarization variability in one-year-olds of gestational diabetes mothers , Dec 2024, In: Progress in Pediatric Cardiology. 75, 101756Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Characterization of cardiocerebral effects during sleep arousals by means of graph analysis , 19 Nov 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, S2, p. 108Electronic (full-text) versionResearch output: Contribution to journal > Meeting abstract
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Einsatz von KI in der Medizin aus Sicht der biomedizintechnischen Forschung , Nov 2024, In: Ärzteblatt Sachsen. 35, 11, p. 27-31Electronic (full-text) versionResearch output: Contribution to journal > Letter
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An explainable AI for trustworthy detection of atrial fibrillation on reduced lead ECGs in mobile applications , 28 Oct 2024, In: European heart journal. 45, Suppl 1, ehae666.3497Electronic (full-text) versionResearch output: Contribution to journal > Research article
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State-of-the-art sleep arousal detection evaluated on a comprehensive clinical dataset , 14 Jul 2024, In: Scientific reports. 14, 1, 16239Electronic (full-text) versionResearch output: Contribution to journal > Research article