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.
2024
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Novel Metric for Non-Invasive Beat-to-Beat Blood Pressure Measurements Demonstrates Physiological Blood Pressure Fluctuations during Pregnancy , 15 May 2024, In: Sensors. 24, 10, 3151Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Cardiovascular Diseases Inhibit the Activation of Cardio-Cerebral Coupling During Arousals , 2024, 4 p.Electronic (full-text) versionResearch output: Contribution to conferences > Paper
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Detecting Atrial Fibrillation from Reduced-Lead Electrocardiograms of Mobile Patches Using Interpretable Features , 2024, In: Computing in Cardiology. 51, p. 1-4Electronic (full-text) versionResearch output: Contribution to journal > Conference article
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Evaluation der KI-gestützten Arousal-Detektion auf der Basis von Schlaflabordaten im Vergleich zu öffentlichen Schlaflabordaten: Resultierende Empfehlungen für die Anwendung in der wissenschaftlichen Praxis , 2024Research output: Contribution to conferences > Abstract
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Influence of Autonomic Nervous System Activity on Cerebral Autoregulation in Traumatic Brain Injury , 2024, In: Computing in Cardiology. 51, 4 p.Electronic (full-text) versionResearch output: Contribution to journal > Conference article
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Morphology Features Self-Learned by Explainable Deep Learning for Atrial Fibrillation Detection Correspond to Fibrillatory Waves , 2024, In: Computing in Cardiology. 51, p. 1-4, 4 p.Electronic (full-text) versionResearch output: Contribution to journal > Conference article
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Towards Remote Blood Pressure Estimation Using RGB Cameras , 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
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Assessing Brain Dynamics for Predicting Postanoxic Coma Recovery: An EEG Based Approach , 26 Dec 2023, 2023 Computing in Cardiology (CinC). Institute of Electrical and Electronics Engineers (IEEE), 4 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Automatic Detection of Acute Mental Stress With Camera-based Photoplethysmography , 26 Dec 2023, 2023 Computing in Cardiology (CinC). Institute of Electrical and Electronics Engineers (IEEE), 4 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Autonomic Regulation During Acute Mental Stress Is Characterized by Dynamic Interactions , 26 Dec 2023, Computing in Cardiology, CinC 2023. Institute of Electrical and Electronics Engineers (IEEE), 4 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution