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

2021

Cardiovascular Effects of Mental Stress in Healthy VolunteersErnst, H., Pannasch, S., Helmert, J. R., Malberg, H. & Schmidt, M., 15 Sep 2021, 2021 Computing in Cardiology, CinC 2021. Wiley-IEEE Press, p. 1-4, 4 p., 9662842Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
Skin Segmentation for Imaging Photoplethysmography Using a Specialized Deep Learning ApproachScherpf, M., Ernst, H., Misera, L., Malberg, H. & Schmidt, M., 15 Sep 2021, 2021 Computing in Cardiology, CinC 2021. Wiley-IEEE Press, p. 1-4, 4 p., 9662682Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
Evaluation of Ventricular Repolarization Variability in Patients With Nonischemic Dilated Cardiomyopathy From VectorcardiographySchmidt, M., 13 Sep 2021, 2021 Computing in Cardiology (CinC)Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
Optimal color channel combination across skin tones for remote heart rate measurement in camera-based photoplethysmographyErnst, H., Scherpf, M., Malberg, H. & Schmidt, M., Jul 2021, In: Biomedical signal processing and control. 68, 102644Electronic (full-text) versionResearch output: Contribution to journal > Research article
Needs, Functions, and Technologies of Technical Assistance Systems in Nursing Context - A Systematic ReviewHammer, A., Wollschlaeger, B., Schmidt, M. & Otto, L., 2021, Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021): HEALTHINF. Pesquita, C., Fred, A. & Gamboa, H. (eds.).Vol. 5. p. 493-500, 8 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution

2020

Detection Quality Indices for Improved Heart Beat Assessment in Non-Invasive Fetal ECGWeiß, J., Malberg, H. & Schmidt, M., 30 Dec 2020, 2020 Computing in Cardiology Conference (CinC)Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
Quantification of Ventricular Repolarization Fluctuations in Patients With Myocardial InfarctionSchmidt, M., Dunker, R., Malberg, H. & Zaunseder, S., 30 Dec 2020, 2020 Computing in Cardiology Conference (CinC)Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
Instantaneous Cardiac Baroreflex Sensitivity: xBRS Method Quantifies Heart Rate Blood Pressure Variability Ratio at Rest and During Slow BreathingWessel, N., Gapelyuk, A., Weiß, J., Schmidt, M., Kraemer, J. F., Berg, K., Malberg, H. & 2 others, 24 Sep 2020, In: Frontiers in neuroscienceElectronic (full-text) versionResearch output: Contribution to journal > Research article
More Reliable Remote Heart Rate Measurement by Signal Quality IndexesErnst, H., Malberg, H. & Schmidt, M., 16 Sep 2020, 47th Conference Computing in Cardiology (CinC). Wiley-IEEE Press, p. 1-4, 4 p., 9344268Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
DeepPerfusion: Camera-based Blood Volume Pulse Extraction Using a 3D Convolutional Neural NetworkScherpf, M., Ernst, H., Malberg, H. & Schmidt, M., 13 Sep 2020, 47th Conference Computing in Cardiology (CinC). IEEE Computer Society, Washington , 9344435. (Computing in Cardiology; vol. 2020-September)Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution