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

2023

Cardiovascular Reflections of Sympathovagal Imbalance Precede the Onset of Atrial FibrillationHammer, A., Malberg, H. & Schmidt, M., 2023, Computing in Cardiology, CinC 2023. IEEE, Vol. 50. 4 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution

2022

Improved Pulse Pressure Estimation Based on Imaging Photoplethysmographic SignalsScherpf, M., Malberg, H. & Schmidt, M., 31 Dec 2022, Computing in Cardiology Conference (CinC). Vol. 49. p. 1-4, 4 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
Non-contact Measurement of Respiration Rate With Camera-based Photoplethysmography During Rest and Mental StressErnst, H., Malberg, H. & Schmidt, M., 31 Dec 2022, 2022 Computing in Cardiology, CinC 2022. IEEE, p. 1-4, 4 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
Towards the Prediction of Atrial Fibrillation Based on Interpretable ECG FeaturesHammer, A., Malberg, H. & Schmidt, M., 31 Dec 2022, Computing in Cardiology Conference (CinC). Vol. 49. p. 1-4, 4 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
Optimierung der kamerabasierten Photoplethysmographie für die kontaktlose Messung kardiovaskulärer ParameterErnst, H., Malberg, H. & Schmidt, M., 24 Aug 2022Electronic (full-text) versionResearch output: Contribution to conferences > Paper
Patient-centered cardiac rehabilitation by AI-powered lifestyle intervention – the timely approachSchmitz, B., Gatsios, D., Peña-Gil, C., Juanatey, J., Prieto, D., Tsakanikas, V., Scharnagl, H. & 11 others, Aug 2022, In: AtherosclerosisElectronic (full-text) versionResearch output: Contribution to journal > Research article
Investigation of muscle fatigue during on-water rowing using surface EMGSchwensow, D., Hohmuth, R., Malberg, H. & Schmidt, M., 11 Jul 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). p. 3623-3627, 5 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
Camera-based assessment of cutaneous perfusion strength in a clinical settingHammer, A., Scherpf, M., Schmidt, M., Ernst, H., Malberg, H., Matschke, K., Dragu, A. & 2 others, 21 Mar 2022, In: Physiological measurement. 43, 2, 16 p., 025007Electronic (full-text) versionResearch output: Contribution to journal > Research article

2021

Pulse Arrival Time - A Sensitive Vital Parameter for the Detection of Mental StressErnst, H., Scherpf, M., Malberg, H. & Schmidt, M., 1 Oct 2021, In: Current Directions in Biomedical Engineering. 7, 2, p. 419-422, 4 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
Automatic Classification of Full- and Reduced-Lead Electrocardiograms Using Morphological Feature ExtractionHammer, A., Scherpf, M., Ernst, H., Weiß, J., Schwensow, D. & Schmidt, M., 15 Sep 2021, 2021 Computing in Cardiology, CinC 2021. Wiley-IEEE Press, 4 p., 9662797Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution