Georg Schmidt

Prof. Dr. Georg Schmidt is a Professor of Biosignal Processing at the TUM School of Medicine and Health (Technical University of Munich). His research focuses on non-invasive cardiac risk assessment using electrocardiography (ECG) and heart rate variability (HRV) analysis, with emphasis on mortality prediction, arrhythmia detection, and telemedicine integration. He leads major studies like the EU-CERT-ICD cohort and the German National Cohort (NAKO), exploring topics such as ICD efficacy, gestational diabetes impacts, and data protection standards in healthcare.

• Key affiliations: TUM School of Medicine and Health, Department of Biosignal Processing
• Leadership roles: Humboldt/Heisenberg Professorship eligibility (per faculty listings)

Research interests include:

• Cardiac autonomic function and arrhythmia risk
• ECG-based biomarkers for mortality prediction
• Interoperability of medical devices in smart hospitals
• Ethical frameworks for secondary use of health data

Publications highlight contributions to ICD therapy optimization, fetal cardiac monitoring, and telemedicine in post-COVID scenarios. His work bridges clinical cardiology with engineering innovations in biosignal analysis.

Awards: Not explicitly mentioned in provided texts.

Advising/Grants: No listed students, but leads large collaborative research projects. Grants likely tied to EU-CERT-ICD and NAKO initiatives.

Labs/Teams: Involved in TUM's biosignal processing and telemedicine integration teams.