Oberseminar: Digital Health

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Digital Health integrates various information sources to extract medical insight and provide personalised health services as well as support for medical professionals. In this seminar, students, PhD researchers, and senior researchers of the Chair of Digital Health present their scientific work. Bachelor and Master students working at the chair are cordially invited to participate.


Oversee the bandwidth of research in digital health and related scientific fields.

Learning Objectives

  • Gain overview on Digital Health and mobile health technologies.
  • Develop pattern analysis and machine learning methods.
  • Design on-body systems and apply additive fabrication methods.
  • Evaluate personalised services for patients and caregivers.


Project type Seminar
ECTS 2.5 (2 SWS)
Language English or German
Period Winter term 2020/21
Presence time Virtual seminar, working from remote.
Useful knowledge Embedded systems, sensor technology, biomedical engineering, artificial intelligence, medicine
Work distribution All research in digital health
Med. Eng. designation Not applicable.
StudOn link Please join
First meeting Not applicable.
Registration Via StudOn, obligatory after introduction.


Up-to-date literature recommendations are provided during the meetings.


Not applicable.


Prof. Dr. Oliver Amft

  • Job title: Director
  • Address:
    Henkestr. 91, Geb. 7
    91052 Erlangen
  • Phone number: +49 9131 85-23601
  • Email: oliver.amft@fau.de

Friedrich-Alexander-Universität Erlangen-Nürnberg