Oberseminar: Digital Health

Background

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.

Aim

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.

Data

Project type
Seminar
ECTS
2.5 (2 SWS)
Language
English or German
Period
Winter term 2021/22
Presence time
Online seminar, working from remote
Useful knowledge
Embedded programming, sensor technology, biomedical engineering, artificial intelligence, medicine
Work distribution
All research in digital health
Med. Eng. designation
Not applicable
StudOn link
https://www.studon.fau.de/studon/goto.php?target=crs_3987986
First meeting
Not applicable
Registration Via StudOn, obligatory after introduction

Literature

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

Examination

Not applicable.

Contact

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