Lecture: Digital Health - Details
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Lehrveranstaltung wird als Hybrid/gemischt abgehalten.

General information

Course name Lecture: Digital Health
Course number INF-0380
Semester SS 2023
Current number of participants 55
Home institute Embedded Intelligence for Health Care and Wellbeing
Courses type Lecture in category Teaching
First date Tue., 18.04.2023 14:00 - 15:30, Room: (2045N)
Online/Digitale Veranstaltung Veranstaltung wird als Hybrid/gemischt abgehalten.
Hauptunterrichtssprache englisch
Literaturhinweise Panesar, A (2019): Machine Learning and AI for Healthcare: Big Data for Improved Health Outcomes. Coventry, UK: Apress.

Further literature is going to be announced during the lecture.
ECTS points 5

Course location / Course dates

(2045N) Tuesday: 14:00 - 15:30, weekly (13x)

Module assignments


Digital health is the use of information and communication technology for disease prevention and treatment. Students will get to know the key concepts, definitions, and technologies in the field of digital health. They will get insights into acceptability and usability of digital health applications in the context of various diseases. Students will get to know strategies for collecting medically-relevant data of various modalities, e.g., recording speech data using microphones or tracking heart rate via wearable sensors, and learn about principal concepts of intelligent biosignal processing and analysis including feature extraction and machine learning in the context of healthcare applications. Students will gain competence in selecting appropriate methodology or designing new approaches for a broad range of health-related signal processing and analysis tasks. Finally, students will be made familiar with current and potential future implications of intelligent biosignal analysis to the health sector as well as sensitised to related ethical and data privacy aspects.