Digicampus
Lecture: Intelligente Signalanalyse in der Medizin - Details
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Lehrveranstaltung wird online/digital abgehalten.

General information

Course number INF-0272
Semester SS 2019
Current number of participants 35
Home institute Embedded Intelligence for Health Care and Wellbeing
participating institutes Institut für Informatik
Courses type Lecture in category Teaching
First date Tue , 23.04.2019 10:00 - 11:30, Room: (1057N),
Performance record Klausur am Ende des Semesters / Exam at the end of the semester
Online/Digitale Veranstaltung Veranstaltung wird online/digital abgehalten.
Hauptunterrichtssprache englisch
Literaturhinweise -B. Schuller: Intelligent Audio Analysis, Springer, 2013.
Further literature is going to be announced in the first lecture of the course.
ECTS points 5

Course location / Course dates

n.a Tuesday: 10:00 - 11:30, weekly
(1057N) Tuesday. 23.04.19 10:00 - 11:30
(2045N) Tuesday. 08.10.19 10:00 - 11:30

Module assignments

Comment/Description

Students will learn the principal concepts of signal processing, signal source separation, feature extraction and information reduction exemplified by mHealth signals. They will also gain insight into machine learning principles needed for intelligent signal analysis.

They will learn about different problems and solutions in the analysis of signals such as speech, audio, facial, body, gait and wearable sensors.

The student will gain skills in being able to choose appropriate algorithms of signal processing and machine intelligence and experience in applying this skill set to a broad range of mhealth signal analysis problems.

Students will gain competences in being to characterise, judge on the quality and suitability, and design suited algorithmic solutions for intelligent signal analysis with a focus on mHelath signals. Further they will be able to extract meaningful and relevant features and process these with modern approaches of machine intelligence.