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Intelligente Signalanalyse in der Medizin


Dozent(in): Prof Björn Schuller, Dr. Nicholas Cummins
Termin:
Gebäude/Raum: Lecture Di: 12:15 - 13:45 2045 N Tutorial Do: 15:45 - 17:15 1005 N
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.


weitere Informationen zu der Lehrveranstaltung:

empfohlenes Studiensemester der Lehrveranstaltung: Master
Fachrichtung Lehrveranstaltung: Informatik
Dauer der Lehrveranstaltung: 4 SWS
Typ der Lehrveranstaltung: V - Vorlesung
Semester: SS 2018