Digicampus
Vorlesung: Medical Monitoring and Advanced Sensor Data Processing - Details
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Lehrveranstaltung wird in Präsenz abgehalten.

Allgemeine Informationen

Veranstaltungsname Vorlesung: Medical Monitoring and Advanced Sensor Data Processing
Veranstaltungsnummer INF-0504
Semester SS 2024
Aktuelle Anzahl der Teilnehmenden 5
Heimat-Einrichtung Diagnostische Sensorik
Veranstaltungstyp Vorlesung in der Kategorie Lehre
Nächster Termin Donnerstag, 16.05.2024 08:15 - 09:45, Ort: (201 F1 (Alte Uni))
Online/Digitale Veranstaltung Veranstaltung wird in Präsenz abgehalten.
Hauptunterrichtssprache englisch

Räume und Zeiten

(201 F1 (Alte Uni))
Donnerstag: 08:15 - 09:45, wöchentlich (12x)
(201 F1 (Alte Uni) / 111 F1 (Alte Uni))
Donnerstag: 10:00 - 11:30, wöchentlich (12x)

Modulzuordnungen

Kommentar/Beschreibung

The lecture provides a comprehensive overview on medical monitoring and advanced techniques for sensor data processing with relevance to medical monitoring. It is divided in two main parts. Part 1 covers fundamental aspects with respect to medical monitoring. It overviews basic ideas, a historical perspective, the status quo and trends regarding medical monitoring (e.g. multimodal monitoring strategies, predictive approaches and the extended use of wearables for monitoring purposes). Part 2 illustrates advanced processing techniques (univariate methods and sensor data fusion) that are relevant to the various types of today’s monitoring. Covered topics are time-frequency-transforms as the short-term Fourier transform and Wavelet transform, Kalman-filters, advanced denoising and dimension reduction techniques (as deep autoencoders and source separation techniques) and finally detection/classification approaches. All such concepts are described in the context of concrete monitoring applications.