Former Staff Members

Tim Schäck

Former Member of the Signal Processing Group at the Institute of Telecommunications, TU Darmstadt. (This page is no longer maintained. Last update: 01/2019)

Contact

work +49 6151 16-21353
fax +49 6151 16-21342

Work S3|06 252
Merckstr. 25
64283 Darmstaft

Tim received his Diploma in Electrical Engineering and Information Technology (Dipl.-Ing.) from Technische Universität Darmstadt in March 2013 and finished at the top of his class. In 2010, he was awarded a DAAD scholarship to study abroad at University of Illinois at Urbana-Champaign (UIUC), USA. His student thesis was entitled „Robust Model Based Detection of Eyelids in Videokeratoscopic Images“. His diploma project was to develop a new connectivity measure for psychophysiological signals in presence of artifacts.

In May 2013, Tim commenced working on his PhD in the Signal Processing Group about biomedical signal processing.

Together with Michael Muma, Tim supervised the student team who achieved first place in the international competition IEEE Signal Processing Cup 2015. The challenge of this prestigious competition, in which more than 50 student research teams from all around the world participated, was to monitor the heart rate during physical exercise using wrist-type photoplethysmographic (PPG) signals.

In 2017, he was awarded a DAAD scholarship to attend the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) on Jeju Island, Republic of Korea.

At the European Signal Processing Conference (EUSIPCO) on Kos, Greece, he won out over the competitors from 6 other countries with the presentation about his doctoral thesis “Beating Atrial Fibrillation” during the finals of the Three Minute Thesis® (3MT®) competition in August 2017. The competition was organized by the European Association for Signal Processing (EURASIP). The 3MT® is a prestigious international academic competition developed by The University of Queensland, Australia, for PhD students in 2008 and has been used as a trademark for regular competitions.

Completed Student Theses

Felicia Ruppel Advanced methods for estimating blood pressure and arterial stiffness by using photoplethysmographic signals 01/2018
Felicia Ruppel Estimation of blood pressure and arterial stiffness from photoplethysmographic signals 10/2017
Burak Celik Heart rate tracking in photoplethysmographic signals 10/2016
Marc Meißner New methods in estimating the pulse rate variability 08/2016
Christian Sledz Advanced methods for heart rate extraction from photoplethysmographic signals 06/2016
Burak Celik Implementation of an algorithm for heart rate monitoring using wrist-type photoplethysmographic signals 04/2016
Marc Meißner Pulse rate variability estimation using photoplethysmographic signals 04/2016
Marc Meißner Pulse rate variability estimation using photoplethysmographic signals 02/2016
Burak Celik Modeling and analysis of photoplethysmographic signals 08/2015
Christian Sledz Adaptive heart rate estimation using photoplethysmographic signals and acceleration data 12/2014
Frederik Bous Extension of exemplar-based inpainting methods using affine transformations 08/2014

Publications

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