
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 (This page is no longer maintained.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
t.schaeck@spg.tu-...
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 scholarship to study abroad at DAAD, 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. University of Illinois at Urbana-Champaign (UIUC)
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 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. IEEE Signal Processing Cup
In 2017, he was awarded a DAAD scholarship to attend the on Jeju Island, Republic of Korea. 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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 . The European Association for Signal Processing (EURASIP) 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. 3MT®
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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