Tim Schäck

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 (This page is no longer maintained.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)

Merckstr. 25
64283 Darmstaft

Office: S3|06 252

+49 6151 16-21353
+49 6151 16-21342


go to list

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

Teaching

Fundamentals of Signal Processing (SS 2015)

Stochastic Signals and Systems (SS 2014)

Signal Detection and Parameter Estimation (WS 2013/2014)

Publications

Exportieren als [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Date | Item type | No grouping
Jump to: 2018 | 2017 | 2016 | 2015
Number of items: 7.

2018

Schäck, T. ; Muma, M. ; Feng, M. ; Guan, C. ; Zoubir, A. M. (2018):
Robust Nonlinear Causality Analysis of Non-Stationary Multivariate Physiological Time Series.
In: IEEE Transactions on Biomedical Engineering, 65 (6), S. 1213-1225, ISSN 0018-9294,
DOI: 10.1109/TBME.2017.2708609,
[Online-Edition: https://doi.org/10.1109/TBME.2017.2708609],
[Article]

Schäck, T. ; Muma, M. ; Zoubir, A. M. (2018):
Hands-on in Signal Processing Education at Technische Universität Darmstadt.
In: Proc. 43rd IEEE Int. Conf. Accoust. Speech and Signal Process. (ICASSP), [Conference item]

2017

Schäck, T. ; Safi Harb, Y. ; Muma, M. ; Zoubir, A. M. (2017):
Computationally Efficient Algorithm for Photoplethysmography-Based Atrial Fibrillation Detection Using Smartphones.
In: 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Seogwipo, South Korea, S. 104-108, DOI: 10.1109/EMBC.2017.8036773,
[Online-Edition: https://doi.org/10.1109/embc.2017.8036773],
[Conference item]

Schäck, T. ; Muma, M. ; Zoubir, A. M. (2017):
Signal Processing Projects at Technische Universität Darmstadt: How to engage undergraduate students in signal processing practice.
In: IEEE Signal Processing Magazine, 34 (1), S. 16-30, ISSN 1053-5888,
[Online-Edition: https://doi.org/10.1109/MSP.2016.2619218],
[Article]

Schäck, T. ; Muma, M. ; Zoubir, A. M. (2017):
Computationally efficient heart rate estimation during physical exercise using photoplethysmographic signals.
In: European Signal Processing Conference 2017 (EUSIPCO 2017), Kos, Greece, S. 2478-2481, [Online-Edition: https://doi.org/10.23919/EUSIPCO.2017.8081656],
[Conference item]

2016

Schäck, T. ; Muma, M. ; Alkhaldi, W. ; Zoubir, A. M. (2016):
A procedure to locate the eyelid position in noisy videokeratoscopic images.
In: EURASIP Journal on Advances in Signal Processing: Nonlinear signal and image processing - a special issue in honour of Giovanni L. Sicuranza on his seventy-fifth birtday, 2016 (1), S. 136, ISSN 1687-6180,
[Online-Edition: http://dx.doi.org/10.1186/s13634-016-0433-0],
[Article]

2015

Schäck, T. ; Sledz, C. ; Muma, M. ; Zoubir, A. M. (2015):
A new method for heart rate monitoring during physical exercise using photoplethysmographic signals.
Nice, France, In: European Signal Processing Conference 2015 (EUSIPCO 2015), S. 2666-2670, [Online-Edition: http://dx.doi.org/10.1109/EUSIPCO.2015.7362868],
[Conference item]

This list was generated on Mon Aug 10 06:39:53 2020 CEST.