Signal Processing Systems
Enabling the digital revolution through theories, algorithms, architectures and solutions for analyzing and interpreting signals, images, and multivariate data sets.
Making sense of signals, images and data
The Signal Processing Systems (SPS) group studies theories and techniques to extract meaningful information from signals, images, and multivariate data sets. We combine academic excellence with a strong real-world impact in biomedical instrumentation, medical image analysis, video surveillance, autonomous vehicles, digital wireless and optical communication, hearing aids, and intelligent lighting.
The SPS group has top scientists in signal and image analysis, information and communication theory, and machine learning and artificial intelligence. We also host many senior clinical and industrial experts on a part-time basis, which allows many of our students to be co-supervised by these experts.
News
Researchers Electrical Engineering shine at Japanese optoelectronics conference
July 12, 2019
Researchers of the department presented an impressive 16 papers, of which 1 was invited, 2 won awards, and 2 were post-deadline.
New professor Lukas Dekker: improved identification and treatment of arrhythmias
February 27, 2019
Cardiologist-electrophysiologist Lukas Dekker of the Catharina Hospital was appointed part-time professor this month. His chair is called 'Technology for outcome-driven cardiac care'.
Strong boost for medical-technological developments in the Eindhoven Brainport region
June 14, 2018
Five Eindhoven organizations are going one step further to speed up the development and application of medical innovations. The collaboration between TU Eindhoven, Philips, Máxima Medical Center, Catharina Hospital and the Kempenhaeghe Expertise Center in e/MTIC (Eindhoven MedTech Innovation Center) will lead to more technical innovation in healthcare.
Our labs
Artificial Intelligence within the SPS Group
The SPS group conducts both fundamental and application-driven research on cutting-edge Artificial Intelligence (AI) technology for signal processing systems. We also provide a broad palette of academic coursework on AI that ranges from neuroscience-inspired learning algorithms to deep learning technology and from introductory to highly specialized levels.
Our group includes more than 25 academic faculty members and about 100 PhD students with specialized expertise across a wide range of machine learning and signal processing topics. This page provides a gateway to our activities on AI for signal processing systems.
Read moreMeet some of our Researchers
Work with us!
Please check out the TU/e vacancy pages for opportunities within our group.
If you are a student, potential sponsor or industrial partner and want to work with us, please contact the SPS group chair prof. Jan Bergmans.
Innovation
As a hub in the regional innovation ecosystem, our group collaborates intensively with industry, hospitals and other societal stakeholders, with broad impact:
- Bidirectional staff exchanges: around 20 senior experts from strategic industrial and clinical partners have part-time appointments in the group, mostly at the level of full professor. Also, several of our senior staff members serve as scientific advisor to a variety of high-tech companies. Furthermore, many of our PhD students are embedded for a significant part of their time with strategic partners.
- Joint roadmaps: we contribute structurally to joint roadmaps with industry in the framework of e.g. the Center for Wireless Technology, the Center for Care and Cure Technologies and the Eindhoven MedTech Innovation Center.
- Industrial funding: many of our PhD projects are funded partly (and in several cases fully) by industry.
- Patents: our research frequently results in patent applications, either jointly with industry or with TU/e as main applicant.
- Real-world applications: over the years, many of our research results were absorbed in industrial products and/or clinical practice.
- Start-up companies: since 2000 we have produced 11 start-up companies.
Student opportunities
All Master projects offered by the Electrical Engineering department can be found at the Master Project Marketplace. You can login to this website using your TU/e account. Or contact Svitlana Zinger or Alex Alvarado
For options within the Labs, please have a look at: BIAS Lab BM/d Lab ICT Lab Neu3CA VCA Lab
News
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Jan Werth,Mustafa Radha,Peter Andriessen,Ronald Aarts,Xi Long
Deep learning approach for ECG-based automated sleep state classification in preterm infants
Biomedical Signal Processing and Control (2020) -
Carlos Paul Monté,Carlos Jules Monté,Paul Boon,Johan Arends
Epileptic seizures associated with syncope
Epilepsy and Behavior (2019) -
K.Y.R. Stevens,D. Meulenbroeks,S. Houterman,T. Gijsen,S. Weyers,B.C. Schoot
Prediction of unsuccessful endometrial ablation
Gynecological Surgery (2019) -
Ruth Janke van Holst,Lieneke K. Janssen,Petra van Mierlo,Gert Jan Lammers,Roshan Cools,Sebastiaan Overeem,Esther Aarts
Publisher Correction
Scientific Reports (2019) -
Koen Montie,Laury Quaedackers,Vera Perlitius,Els van der Horst,Nele L.E. Vandenbussche,Sebastiaan Overeem,Sigrid Pillen
The impact of delayed sleep phase disorder on adolescents and their family
Sleep Medicine (2019)
Eindhoven MedTech Innovation Center (e/MTIC)
Bringing technical innovations all the way from early research to implementation and commercialization can often take a long time. In healthcare innovation, in particular, this lost time can often equate to lost lives. The goal of the Eindhoven MedTech Innovation Center (e/MTIC) is to create and expand an ecosystem that strongly increases the speed of high-tech health innovation, maximizing value for patients. We consider such an ecosystem to be an unmet need and a unique opportunity for the Brainport region to make significant contributions to visionary new developments in healthcare. e/MTIC is a large-scale research collaboration between the Catharina Hospital (CH), the Maxima Medical Center (MMC), Kempenhaeghe Epilepsy and Sleep Center (KH), Eindhoven University of Technology (TU/e) and Royal Philips Eindhoven (RPE) in the domains cardiovascular medicine, perinatal medicine and sleep medicine. The partnership has evolved over several decades, has a strong scientific and valorization track record and currently encompasses around 100 PhD students, supervised by a similar number of experts from the various partners.
Contact
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Visiting address
FluxDe Groene Loper 195612 ap EindhovenNetherlands -
Postal address
Department of Electrical EngineeringP.O. Box 5135600 MB EindhovenNetherlands -
Secretary
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Teamlead