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.
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.
Bayesian Intelligent Autonomous Systems Lab
We are an academic research team within the Signal Processing Systems group at Eindhoven University of Technology. Our main research...
Clinical relevance is our commitment, achieved through close collaboration with selected clinical/industrial partners and advisors.
Information and Communication Theory Lab
We focus on the fundamental limits of information processing (transmission, storage, and sensing) underlying our modern digital society....
We aim to learn more about neurocognition by studying epilepsy, the most common neurological disease, which affects 1-2% of the population....
Mobile Perception Systems Lab
The Mobile Perception Systems Lab researches methods in Artificial Intelligence that allow mobile autonomous systems to perceive their...
Video Coding & Architectures
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 more
Meet some of our Researchers
Beatrijs van der Hout
Bert de Vries
Judith van Laar
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.
Our most recent peer reviewed publications
Deep learning approach for ECG-based automated sleep state classification in preterm infantsBiomedical Signal Processing and Control (2020)
Epileptic seizures associated with syncopeEpilepsy and Behavior (2019)
Prediction of unsuccessful endometrial ablationGynecological Surgery (2019)
Publisher CorrectionScientific Reports (2019)
The impact of delayed sleep phase disorder on adolescents and their familySleep Medicine (2019)