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Personal profile

Quote

"I’m an advocate for the four P’s: People (Cooperations), Patents (Engineering), Papers (Science), and Products (Valorization). Those four Ps have been keeping me ticking for over 40 years."

Research profile

Ronald Aarts is Chair of Ambulatory monitoring and a Full Professor at the department of Signal Processing Systems, faculty of Electrical Engineering and at Eindhoven University of Technology (TU/e).  His areas of expertise include electromagnetism, optics, acoustics, physiology, software, algorithms, control systems signal processing, and systems for ambulatory and unobtrusive monitoring. His research interests include engineering to medicine and biology - in particular sensors, signal processing, and systems for ambulatory and unobtrusive-monitoring, sleep, cardiology, perinatal, drugs response monitoring (DRM), and epilepsy detection. 

Ronald has been a part-time full-professor since 2006, mainly supervising Master and PhD students, and he has been working at Philips Research since 1977, these two occupations give the perfect symbiosis for the four P’s.

Awards

Philips Gilles Holst Award (1999)

Philips Gold Invention Award (2012) 

Philips Eureka Award (2001 and 2014)

IEEE Chester Sall Award (2017)

AES (Audio Engineering Society) Fellowship (1995) & Silver Medal (2010)

Various honors

Academic background

Ronald Aarts received a BSc in electrical engineering and a PhD in physics from Delft University of Technology. He joined the Optics group at Philips Research Laboratories (formerly known as NatLab), Eindhoven, the Netherlands in 1977 and initially investigated servos and signal processing for use in Video Long Play players and Compact Disc players. In 1984, he joined the Acoustics group at Philips Research Labs and worked on the development of CAD tools and signal processing for loudspeaker systems. In 1994, he became a member of the Digital Signal Processing (DSP) group at Philips Research and has led research projects on the improvement of sound reproduction, by exploiting DSP and psycho-acoustical phenomena. In 2003 Ronald became a Philips Fellow at Philips Research.

Ronald has published over 400 papers and reports, and holds over 220 first patent application filings including over 125 US patent applications and over 80 granted US patents in the aforementioned fields. He has served on a number of organizing committees and as chairman for various international conventions. 

Affiliated with

IEEE Fellow

AES (Audio Engineering Society) Fellow

NSWO (Dutch Society for Sleep and Wake Research) member

Former governor and member VvBBMT (Dutch Society for Biophysics and Biomedical Engineering)

Partners in (semi-)industry

Philips Research

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1987 2018

204 Citations

A survey of stimulation methods used in SSVEP-based BCIs

Zhu, D., Bieger, J., Garcia Molina, G. & Aarts, R. M., 2010, In : Computational Intelligence and Neuroscience. 2010, p. 1-12 12 p., 702357

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Visual Evoked Potentials
Bioelectric potentials
Brain-Computer Interfaces
Brain computer interface
Computer Systems
123 Citations

Single-accelerometer-based daily physical activity classification

Long, X., Yin, B. & Aarts, R. M., 2009, Proceedings of the EMBC' 09; 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2-6 September 2009, Minneapolis, Minnesota. Piscataway: Institute of Electrical and Electronics Engineers (IEEE), p. 6107-6110

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
Accelerometers
Classifiers
Decision trees
Sports
Principal component analysis
121 Citations

The acoustics of snoring

Pevernagie, D., Aarts, R. M. & De Meyer, M., 2010, In : Sleep Medicine Reviews. 14, 2, p. 131-144 14 p.

Research output: Contribution to journalArticleAcademicpeer-review

Snoring
Acoustics
Sleep
Soft Palate
Sleep Stages

A broadband method of quantifying phase synchronization for discriminating seizure EEG signals

Wang, L., Long, X., Aarts, R. M., van Dijk, J. P. & Arends, J. B. A. M., 1 Jan 2018, (Accepted/In press) In : Biomedical Signal Processing and Control.

Research output: Contribution to journalArticleAcademicpeer-review

Electroencephalography
Synchronization
Seizures
Recurrence
Brain

A comparison of probabilistic classifiers for sleep stage classification

Fonseca, P., Den Teuling, N., Long, X. & Aarts, R. M., 15 May 2018, In : Physiological Measurement. 39, 5, 15 p., 055001

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Sleep Stages
Obstructive Sleep Apnea
Classifiers
Sleep
Polysomnography

Press / Media

Bioelectrical Impedance Accuracy

Ronald Aarts

22/06/18

1 item of media coverage

Press/Media: Expert Comment

Student theses

Acoustical physical uncloneable functions

Author: Vrijaldenhoven, S., 30 Nov 2004

Supervisor: Aarts, R. (Supervisor 1), Huizing, C. (Supervisor 2) & de Vink, E. (Supervisor 2)

Student thesis: Master

File

Acoustic ranging for localization systems

Author: Qin, Y., 31 Aug 2011

Supervisor: Aarts, R. (Supervisor 1) & Lamb, J. (External person) (Supervisor 2)

Student thesis: Master

A probabilistic approach to sound classification

Author: van Loon, R., 31 Aug 2007

Supervisor: Aarts, R. (Supervisor 1)

Student thesis: Master

File

A respiration monitoring system based on a tri-axial accelerometer and an air-coupled microphone

Author: Jin, A., 31 Aug 2009

Supervisor: Aarts, R. (Supervisor 1)

Student thesis: Master