If you made any changes in Pure these will be visible here soon.

Personal profile


"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.


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 95 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

Fingerprint Dive into the research topics where Ronald M. Aarts is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 9 Similar Profiles

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

Research Output

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
  • 266 Citations (Scopus)
    334 Downloads (Pure)

    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, p. 6107-6110

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

    Open Access
  • 145 Citations (Scopus)
    656 Downloads (Pure)

    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

  • 135 Citations (Scopus)
    8 Downloads (Pure)

    Automated discomfort detection for premature infants in NICU using time-frequency feature-images and CNNs

    Sun, Y., Kommers, D., Tan, T., Wang, W., Long, X., Shan, C., van Pul, C., Aarts, R. M., Andriessen, P. & de With, P. H. N., 2020, Medical Imaging 2020: Computer-Aided Diagnosis. Hahn, H. K. & Mazurowski, M. A. (eds.). SPIE, Vol. 11314. 8 p. 11314. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11314).

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

  • Deep learning approach for ECG-based automatic sleep state classification in preterm infants

    Werth, J., Radha, M., Andriessen, P., Aarts, R. & Long, X., 1 Feb 2020, In : Biomedical Signal Processing and Control. 56, 10 p., 101663.

    Research output: Contribution to journalArticleAcademicpeer-review

  • Press / Media

    Bioelectrical Impedance Accuracy

    R.M. Aarts


    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


    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


    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