Als u wijzigingen in Pure hebt gemaakt, zullen deze hier binnenkort zichtbaar zijn.

Persoonlijk profiel


"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) and Diamond award (2018)

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

Vingerafdruk Verdiep u in de onderzoeksgebieden waarop Ronald M. Aarts actief is. Deze onderwerplabels komen uit het werk van deze persoon. Samen vormen ze een unieke vingerafdruk.

  • 8 Soortgelijke profielen

Netwerk Recente externe samenwerking op landenniveau. Duik in de details door op de stippen te klikken.


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, blz. 1-12 12 blz., 702357.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

Open Access
  • 266 Citaten (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, blz. 6107-6110

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    Open Access
  • 145 Citaten (Scopus)
    655 Downloads (Pure)

    The acoustics of snoring

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

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

  • 135 Citaten (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. (redactie). SPIE, Vol. 11314. 8 blz. 11314. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11314).

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer 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 blz., 101663.

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

  • Knipsels

    Bioelectrical Impedance Accuracy

    R.M. Aarts


    1 item van Media-aandacht

    Pers / media: Vakinhoudelijk commentaar


    Acoustical physical uncloneable functions

    Auteur: Vrijaldenhoven, S., 30 nov 2004

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

    Scriptie/masterproef: Master


    Acoustic ranging for localization systems

    Auteur: Qin, Y., 31 aug 2011

    Begeleider: Aarts, R. (Afstudeerdocent 1) & Lamb, J. (Externe persoon) (Afstudeerdocent 2)

    Scriptie/masterproef: Master

    A probabilistic approach to sound classification

    Auteur: van Loon, R., 31 aug 2007

    Begeleider: Aarts, R. (Afstudeerdocent 1)

    Scriptie/masterproef: Master


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

    Auteur: Jin, A., 31 aug 2009

    Begeleider: Aarts, R. (Afstudeerdocent 1)

    Scriptie/masterproef: Master