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Personal profile


Peter Andriessen (Eindhoven, The Netherlands; 1962) received his medical doctor degree (cum laude) in 1989 from the Faculty of Medicine at the University of Maastricht, The Netherlands. Between 1991 to 1996 he followed his training in Pediatrics at the Radboud University Hospital (Nijmegen) and Saint Joseph Hospital (presently named Máxima MC, Veldhoven). In 1996 he was registered as a pediatrician. Between 1996-1998 he followed a 30-month clinical fellowship in Neonatology at Máxima MC and the Free University of Amsterdam. Since 1999 he works as a neonatologist at Máxima MC. He is member of the Dutch Pediatric Society and Society of Pediatric Research.

Research profile

He obtained his Ph.D. degree in 2004 on baroreceptor reflex function in neonates from the University of Maastricht. His major research interests are patient monitoring, integrative physiology and long-term follow-up of extremely preterm infants.

From 2002 onwards he co-supervises master and PhD students of the Eindhoven University of Technology, who carry out research projects in the neonatal intensive care unit of Máxima MC in close collaboration with the Department of Clinical Physics. Between 2014-2019 he was involved as co-supervisor in several of the IMPULS II PhD projects on neonatal monitoring. From 2018 he is involved as co-supervisor in ALARM (project leader dr. ir. Carola van Pul), the project on Alarm Limiting and Algorithm-based Monitoring. Since 2018 he is project leader of the EPIDAF (Extremely Preterm Infants - Dutch Analysis on Follow-up) study, a national study on outcome in extremely preterm infants.

Education/Academic qualification

Medical specialisms, Doctor

External positions

Associate Professor in Pediatrics, Maastricht University Medical Center


Neonatologist, Maxima Medical Centre

1999 → …

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

  • 3 Similar Profiles
Premature Infants Medicine & Life Sciences
Electroencephalography Medicine & Life Sciences
Newborn Infant Medicine & Life Sciences
Gestational Age Medicine & Life Sciences
Neonatal Intensive Care Units Medicine & Life Sciences
Heart Rate Medicine & Life Sciences
Macropodidae Medicine & Life Sciences
Sheep Medicine & Life Sciences

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

Research Output 1993 2020

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, SPIE Medical Imaging. SPIE

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

Premature Infants
Network architecture
4 Downloads (Pure)

Amplitude-integrated electroencephalography applications and algorithms in neonates: a systematic review

Chen, C., Sun, C., Leonhardt, S., Andriessen, P., Niemarkt, H. & Chen, W., 30 Sep 2019, In : IEEE Access. 7, p. 141766-141781 16 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
Neonatal monitoring
22 Downloads (Pure)

Artifacts in pulse transit time measurements using standard patient monitoring equipment

Bennis, F. C., van Pul, C., van den Bogaart, J. J. L., Andriessen, P., Kramer, B. W. & Delhaas, T., 21 Jun 2019, In : PLoS ONE. 14, 6, 10 p., e0218784.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
Patient monitoring
Pulse Wave Analysis
Physiologic Monitoring
Time measurement
1 Citation (Scopus)
1 Downloads (Pure)

Automated preterm infant sleep staging using capacitive electrocardiography

Werth, J., Serteyn, A., Andriessen, P., Aarts, R. & Long, X., 4 Jun 2019, In : Physiological Measurement. 40, 5, 14 p., 055003.

Research output: Contribution to journalArticleAcademicpeer-review

Premature Infants

Student theses

A deeper understanding of RDS and the LISA-procedure: signal analysis and modelling approach

Author: Geurten, L., 28 Feb 2019

Supervisor: Bovendeerd, P. (Supervisor 1), Andriessen, P. (External coach) & van Pul, C. (External coach)

Student thesis: Master

Analysis of the heart rate mediated blood pressure control in fetal sheep under normal and hypoxic conditions

Author: Zwanenburg, A., 31 Dec 2011

Supervisor: Jennekens, W. (Supervisor 1), Andriessen, P. (External coach) & Wijn, P. (Supervisor 2)

Student thesis: Master


Assessment of functional connectivity in preterm newborns using automatic EEG analysis

Author: Hermans, K., 30 Apr 2013

Supervisor: Wijn, P. (Supervisor 1), Meijer, E. (External coach) & Andriessen, P. (External coach)

Student thesis: Master


Automatic detection of burst, IBI and continuous pattern of EEG of premature infants: towards a quantitative description of the change of continuity of EEG of premature infants

Author: Ruijs, L., 31 Oct 2007

Supervisor: Lommen, C. (External coach), Hilbers, P. (Supervisor 1), Wijn, P. (Supervisor 2), Andriessen, P. (External coach), Pasman, J. W. (External person) (External coach) & van Riel, N. (Supervisor 2)

Student thesis: Master

EEG analysis in full-term neonates: spectral analysis of medication in stroke patiens and 3D source

Author: Dankers, F., 31 Mar 2012

Supervisor: Jennekens, W. (Supervisor 1), Andriessen, P. (External coach) & Wijn, P. (Supervisor 2)

Student thesis: Master