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Personal profile


“I always believe opening my eyes to see different worlds will encourage me to think about things that better our life.”

Research profile

Xi Long is Assistant Professor in the Signal Processing Systems group, where he advises, coordinates and participates in many collaborative projects (with, for example, Philips, Maxima Medical Center, Kempenhaeghe, UMC Utrecht, KU Leuven, Fudan University and others) combining signal processing, data analysis, and healthcare.

Long’s expertise is in signal processing, time series analysis, machine learning, data analytics, deep learning and mathematical modeling. His research interests include engineering for biomedical applications such as unobtrusive sensing, patient monitoring, vital signs monitoring, sleep, physical activity, perinatal and pregnancy monitoring, cardiorespiratory dynamics, psycho-physiological analysis, epilepsy, and brain activity.

In addition, Long has published over 70 scientific articles and reports, generated more than 20 IPs or patent filings and supervised more than 15 PhD or MSc students. He is a peer reviewer of more than 20 prestigious international journals/conferences in his research areas.

Academic background

Xi Long holds a BSc with honor in Electronic Information Engineering from Zhejiang University (China) and obtained his MSc in Electrical Engineering from Eindhoven University of Technology (TU/e) in 2009. He worked at Philips as a researcher from 2008 to 2009 and at Tencent (China) as project manager and UX engineer from 2009 to 2011. He then went on to do his PhD at TU/e and Philips Research, on signal processing and machine learning in unobtrusive sleep monitoring, which he completed cum laude in 2015. Long currently wears several hats: he is a Scientist and Lead FPP Data Analytics Cluster at Philips Research, a Project Coordinator at Maxima Medical Center and UMC Utrecht, and an Assistant Professor at TU/e.

Education/Academic qualification

Eindhoven University of Technology

1 Jul 201130 Jun 2015

Eindhoven University of Technology

1 Sep 200725 Aug 2009

Zhejiang University

Oct 200230 Jun 2006

External positions

Scientist, Philips Research

1 Apr 2016 → …

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Research Output 2009 2019

5 Citations

EEG analysis of seizure patterns using visibility graphs for detection of generalized seizures

Wang, L., Long, X., Arends, J. B. A. M. & Aarts, R. M., 1 Oct 2017, In : Journal of Neuroscience Methods. 290, p. 85-94 10 p.

Research output: Contribution to journalArticleAcademicpeer-review

Intellectual Disability
17 Citations

Unobtrusive sleep state measurements in preterm infants - A review

Werth, J. V. S. W., Atallah, L., Andriessen, P., Long, X., Zwartkruis-Pelgrim, E. & Aarts, R. M., 2017, In : Sleep Medicine Reviews. 32, p. 109-122 14 p.

Research output: Contribution to journalArticleAcademicpeer-review

Premature Infants
2 Citations

Hybrid optical unobtrusive blood pressure measurements

Zhang, G., Shan, C., Kirenko, I., Long, X. & Aarts, R. M., 1 Jul 2017, In : Sensors. 17, 7, p. 1-15 15 p., 1541

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
blood pressure
Blood pressure
pressure measurement
Pressure measurement
10 Citations

Time delay between cardiac and brain activity during sleep transitions

Long, X., Arends, J. B. A. M., Aarts, R. M., Haakma, R., Fonseca, P. & Rolink, J., 2015, In : Applied Physics Letters. 106, 14, p. 143702-1/4 4 p., 143702

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
time lag
eye movements
40 Citations

Sleep and wake classification with actigraphy and respiratory effort using dynamic warping

Long, X., Fonseca, P., Foussier, J., Haakma, R. & Aarts, R. M., 2014, In : IEEE Journal of Biomedical and Health Informatics. 18, 4, p. 1272-1284 13 p.

Research output: Contribution to journalArticleAcademicpeer-review

Healthy Volunteers

Student theses

An unobtrusive surrogate blood pressure measurement by a camera and a contact sensor

Author: Zhang, G., 27 Oct 2016

Supervisor: Long, X. (Supervisor 1) & Shan, C. (External person) (External coach)

Student thesis: Master

Feature extraction for deep sleep detection

Author: Yang, J., 31 Aug 2013

Supervisor: Long, X. (Supervisor 1), Haakma, R. (External coach), Calders, T. (Supervisor 2), Hoang, T. (Supervisor 2) & Serebrenik, A. (Supervisor 2)

Student thesis: Master