Projects per year
Personal profile
Quote
I strive to create transformative technologies that improve people's health and well-being.
Research profile
Xi Long is an Associate Professor in the Biomedical Diagnostics (BM/d) lab, Signal Processing Systems (SPS) group, where he is deeply involved in advising, coordinating and participating in diverse collaborative projects with many industry and academic partners combining technology and healthcare, striving to transform technology into practical, impactful solutions that seamlessly integrate into everyday life.
Long’s expertise spans signal processing, time series analysis, and trustworthy machine learning. His research drives innovation across a wide range of applications in intelligent health monitoring, including unobtrusive vital signs sensing, sleep studies, neonatal and maternal health, cardiology, epilepsy and brain activity, and clinical decision support systems. These contributions reflect his commitment to improving healthcare outcomes through cutting-edge technology.
Academic background
Xi Long holds a BEng with honor in electronic information engineering from Zhejiang University in China and obtained his MSc in electrical engineering from the Eindhoven University of Technology (TU/e) in 2009. He worked at Tencent China as a project manager and user researcher from 2009 to 2011. He 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. He then joined Philips Research in 2016 and worked as a senior scientist and AI/Data lead, where he has been also a part-time assistant professor at the TU/e.
Long is an senior member of IEEE, an associate editor of Nature npj Digital Medicine, Health Informatics Journal, and Frontiers in Digital Health. He has published over 150 scientific articles and reports, generated nearly 20 patents and supervised more than 50 PhD/MSc students. He serves as a peer reviewer for research grants of several European countries, and for many leading international journals and conferences within his fields of expertise.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Doctor, PhD, Electrical Engineering (Signal Processing Systems), Eindhoven University of Technology
2011 → 2015
Award Date: 30 Jun 2015
Master, MSc, Electrical Engineering, Eindhoven University of Technology
2007 → 2009
Award Date: 25 Aug 2009
Bachelor, BEng, Electronics Information Engineering, Zhejiang University
2002 → 2006
Award Date: 30 Jun 2006
Fingerprint
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Projects
- 4 Active
-
TKI-HTSM/22.0501/TKI2212P12 MEDEIA: MEDical Engineering, Innovations and Applications
van Gilst, M. M. (Project member), Hafkamp, F. (Project member), van de Pol, J. (Project member), Basso, G. (Project member), Belt, H. J. W. (Project member), van de Schaft, V. (Project member), Bun, I. P. O. (Project member), Zwerver, P. G. (Project member), Long, X. (Project member), Mischi, M. (Project Manager), Chen, X. (Project member), Dassen, S. (Project member), Bergmans, J. W. M. (Project member), Dekker, J. (Project member), van Laar, J. O. E. H. (Project member) & Vullings, R. (Project member)
1/01/22 → 31/12/27
Project: Third tier
-
TKI-HTSM/21.0219/TKI2112P11 PISANO SPS: Perioperative Innovations, Sleep Apnea and Newborn Opportunities
van der Hagen, D. (Project communication officer), Long, X. (Project member), Turco, S. (Project member), Varisco, G. (Project member), Peri, E. (Project member), Stevens, T. S. W. (Project member), Barbagini, A. (Project member), de Vries, T. (Project member), Kuhn, J. (Project member), Schiphorst, L. (Project member), Mischi, M. (Project Manager), Bergmans, J. W. M. (Project member), Belt, H. J. W. (Project member), Woerlee, P. H. (Project member), Wulterkens, B. M. (Project member), Bakkes, T. H. G. F. (Project member) & Vullings, R. (Project member)
1/09/21 → 31/08/26
Project: Third tier
-
TKI-HTSM/20.0295/PPS2006 MEDUSA: Medical Data Utilization Solutions Accelerator
van Gilst, M. M. (Project member), Xie, J. (Project member), Huijben, I. (Project member), Wulterkens, B. M. (Project member), Hafkamp, F. (Project member), van de Pol, J. (Project member), Montree, R. J. H. (Project member), Abdalrahim, R. (Project member), Cerina, L. (Project member), Oei, S. G. (Project member), Vullings, R. (Project member), Mischi, M. (Project Manager), Bergmans, J. W. M. (Project member) & Long, X. (Project member)
1/01/20 → 5/02/26
Project: Third tier
-
TKI-HTSM/1912P08 PICASSO SPS: Perlnatal, CArdiovascular and Sleep medtech Solutions
van der Hagen, D. (Project communication officer), Peri, E. (Project member), van der Aar, J. (Project member), Peng, Z. (Project member), van Gorp, H. (Project member), Mischi, M. (Project Manager), Long, X. (Project member), Bester, M. (Project member) & Bergmans, J. W. M. (Project member)
1/01/20 → 31/12/25
Project: Third tier
-
A review on atrial fibrillation detection from ambulatory ECG
Ma, C., Xiao, Z., Zhao, L., Biton, S., Behar, J. A., Long, X. (Corresponding author), Vullings, R., Aarts, R. M., Li, J. & Liu, C., 1 Mar 2024, In: IEEE Transactions on Biomedical Engineering. 71, 3, p. 876-892 17 p., 10274126.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile2 Citations (Scopus)122 Downloads (Pure) -
Epileptic seizure detection by cascading isolation forest-based anomaly screening and EasyEnsemble
Guo, Y., Jiang, X., Tao, L., Meng, L., Dai, C., Long, X., Wan, F., Zhang, Y., Dijk, J. V., Aarts, R. M., Chen, W. (Corresponding author) & Chen, C. (Corresponding author), 2022, In: IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30, 99, p. 915-924 10 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile57 Citations (Scopus)99 Downloads (Pure) -
A deep transfer learning approach for wearable sleep stage classification with photoplethysmography
Radha, M. G., Fonseca, P., Moreau, A., Ross, M., Cerny, A., Anderer, P., Long, X. (Corresponding author) & Aarts, R. M., 15 Sept 2021, In: NPJ Digital Medicine. 4, 11 p., 135.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile82 Citations (Scopus)134 Downloads (Pure) -
Wearable sensing and telehealth technology with potential applications in the coronavirus pandemic
Ding, X.-R., Clifton, D., Ji, N., Lovell, N. H., Bonato, P., Chen, W., Yu, X., Xue, Z., Xiang, T., Long, X., Xu, K., Jiang, X., Wang, Q., Yin, B., Feng, G. & Zhang, Y.-T. (Corresponding author), 2021, In: IEEE Reviews in Biomedical Engineering. 14, p. 48-70 23 p., 9090987.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile229 Citations (Scopus)555 Downloads (Pure) -
Audio-based snore detection using deep neural networks
Xie, J., Aubert, X., Long, X. (Corresponding author), van Dijk, J., Arsenali, B., Fonseca, P. & Overeem, S., Mar 2021, In: Computer Methods and Programs in Biomedicine. 200, 9 p., 105917.Research output: Contribution to journal › Article › Academic › peer-review
Open Access41 Citations (Scopus)
Datasets
-
Pitfalls in EEG Analysis in Patients With Nonconvulsive Status Epilepticus: A Preliminary Study
Wang, Y. (Creator), Zibrandtsen, I. C. (Creator), Lazeron, R. H. C. (Creator), van Dijk, J. P. (Creator), Long, X. (Creator), Aarts, R. M. (Creator), Wang, L. (Creator) & Arends, J. B. A. M. (Creator), SAGE Journals, 2 Nov 2021
DOI: 10.25384/sage.c.5689117, https://sage.figshare.com/collections/Pitfalls_in_EEG_Analysis_in_Patients_With_Nonconvulsive_Status_Epilepticus_A_Preliminary_Study/5689117
Dataset
-
Can pre-trained convolutional neural networks be directly used as a feature extractor for video-based neonatal sleep and wake classification?
Awais, M. (Creator), Long, X. (Creator), Yin, B. (Creator), Chen, C. (Creator), Akbarzadeh, S. (Creator), Abbasi, S. F. (Contributor), Irfan, M. (Creator), Lu, C. (Contributor), Wang, X. (Contributor), Wang, L. (Contributor) & Chen, W. (Creator), Figshare, 5 Nov 2020
DOI: 10.6084/m9.figshare.c.5197372, https://springernature.figshare.com/collections/Can_pre-trained_convolutional_neural_networks_be_directly_used_as_a_feature_extractor_for_video-based_neonatal_sleep_and_wake_classification_/5197372
Dataset
Prizes
-
Best student paper award - IEEE BIBE2012
Long, X. (Recipient), Nov 2012
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
-
First runner-up paper award - IEEE BHI2012
Long, X. (Recipient), Jan 2012
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
Activities
- 2 Workshop, seminar, course or exhibition
-
IEEE 23rd International Conference on Digital Signal Processing (DSP)
Long, X. (Organiser) & Chen, W. (Organiser)
20 Nov 2018Activity: Participating in or organising an event types › Workshop, seminar, course or exhibition › Scientific
-
14th International Conference on Wearable and Implantable Body Sensor Networks (BSN 2017)
Varon, C. (Organiser) & Long, X. (Organiser)
9 May 2017Activity: Participating in or organising an event types › Workshop, seminar, course or exhibition › Scientific
Courses
Press/Media
-
Reports on Science and Technology Findings from Eindhoven University of Technology Provide New Insights (Continuous sensing and quantification of body motion in infants: A systematic review)
Peng, Z., Andriessen, P., van Pul, C. & Long, X.
31/07/23
1 item of Media coverage
Press/Media: Expert Comment
-
Steps towards a safe and silent neonatal ICU
van Pul, C., Varisco, G., Andriessen, P. & Long, X.
23/03/23
1 item of Media coverage
Press/Media: Expert Comment
-
Camera-based heart rate estimation for hospitalized newborns in the presence of motion artifacts
Long, X., Chen, W., Chen, W., Chen, W. & Wang, Y.
4/12/21
1 item of Media coverage
Press/Media: Expert Comment
Thesis
-
Analysis and prediction of daily physical activity level data and behaviors based on a triaxial accelerometer
Long, X. (Author), Aarts, R. M. (Supervisor 1), 31 Aug 2009Student thesis: Master