Publications
Publications
[120] G. Gronska, E. Peri, X. Long, S. Overeem, J.P. van Dijk, M. Mischi.
Comparative analysis of electrode configurations for estimating respiratory effort from diaphragmatic electromyography.
Submitted.
[119] E.L. de Vries, C. Huang, M.H.M. Segers, M.B. van der Hout-van der Jagt, X. Long, E. van den Heuvel, S.G. Oei, M. van der Ven.
Performance monitoring tools for improving maternal and newborn care: A systematic review of the literature.
To submit, 2025.
[118] Y. Wu, S. Asvadi, M. van der Ven, M.B. van der Hout-van der Jagt, E. Peri, R. Vullings, J. van Laar, M. Mischi, X. Long.
Association between early pregnancy cardiorespiratory coupling and pregnancy complications.
Submitted, 2025.
[117] H. Chen, et al.
MsFIHMamba: A dynamic dual feature fusion network utilizing multi-scale and omnidirectional strategies for enhanced acromegaly diagnosis.
Submitted, 2025.
[116] G. Gronska, E. Peri, X. Long, S. Overeem, J.P. van Dijk, M. Mischi.
Multidimensional decomposition framework for electrocardiographic interference, noise and artifacts removal from diaphragmatic electromyography.
Submitted, 2025.
[115] W. He et al.
A data-knowledge fusion framework for improved diagnosis, stratification, and prognosis of acromegaly.
Submitted, 2025.
[114] H. Chen et al.
ALA-SGS: Robust 3D acromegaly diagnosis via synergistic local-global point cloud learning.
Submitted, 2025.
[113] Y. Wu, S. Asvadi, M. van der Ven, E. Peri, M.B. van der Hout-van der Jagt, S.G. Oei, M. Mischi, X. Long.
Predicting macrosomia using maternal and fetal data.
Submitted to CMPB, 2025.
[112] M. Shahbakhti, A. Bosch, X. Long, J.P. van Dijk, R. Thijs.
Pulse-based photoplethysmography quality assessment improves wearable seizure detection performance.
Submitted to Epilepsia Open, 2025.
[111] G. Basso, X. Long, R. Haakma, R. Vullings.
Reduction of motion artifacts from photoplethysmography signals using learned convolutional sparse coding.
Submitted to Physiological Measurement, 2025. [preprint]
[110] S. Babac, G. de Haan, L.P.J. Vosters, M.J.H. van Gastel, X. Long, R. Vullings, S. Zinger.
Machine learning-based remote PPG signal quality assessment for in-vehicle driver health monitoring.
Submitted to Biomedical Signal Processing and Control, 2025.
[109] J. Koolwijk, S. Babac, M. van 't Veer, H.J. Schotten, X. Long, R. Vullings, R.A. Bouwman.
Methadone administration in major non-cardiac surgery is not associated with increased incidence of intraoperative QTc prolongation.
Submitted, 2025.
[108] M. Shahbakhti, A. Bosch, X. Long, J.P. van Dijk, R. Thijs.
Characterizing vascular tone in nocturnal major motor seizures using wearable photoplethysmography.
Seizure: European Journal of Epilepsy, 2025. [doi]
[107] Z. Peng, J.S. Schouten, D. Silvertand, X. Long, D.E. Lake, H.R. Taal, H. Niemarkt, P. Andriessen, B. Sullivan, C. van Pul.
External validation complexities: A comparative study of late-onset sepsis prediction models across multiple clinical environments.
IEEE Transactions on Biomedical Engineering, 2025. [doi]
[106] C. Dong, J.P. van Dijk, Y. Wang, R.M. Aarts, X. Long.
Detection of nocturnal epileptic seizures using a wearable armband: A deep learning approach combining accelerometry and photoplethysmography signals.
Computer Methods and Programs in Biomedicine, 273: 109087, 2025. [pdf] [doi]
[105] G. Gronska, E. Peri, X. Long, S. Overeem, J.P. van Dijk, M. Mischi.
Estimation of respiratory effort through diaphragmatic electromyography features.
Sensors, 25(17): 5463, 2025. [doi]
[104] G. Palladino, Z. Peng, D. Kommers, H. van den Boom, O. Raz, X. Long, P. Andriessen, H. Niemarkt, C. van Pul.
A two-dimentional position and motion monitoring system for preterm infants using a fiber-optic pressure-sensitive mattress.
Sensors, 25(15): 4774, 2025. [pdf] [doi]
[103] G. Varisco, Z. Peng, H. Niemarkt, P. Andriessen, C. van Pul, X. Long.
Improving central apnea detection in preterm infants: neural network strategies and clinical impact.
Computer Methods and Programs in Biomedicine, 272: 109038, 2025. [doi]
[102] J. Yang, T. Ru, W. Liu, H. Bai, X. Long, Q. Chen, G. Zhou.
Dose bright light modulate the time-of-day effect on alertness, cognitive performance, and physiological arousal.
Biological Rhythm Research, 2025.
[101] Y. Wu, S. Asvadi, M. van der Ven, M.B. van der Hout-van der Jagt, E. Peri, P. Fonseca, S. Overeem, S.G. Guid, M. Mischi, X. Long.
Overnight maternal heart rate variability for early prediction of gestational diabetes mellitus: A retrospective cohort study.
npj Women's Health, 3: 37, 2025. [pdf] [doi]
[100] S. Lin, Z. Wang, H. van Gorp, M. Xu, M.M. van Gilst, S. Overeem, J.-P. Linnartz, P. Fonseca, X. Long.
SSC-SleepNet: A Siamese-based automatic sleep staging model with improved N1 sleep detection.
IEEE Journal of Biomedical and Health Informatics, 29(9): 6830-6843, 2025. [doi]
[99] T. Lyu, Q. Zhang, J. Qiu, C. Wu, C. Chen, P. Lu, B. Zhang, X. Long, G. Shen.
Harnessing multiscale time-frequency BCG feature fusion for bedside atrial fibrillation detection.
Biomedical Signal Processing and Control, 108: 107885, 2025. [doi]
[98] J. Xie, P. Fonseca, J.P. van Dijk, S. Overeem, X. Long.
Multi-modal multi-task deep neural networks for sleep disordered breathing assessment using cardiac and audio signals.
International Journal of Medical Informatics, 201: 105932, 2025. [pdf] [doi]
[97] S. el Manouni el Hassani, N.M. Freichs, D.J.C. Berkhout, T. Nijsen, H.H. Knobel, H. Weda, M. Xu, X. Long, L. Wijnoltz, M.M. van Weissenbruch, A.H. van Kaam, V. Cossey, C.F.W. Peeters, R.A. van Lingen, C.V. Hulzebos, D.C. Vijlbrief, W.P. de Boode, B.W. Kramer, A.E. Budding, M.A. Benninga, N.K.H. de Boer, H.J. Niemarkt, T.G.J. de Meij.
Longitudinal fecal microbiota and volatile metabolomics preceeding necrotizing enterocolitis in preterm infants: a case-control study.
Scientific Reports, 15: 10419, 2025. [pdf] [doi]
[96] B. Zhang, Z. Peng, C. Dong, J. Hu, X. Long, T. Lyu, P. Lu.
Non-obtrusive monitoring of obstructive sleep apnea syndrome based on ballistocardiography: A preliminary study.
Frontiers in Neuroscience, 2025.
[E3] S.H. Choi, H. Yoon, H.J. Baek, X. Long.
Editorial: Biomedical signal processing and health monitoring based on sensors.
Sensors, 25(3): 641, 2025. [pdf] [doi]
[95] C. Huang, X. Long, M. van der Ven, M. Kaptein, G.S. Oei, E. van den Heuvel.
Predicting preterm birth with electronic medical records from multiple prenatal visits.
BMC Pregnancy and Childbirth, 24: 843, 2024. [pdf] [doi]
[94] M. Yang, Z. Peng, C. van Pul, P. Andriessen, K. Dong, D. Silvertand, J. Li, C. Liu, X. Long.
Continuous prediction and clinical alarm management of late-onset sepsis in preterm infants using vital signs from a patient monitor.
Computer Methods and Programs in Biomedicine, 255: 108335, 2024. [pdf] [doi]
[93] Dan Zhang, C. Liu, T. Tan, B. Dashtbozorg, X. Long, X. Xu, J. Zhang, C. Shan.
BSANet: Boundary-aware and scale-aggregation networks for CMR image segmentation.
Neurocomputing, 599: 128125, 2024. [doi]
[92] X. Xing, J. Hong, J. Alastruey, X. Long, H. Liu, W. Dong.
Robust arterial compliance estimation with Katz's fractal dimension of photoplethysmography.
Frontiers in Physiology, 15: 1398904, 2024. [pdf] [doi]
[91] J. Xie, P. Fonseca, J. van Dijk, S. Overeem, X. Long.
A multi-task learning model using RR intervals and respiratory effort to assess sleep disordered breathing.
Biomedical Engineering OnLine, 23: 45, 2024. [pdf] [doi]
[90] M. van der Linden, E.S. Veldhoen, E.A. Emamzadeh-Hashemi, X. Long, T. Alderliesten, M.J.N.L. Benders, R. de Goederen, J. Dudink.
Noncontact respiration monitoring techniques in young children: a scoping review.
Pediatric Pulmonology, 59(7): 1871-1884, 2024. [pdf] [doi]
[89] Y. Wu, P. Hamelmann, M. van der Ven, S. Asvadi, M.B. van der Hout-van der Jagt, G.S. Oei, M. Mischi, J. Bergmans, X. Long.
Early prediction of gestational diabetes mellitus using maternal demographic and clinical risk factors.
BMC Research Notes, 17: 105, 2024. [pdf] [doi]
[88] D. Zhang, Z. Peng, S. Sun, C. van Pul, C. Shan, J. Dudink, P. Andriessen, R.M. Aarts, X. Long.
Characterising the motion and cardiorespiratory interaction of preterm infants can improve the classification of their sleep state.
Acta Paediatrica, 113(6): 1236-1245, 2024. [pdf] [doi]
[87] S. Lin, M. Yang, C. Liu, Z. Wang, X. Long.
A pretrain-finetune approach for improving model generalizability in outcome prediction of acute respiratory distress syndrome patients.
International Journal of Medical Informatics, 186: 105397, 2024. [pdf] [doi]
[86] M. Yang, H. Chen, W. Hu, M. Mischi, C. Shan, J. Li, X. Long, C. Liu.
Development and validation of an interpretable conformal predictor to predict sepsis mortality risk: Retrospective cohort study.
Journal of Medical Internet Research, 26: e50369, 2024. [pdf] [doi]
[85] Z. Peng, Y. Zhao, D. Kommers, H. van den Boom, R.-H. Liang, X. Long, H. Niemarkt, P. Andriessen, C. van Pul.
Movement quantification in preterm infants using fiber mat: Advancing long-term monitoring in hospital settings.
IEEE Transactions on Instrumentation and Measurement, 73: 4003810, 2024. [pdf] [doi]
[84] Q. Wu, F. Ye, Q. Gu, F. Shao, Z. Zhan, X. Long, J. He, Y. Zhang, Q. Xiao.
A customised down-sampling machine learning approach for sepsis prediction.
International Journal of Medical Informatics, 184: 105365, 2024. [doi]
[83] G. Varisco, Z. Peng, D. Kommers, E.J.E. Cottaar, P. Andriessen, X. Long, C. van Pul.
Detecting central apneas using multichannel signals in premature infants.
Physiological Measurement, 45: 025009, 2024. [pdf] [doi]
[82] X. Wang, E.R. de Groot, M.L. Tataranno, A. van Baar, F. Lammertink, T. Alderliesten, X. Long, M.J.N.L. Benders, J. Dudink.
Machine learning-derived active sleep as an early predictor of white matter development in preterm infants.
The Journal of Neuroscience, 44(5): e1024232023, 2024. [doi]
[81] Z. Xiao, C. Yang, Y. Li, Y. Xing, C. Ma, Y. Zhang, X. Long, J. Li, C. Liu.
Human eye activity monitoring using continous wave Doppler radar: A feasibility study.
IEEE Transactions on Biomedical Circuits and Systems, 2024. [doi]
[80] C. Ma, Z. Xiao, L. Zhao, S. Biton, J.A. Behar, X. Long, R. Vullings, R.M. Aarts, J. Li, C. Liu.
A review on atrial fibrillation detection from ambulatory ECG.
IEEE Transactions on Biomedical Engineering, 71(3): 876-892, 2024. [doi]
[79] C. Ma, X. Long, W. Sheng, R. Vullings, M. Yang, L. Zhao, R.M. Aarts, J. Li, C. Liu.
An atrial fibrillation detection strategy in dynamic ECGs with significant individual differences.
IEEE Transactions on Instrumentation and Measurement, 73: 4002010, 2023. [doi]
[78] D. Zhang, Z. Peng, C. van Pul, S. Overeem, W. Chen, J. Dudink, P. Andriessen, R.M. Aarts, X. Long.
Combining cardiorespiratory signals and video-based actigraphy for classifying preterm infant sleep states.
Children, 10(11): 1792, 2023. [pdf] [doi]
[77] D. Zhai, X. Bao, X. Long, T. Ru, G. Zhou.
Precise detection and localization of R-peaks from ECG signals.
Mathematical Biosciences and Engineering, 20(11): 19191-19208, 2023. [pdf] [doi]
[76] E. Arasteh, E.S. Veldhoen, X. Long, M. van Poppel, M. van der Linden, T. Alderliesten, J. Nijman, R. de Goederen, J. Dudink.
Ultra-wideband radar for simultaneous and unobtrusive monitoring of respiratory and heart rates in early childhood: A deep learning approach.
Sensors, 23(18): 7665, 2023. [pdf] [doi]
[75] Z. Peng, D. Kommers, R.H. Liang, X. Long, W. Cottaar, H. Niemarkt, P. Andriessen, C. van Pul.
Continuous sensing and quantification of body motion in infants: A systematic review.
Heliyon, 9(7): e18234, 2023. [pdf] [doi]
[74] J. Xie, P. Fonseca, J. van Dijk, X. Long, S. Overeem.
The use of respiratory effort improves an ECG-based deep learning algorithm to assess sleep disordered breathing.
Diagnostics, 13(13): 2146, 2023. [pdf] [doi]
[73] E. Arasteh, E.R. de Groot, D. van den Ende, T. Alderliesten, X. Long, R. de Goederen, M. Benders, J. Dudink.
Unobtrusive cot side sleep stage classification in preterm infants using ultra-wideband radar.
Frontiers in Sleep, 2: 1150962, 2023 [pdf] [doi]
[72] J. Xie, P. Fonseca, J.P. van Dijk, S. Overeem, X. Long.
Assessment of obstructive sleep apnea severity using audio-based snoring features.
Biomedical Signal Processing and Control, 86(A): 104942, 2023. [preprint] [pdf] [doi]
[71] Y. Wang, I.C. Zibrandtsen, R.H.C. Lazeron, X. Long, J.P. van Dijk, R.M. Aarts, L. Wang, J.B. Arends.
Pitfalls in EEG analysis in patients with non-convulsive status epilepticus.
Clinical EEG and Neuroscience, 54(3): 255-264, 2023. (IF: 2.046) [pdf] [doi]
[70] W. Liang, Y. Yang, F. Li, X. Long, C. Shan.
Mask-guided modality difference reduction network for RGB-T semantic segmentation.
Neurocomputing, 523: 9-17, 2023. [doi]
[69] Z. Peng, G. Varisco, X. Long, R.-H. Liang, D. Kommers, E.J.E. Cottaar, P. Andriessen, C. van Pul.
A continuous late-onset sepsis prediction algorithm for preterm infants using multi-channel physiological signals from a patient monitor.
IEEE Journal of Biomedical and Health Informatics, 27(1): 550-561, 2023. [preprint] [pdf] [doi]
[68] S. Sun, E. Bresch, J. Muehlsteff, L. Schmitt, X. Long, R. Bezemer, I. Paulussen, G.J. Noordergraaf, R.M. Aarts.
Systolic blood pressure estimation using ECG and PPG in patients undergoing surgery.
Biomedical Signal Processing and Control, 79: 104040, 2022. [preprint] [pdf] [doi]
[O3] G. Varisco, D. Kommers, H. van de Mortel, J. vd Bogaart, T. Mohns, X. Long, W. vd Biggelaar, P. Andriessen, C. van Pul.
Optimalisatie van Patiëntbewaking en medische alarmering in de NICU.
MT Integraal, artikel, oktober 2022. [link] (Online magzine, written in Dutch and adapted based on [52])
[67] Z. Peng, G. Varisco, R.-H. Liang, D. Kommers, E.H.E. Cottaar, P. Andriessen, C. van Pul, X. Long.
DeepLOS: Deep learning for late-onset sepsis prediction in preterm infants using heart rate variability.
Smart Health, 26: 100335, 2022. [pdf] [doi]
[66] G. Varisco, Z. Peng, D. Kommers, Z. Zhan, E.J.E. Cottaar, P. Andriessen, X. Long, C. van Pul.
Central apnea detection in premature infants using machine learning.
Computer Methods and Programs in Biomedicine, 226: 107155, 2022. [pdf] [doi]
[65] C. Dong, T. Ye, Y. Wang, X. Long, R.M. Aarts, J.P. van Dijk, C. Shang, X. Liao, W. Chen, W. Lai, L. Chen.
A two-layer ensemble method for detecting epileptic seizures using a self-annotation bracelet with motor sensors.
IEEE Transactions on Instrumentation and Measurement, 71: 4005013, 2022. [doi]
[64] Y. Guo, X. Jiang, L. Tao, L. Meng, C. Dai, X. Long, F. Wan, Y. Zhang, J.P. van Dijk, R.M. Aarts, W. Chen, C. Chen.
Epileptic seizure detection by cascading isolation forest-based anomaly screening and EasyEnsamble.
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30: 915-924, 2022. [pdf] [doi]
[63] R.A. Otte, X. Long, J. Westerink.
A behavioural approach to annotating sleep in infants: Building on the classic framework.
Physiological Reports, 10(3): e15178, 2022. [pdf] [doi]
[E2] C. Chen, C. Shan, R.M. Aarts, X. Long.
Editorial: Sensing and computing for smart healthcare.
Journal of Ambient Intelligence and Smart Environments, 14(1): 3-4, 2022. [pdf] [doi]
[E1] F. Chi, Q. Xu, X. Long.
Editorial: Physical model and applications of high-efficiency electro-optical conversion devices.
Frontiers in Physics, 9: 819303, 2021. [pdf] [doi]
[O2] Y. Wang, F. Beuving, J. Nonnekes, M.X. Cohen, X. Long, R.M. Aarts, R.J.A. van Wezel.
Characterizing and detecting freezing of gait using multi-modal physiological signals.
arXiv, 2009.12660, 2021. [preprint]
[62] J. Xie*, X. Long*, R. Otte, C. Shan.
Convolutional neural networks for audio-based continuous infant cry monitoring at home.
IEEE Sensors Journal, 21(24): 27710-27717, 2021. *Joint first authorship. [doi]
[61] Q. Chen, Y. Wang, X. Liu, X. Long, B. Yin, C. Chen, W. Chen.
Camera-based heart rate estimation for hospitalized newborns in the presence of motion artifacts.
BioMedical Engineering Online, 20: 122, 2021. [pdf] [doi]
[60] M. Radha, P. Fonseca, A. Moreau, M. Ross, A. Cerny, P. Anderer, X. Long, R.M. Aarts.
A deep transfer learning approach for wearable sleep stage classification with photoplethysmography.
npj Digital Medicine, 4: 135, 2021. [pdf] [doi]
[59] B.M. Wulterkens, P. Fonseca, L.W.A. Hermans, M. Ross, A. Cerny, P. Anderer, X. Long, J.P. van Dijk, N. Vandenbussche, S. Pillen, M.M. van Gilst, S. Overeem.
It is all in the wrist: wearable sleep staging in a clinical population versus reference polysomnography.
Nature and Science of Sleep, 13: 885-897, 2021. [pdf] [doi]
[58] M. Awais, X. Long, B. Yin, S.F. Abbasi, S. Akbarzadeh, C. Lu, X. Wang, L. Wang, J. Zhang, J. Dudink, W. Chen.
A hybrid DCNN-SVM model for classifying neonatal sleep and wake states based on facial expressions in video.
IEEE Journal of Biomedical and Health Informatics, 25(5): 1441-1449, 2021. [doi]
[57] R. de Goederen, S. Pu, M. Silos Viu, D. Doan, S. Overeem, W.A. Serdijn, K.F.M. Joosten, X. Long, J. Dudink.
Radar-based sleep stage classification in children undergoing polysomnography: a pilot study.
Sleep Medicine, 82: 1-8, 2021. [pdf] [doi]
[56] E. R. de Groot, M.S. Knoop, A. van den Hoogen, X. Wang, X. Long, M. Benders, J. Dudink.
The value of cardiorespiratory parameters for sleep state classification in preterm infants: A systematic review.
Sleep Medicine Reviews, 58: 101462, 2021. [pdf] [doi]
[55] D. Zhang, X. Long, J. Werth, L. Xu, R. Wijshoff, R.M. Aarts, P. Andriessen.
Characterizing cardiorespiratory interaction of sleep states in preterm infants using visibility graph analysis.
Journal of Applied Physiology, 130(4): 1015-1024, 2021. [doi]
[54] X. Long, J. Espina, R. Otte, W. Wang, R.M. Aarts, P. Andriessen.
Video-based actigraphy is an effective contact-free method for assessing sleep in preterm infants.
Acta Paediatrica, 110(6): 1815-1816, 2021. [pdf] [doi]
[53] Y. Xu, X. Long, Z. Luo, M. Mischi, L. Xu.
Influence of spectral peaks on EMG parameter estimation for vibration-exercise analysis.
IEEE Sensors Journal, 21(13): 14141-14147, 2021. [doi]
[52] G. Varisco, H. van de Mortel, L. Cabrera-Quiros, L. Atallah, D. Hueske-Kraus, W. van den Biggelaar, X. Long, E.J.E. Cottaar, D. Kommers, Z. Zhan, P. Andriessen, C. van Pul.
Optimization of the clinical workflow safely reduces alarms in a single-family room neonatal intensive care unit.
Acta Paediatrica, 110(4): 1141-1150, 2021. [pdf] [doi]
Highlighted on Editorial by Atle Moen, We need «smartmonitors» in the NICU, Acta Paediatrica, 110(4): 1092-1093, 2021 [pdf] [doi]
[51] X. Ding, D. Clifton, N. Ji, N.H. Lovell, P. Bonato, W. Chen, X. Yu, Z. Xue, T. Xiang, X. Long, K. Xu, X. Jiang, Q. Wang, B. Yin, G. Feng, Y.-T. Zhang.
Wearable sensing and telehealth technology with potential applications in the coronavirus pandemic.
IEEE Reviews in Biomedical Engineering, 14: 48-70, 2021. [pdf] [doi]
[50] J. Xie, X. Aubert, X. Long, J. van Dijk, B. Arsenali, P. Fonseca, S. Overeem.
Audio-based snore detection using deep neural networks.
Computer Methods and Programs in Biomedicine, 200: 105917, 2021. [pdf] [doi]
[49] E. Peri, L. Xu, C. Ciccarelli, N.L. Vandenbussche, H. Xu, X. Long, S. Overeem, J.P. van Dijk, M. Mischi.
Singular value decomposition for removal of cardiac interference from trunk electromyogram.
Sensors, 21(2): 573, 2021. [pdf] [doi]
[48] M.M. van Gilst, B.M. Wulterkens, P. Fonseca, M. Radha, M. Ross, A. Moreau, A. Cerny, P. Anderer, X. Long, J.P. van Dijk, S. Overeem.
Direct application of an ECG-based sleep staging algorithm on reflective photoplethysmography data decreases performance.
BMC Research Notes, 13: 513, 2020. [pdf] [doi]
[47] M. Awais, X. Long, B. Yin, C. Chen, S. Akbarzadeh, S.F. Abbasi, M. Irfan, C. Lu, X. Wang, L. Wang, W. Chen.
Can pre-trained convolutional neural networks be directly used as a feature extractor for video-based neonatal sleep and wake classification?
BMC Research Notes, 13: 507, 2020. [pdf] [doi]
[46] S.F. Abbasi, J. Ahmed, A. Tahir, M. Awais, C. Chen, M. Irfan, H.A. Siddiqa, A.B. Waqas, X. Long, B. Yin, S. Akbarzadeh, C. Lu, L. Wang, W. Chen.
EEG-based neonatal sleep-wake classification using multilayer perception neural network.
IEEE Access, 8: 183025-183034, 2020. [pdf] [doi]
[45] S. Moors, N.H.M. van Oostrum, C. Rabotti, X. Long, M.E.M.H. Westerhuis, H.M.C. Kemps, S. G. Oei, J.O.E.H. van Laar.
Speckle tracking echocardiography in hypertensive pregnancy disorders: a systematic review.
Obstetrical & Gynecological Survey, 75(8): 497-509, 2020. [doi] [CME education]
[O1] C. Huang*, X. Long*, Z. Zhan, E. van den Heuvel.
Model stability of COVID-19 mortality prediction with biomarkers.
medRxiv, 2020.07.29.20161323: 1-8, 2020 (*Joint first authorship). [pdf] [doi]
[44] Y. Wang, X. Long, J.P. van Dijk, R.M. Aarts, J. Arends.
False alarms reduction in non-convulsive epileptics status detection via continuous EEG analysis.
Physiological Measurement, 41: 055009, 2020. [doi]
[43] M. Awais, C. Chen, X. Long, B. Yin, A. Nawaz, S.F. Abbasi, S. Akbarzadeh, L.Tao, C. Lu, L. Wang, R.M. Aarts, W. Chen.
Novel framework: Face feature selection algorithm for neonatal facial and related attributes recognition.
IEEE Access, 8: 59100-59113, 2020. [pdf] [doi]
[42] P. Fonseca, M.M. van Gilst, M. Radha, M. Ross, A. Moreau, A. Cerny, P. Anderer, X. Long, J.P. van Dijk, S. Overeem.
Automatic sleep staging using heart rate variability, body movements and recurrent neural networks in a sleep disordered population.
Sleep, 43(9): zsaa048, 2020. [doi]
[41] J. Werth, M. Radha, P. Andriessen, R.M. Aarts, X. Long.
Deep learning approach for ECG-based automated sleep state classification in preterm infants.
Biomedical Signal Processing and Control, 56: 101663, 2020. [pdf] [doi]
[40] Y. Sun, W. Wang, X.Long, M. Meftah, T. Tan, C. Shan, R.M. Aarts, P.H.N. de With.
Respiration monitoring for premature neonates in NICU.
Applied Sciences, 9: 5246, 2020. [pdf] [doi]
[39] M. Radha, P. Fonseca, A. Moreau, M. Ross, A. Cerny, P. Anderer, X. Long, R.M. Aarts.
Sleep stage classification from heart-rate variability using long short-term memory neural networks.
Scientific Reports, 9(1): 14149, 2019. [pdf] [doi]
[38] R. Joshi, Z. Peng, X. Long, L. Feijs, P. Andriessen, C. van Pul.
Predictive monitoring of critical cardiorespiratory alarms in neonates under intensive care.
IEEE Journal of Translational Engineering in Health and Medicine, 7: 2700310, 2019. [pdf] [doi]
[37] X. Deng, J.-P.M.G. Linnartz, X. Long, G. Zhou .
Reading analysis for barcode scanner with interference from LED-based lighting.
IEEE Access, 7: 96787-96798, 2019. [pdf] [doi]
[36] J. Werth, A. Serteyn, P. Andriessen, R.M. Aarts, X. Long.
Automated preterm infant sleep staging using capacitive electrocardiography.
Physiological Measurement, 40(5): 055003, 2019. [pdf] [doi]
[35] X. Long, R. Otte, E. van der Sanden, J. Werth, T. Tan.
Video-based actigraphy for monitoring wake and sleep in healthy infants: a laboratory study.
Sensors, 19(5): 1075/1-10, 2019. [pdf] [doi]
[34] L. Wang, X. Long, R.M. Aarts, J.P. van Dijk, J.B.A.M. Arends.
A broadband method of quantifying phase synchronization for discriminating seizure EEG signals.
Biomedical Signal Processing and Control, 52: 371-383, 2019. [pdf] [doi]
[33] Y. Sun, C. Shan, T. Tan, X. Long, A. Pourtaherian, S. Zinger, P.H.N. de With.
Video-based discomfort detection for infants.
Machine Vision and Applications, 30(5) :933-944, 2019. [pdf] [doi]
[32] L.Wang, J.B.A.M. Arends, X. Long, J.P. van Dijk, R.M. Aarts.
EEG-based seizure detection in patients with intellectual disability: which EEG and clinical factors are important?
Biomedical Signal Processing and Control, 49: 404-418, 2019. [pdf] [doi]
[31] J. Rolink, P. Fonseca, X. Long, S. Leonhardt.
Improving sleep/wake classification with recurrence quantification analysis features.
Biomedical Signal Processing and Control, 49: 78-86, 2019. [doi]
[30] S. Sun, W.H. Peeters, R. Bezemer, X. Long, I. Paulussen, R.M. Aarts, G.J. Noordergraaf.
Finger and forehead photoplethysmography-derived pulse-pressure variation and the benefits of baseline correction.
Journal of Clinical Monitoring and Computing, 33(1): 65-75, 2019. [pdf] [doi]
[29] R. Joshi, D. Kommers, X. Long, L. Feijs, S. Van Huffel, C. van Pul, P. Andriessen.
Cardiorespiratory coupling in preterm infants.
Journal of Applied Physiology, 126(1): 202-213, 2019. [doi]
[28] R. Joshi, B. Bierling, X. Long, J. Weijers, L. Feijs, C. van Pul, P. Andriessen.
A ballistographic approach for continuous and non-obtrusive monitoring of movement in neonates.
IEEE Journal of Translational Engineering in Health and Medicine, 6: 2700809, 2018. [pdf] [doi]
[27] P. Fonseca, N. den Teuling, X. Long, R.M. Aarts.
A comparison of probabilistic classifiers for sleep stage classification.
Physiological Measurement, 39(5): 055001/1-15 2018. [pdf] [doi]
[26] R. Joshi, H. van Straaten, H. van de Mortel, X. Long, P. Andriessen, C. van Pul.
Does the architectural layout of a NICU affect alarm pressure? A comparative clinical audit of a single-family room and an open bay area NICU using a retrospective study design.
BMJ Open, 8(6): e022813, 2018. [pdf] [doi].
[25] X. Long, E. van der Sanden, Y. Prevoo, L. ten Hoor, S. den Boer, J. Gelissen, R. Otte, E. Zwartkruis-Pelgrim.
An efficient heuristic method for infant in/out of bed detection using video-derived motion estimates.
Biomedical Physics & Engineering Express, 4(3): 035035/1-12, 2018. [doi]
[24] Z. Li, F. Huang, J. Zhang, B. Dashtbozorg, S. Abbasi-Sureshjani, Y. Sun, X. Long, Q. Yu, B. ter Haar Romeny, T. Tan.
Multi-modal and multi-vendor retina image registration.
Biomedical Optics Express, 9(2): 410-422, 2018. [pdf] [doi]
[23] S. Sun, W.H. Peeters, R. Bezemer, X. Long, I. Paulussen, R.M. Aarts, G.J. Noordergraaf.
On algorithms for calculating arterial pulse pressure variation during major surgery.
Physiological Measurement, 38(12): 2101-2121, 2017. [pdf] [doi]
[22] L. Wang, X. Long, J.B.A.M Arends, R.M. Aarts.
EEG analysis of seizure patterns using visibility graphs for detection of generalized seizures.
Journal of Neuroscience Methods, 290: 85-94, 2017. [pdf] [doi]
[21] X. Deng, Y. Wu, A.M. Khalid, X. Long, J.-P.M.G. Linnartz.
LED power consumption in joint illumination and communication system.
Optics Express, 25(16): 18990-19003, 2017. [pdf] [doi]
[20] J. Werth, X. Long, E. Zwartkruis-Pelgrim, H. Niemarkt, W. Chen, R.M. Aarts, P. Andriessen.
Unobtrusive assessment of neonatal sleep state based on heart rate variability retrieved from electrocardiography used for regular patient monitoring.
Early Human Development, 113: 104-113, 2017. [pdf] [doi]
[19] P. Fonseca, N. den Teuling, X. Long, R.M. Aarts, S. Leonhardt.
Cardiorespiratory sleep stage detection using conditional random fields.
IEEE Journal of Biomedical and Health Informatics, 21(4): 956-966, 2017. [pdf] [doi]
[18] G. Zhang, C. Shan, I. Kirenko, X. Long, R.M. Aarts.
Hybrid optical unobtrusive blood pressure measurements.
Sensors, 17(7): 1547/1-15, 2017. [pdf] [doi]
[17] L. Wang, J.B.A.M Arends, X. Long, P.J.M. Cluitmans.
Seizure pattern-specific epileptic epoch detection in patients with intellectual disability.
Biomedical Signal Processing and Control, 35: 38-49, 2017. [doi]
[16] J. Werth, L. Atallah, P. Andriessen, X. Long, E. Zwartkruis-Pelgrim, R.M. Aarts.
Unobtrusive sleep state measurements in preterm infants - a review.
Sleep Medicine Reviews, 32: 109-122, 2017. [pdf] [doi]
[15] X. Long, P. Fonseca, R.M. Aarts, R. Haakma, J. Rolink.
Detection of nocturnal slow wave sleep based on cardiorespiratory activity in healthy adults.
IEEE Journal of Biomedical and Health Informatics, 21(1): 123-133, 2017. [pdf] [doi]
[14] S. Sun, R. Bezemer, X. Long, J. Muehlsteff, R.M. Aarts.
Systolic blood pressure estimation using PPG and ECG during physical exercise.
Physiological Measurement, 37(12): 2154-2169, 2016. [pdf] [doi]
[13] F. Lin, Y. Wu, Y. Zhuang, X. Long, W. Xu.
Human gender classification: a review.
International Journal of Biometrics. 8(3/4): 275:300, 2016. [pdf] [doi] [ACM]
[12] P. Fonseca, R.M. Aarts, X. Long, J. Rolink.
Estimating actigraphy from motion artifacts in ECG and respiratory effort signals.
Physiological Measurement, 37(1): 67-82, 2016. [pdf] [doi]
[11] X. Long, R. Haakma, T.R.M. Leufkens, P. Fonseca, R.M. Aarts.
Effects of between- and within-subject variability on autonomic cardiorespiratory activity during sleep and their limitations on sleep staging: a multilevel analysis.
Computational Intelligence and Neuroscience, 2015: 583820, 2015. [pdf] [doi] (Invited Paper)
[10] P. Fonseca*, X. Long*, M. Radha, R. Haakma, R.M. Aarts, J. Rolink.
Sleep stage classification with ECG and respiratory effort.
Physiological Measurement, 36(10): 2027-2040, 2015. *Joint first authorship. [pdf] [doi]
[9] J. Rolink, M. Kutz, P. Fonseca, X. Long, B. Misgeld, S. Leonhardt.
Recurrence quantification analysis across sleep stages.
Biomedical Signal Processing and Control, 20: 107-116, 2015. [doi]
[8] X. Long, J.B. Arends, R.M. Aarts, R. Haakma, P. Fonseca, J. Rolink.
Time delay between cardiac and brain activity during sleep transitions.
Applied Physics Letters, 106(14): 143702, 2015. [pdf] [doi]
[B2] M.S. Goelema, X. Long, R. Haakma.
Correlations between overnight breathing rate variation and subjective sleep quality scores.
Sleep-Wake Research in the Netherlands (NSWO Jaarboek), 25: 60-63, 2015. [pdf]
[7-E] X. Long, J. Yang, T. Weysen, R. Haakma, J. Foussier, P. Fonseca, R.M. Aarts.
Erratum: Measuring dissimilarity between respiratory effort signals based on uniform scaling for sleep staging (2014 Physiol. Meas. 35 2539).
Physiological Measurement, 36(3): 625, 2015. [pdf] [doi]
[7] X. Long, J. Yang, T. Weysen, R. Haakma, J. Foussier, P. Fonseca, R.M. Aarts.
Measuring dissimilarity between respiratory effort signals based on uniform scaling for sleep staging.
Physiological Measurement, 35(12): 2529-2542, 2014. [pdf] [doi]
[6] X. Long, P. Fonseca, R.M. Aarts, R. Haakma, J. Foussier.
Modeling cardiorespiratory interaction during sleep with complex networks.
Applied Physics Letters, 105(20): 203701, 2014. [pdf] [doi]
[5] X. Long, J. Foussier, P. Fonseca, R. Haakma, R.M. Aarts.
Analyzing respiratory effort amplitude for automated sleep stage classification.
Biomedical Signal Processing and Control, 14: 197-205, 2014. [pdf] [doi]
[4] P. Fonseca, J. Foussier, R.M. Aarts, X. Long.
A novel low-complexity post-processing algorithm for precise QRS localization.
SpringerPlus, 3: 376, 2014. [pdf] [doi]
[3] X. Long, P. Fonseca, R. Haakma, R.M. Aarts, J. Foussier.
Spectral boundary adaptation on heart rate variability for sleep and wake classification.
International Journal on Artificial Intelligence Tools, 23(3): 1460002, Jun. 2014. [pdf] [doi]
[2] X. Long, P. Fonseca, J. Foussier, R. Haakma, R.M. Aarts.
Sleep and wake classification with actigraphy and respiratory effort using dynamic warping.
IEEE Journal of Biomedical and Health Informatics, 18(4): 1272-1284, 2014. [pdf] [doi]
[1] X. Long, M. Pijl, S. Pauws, J. Lacroix, A.H.C. Goris, R.M. Aarts.
Towards tailored physical activity health intervention: predicting dropout participants.
Health and Technology, 4: 273-287, 2014. [pdf] [doi]
[B1] X. Long, S. Pauws, M. Pijl, J. Lacroix, A.H.C. Goris, R.M. Aarts.
Predicting daily physical activity in a lifestyle intervention program.
In: B. Gottfried and H. Aghajan (Eds.), Behaviour Monitoring and Interpretation - Well-Being, pp. 131-146, Amsterdam: IOS Press, ISBN: 978-1-60750-730-7, Apr. 2011. [pdf] [doi]
[73] T. Chen, D. Zhang, X. Long, M. Breeuwer, S. Zinger, P. Huang, J. Zhang.
Cross-modal graph learning for perivascular spaces segmentation.
The 28th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Daejeon, Korea, Sep. 23-27, 2025. [event] [doi]
[72] R.G. Hup, R.J.H. Montree, L.R.C. Dekker, H.L. Tan, X. Long, R. Vullings.
MIMIC-III-Ext-CA: A MIMIC-III derived dataset of cardiac arrests in photoplethysmographs.
The 52nd International Computing in Cardiology Conference (CinC), Sao Paulo, Brazil, Sep. 14-17, 2025. [event]
[71] R.J.H. Montree, E. Peri, L.R.C. Dekker, X. Long, R. Haakma, R. Vullings.
Normalization of the photoplethysmographic signal using the post-extrasystolic potentiation.
The 52nd International Computing in Cardiology Conference (CinC), Sao Paulo, Brazil, Sep. 14-17, 2025. [event]
[70] G. Basso, X. Long, R. Haakma, R. Vullings.
Movement artifacts reduction from PPG signals using learned convolutional sparse coding.
The 52nd International Computing in Cardiology Conference (CinC), Sao Paulo, Brazil, Sep. 14-17, 2025. [event]
[69] G. Palladino, Z. Peng, K.-J. Attema, D. Kommers, H. van den Boom, X. Long, O. Raz, P. Andriessen, H. Niemarkt, C. van Pul.
Breathing rate detection in preterm infants using a fiber optical pressure-sensitive mattress: A feasibility study.
The 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Copenhagen, Denmark, Jul. 14-17, 2025.
[68] Z. Peng, H. Niemarkt, X. Long, P. Andriessen, C. van Pul.
Improving machine learning models of late-onset sepsis prediction using optimized control group selection: A comparative study.
The 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Copenhagen, Denmark, Jul. 14-17, 2025.
[67] R. Hup, X. Long, R. Haakma, R. Vullings.
Study design for detection of circulatory occlusion in smart watch data using probablistic predictive coding.
The 10th Dutch Bio-Medical Engineering Conference (Dutch BME), Egmond aan Zee, The Netherlands, Jan. 30-31, 2025. [event] [link]
[66] G. Basso, R. Haakma, X. Long, R. Vullings.
A skewed-Gaussian model for pulse decompositioin analysis of photoplethysmography signals.
The 10th Dutch Bio-Medical Engineering Conference (Dutch BME), Egmond aan Zee, The Netherlands, Jan. 30-31, 2025. [event] [link]
[65] R. Montree, E. Peri, X. Long, R. Haakma, L. Dekker, R. Vullings.
The Frank-Starling mechanism characterized using photoplethysmography.
The 10th Dutch Bio-Medical Engineering Conference (Dutch BME), Egmond aan Zee, The Netherlands, Jan. 30-31, 2025. [event] [link]
[64] G. Gronska, E. Peri, X. Long, J.P. van Dijk, M. Mischi.
Diaphragmatic electromyography features for respiratory effort monitoring in OSA patients.
The 27th Congress of the European Sleep Research Society, Seville, Span, Sep. 24-27; Journal of Sleep Research 33(S1): e14291-P1450; 2024. [pdf] [doi]
[63] P.-E. Simon, E. Peri, X. Long, J.P. van Dijk, M. Mischi.
A spatiotemporal deep-learning model for force estimation from surface electromyography.
The 19th Edition of IEEE International Symposium on Medical Measurements and Applications (MeMeA), Eindhoven, The Netherlands, Jun. 26-28, 2024. [event] [doi]
[62] G. Palladino, Z. Peng, D. Kommers, H. van den Boom, O. Raz, X. Long, P. Andriessen, H. Niemarkt, C. van Pul.
Movement quantification in preterm infants: comparing motion extraction from ECG signals and from pressure sensitive fiber optics mat.
The 19th Edition of IEEE International Symposium on Medical Measurements and Applications (MeMeA), Eindhoven, The Netherlands, Jun. 26-28, 2024. [event] [doi]
[60] Z. Peng, M. van de Wiel, H. Niemarkt, X. Long, P. Andriessen, C. van Pul.
Validation of three late-onset sepsis prediction models in hospitalized infants.
The 19th Edition of IEEE International Symposium on Medical Measurements and Applications (MeMeA), Eindhoven, The Netherlands, Jun. 26-28, 2024. [event] [doi]
[59] G. Varisco, Z. Peng, P. Andriessen, C. van Pul, X. Long.
Central apnea detection in premature infants using statistical machine learning.
The 19th Edition of IEEE International Symposium on Medical Measurements and Applications (MeMeA), Eindhoven, The Netherlands, Jun. 26-28, 2024. [event] [doi]
[58] G. Gronska, E. Peri, X. Long, F. van Meulen, J.P. van Dijk, M. Mischi.
Estimating respiratory effort through diaphragmatic electromyography on simulated airway obstructions.
The 19th Edition of IEEE International Symposium on Medical Measurements and Applications (MeMeA), Eindhoven, The Netherlands, Jun. 26-28, 2024. [event] [doi]
[57] G. Varisco, Z. Peng, P. Andriessen, C. van Pul, X. Long.
Central apnea detection using neural networks and multichannel signals.
The 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, Jul. 15-19, 2024. [event]
[56] G. Varisco, Z. Peng, P. Andriessen, C. van Pul, X. Long.
A new direct approach based on multichannel signals and deep learning for central apnea detection.
Joint Annual Meeting of the IEEE-EMBS Benelux Chapter and the 21st National Day of Biomedical Engineering, Brussels, Belgium, Nov. 16-17, 2023. [event]
[55] E. de Vries, C. Huang, M. Segers, P. Ntuyo, M. van der Ven, B. van der Hout-van der Jagt, X. Long, E. van den Heuvel, G. Oei.
The maternal dashboard in low resource settings.
Tropical Medicine & International Health 28: 290; The 13th European Congress on Global Health, Utrecht, The Netherlands, Nov. 20-23. [event] [pdf] [doi]
[54] Z. Peng, D. Zhang, C. van Pul, R.-H. Liang, P. Andriessen, R.M. Aarts, X. Long.
Improving video-based actigraphy for sleep monitoring of preterm infants.
IEEE International Conference on E-health Networking, Application & Services (HealthCom), pp. 61-65, Chongqing, China, Dec. 15-17, 2023. [event] [doi]
[53] C. Ma, Z. Wang, L. Zhao, X. Long, R. Vullings, R.M. Aarts, J. Li, C. Liu.
Deep learning-based signal quality scanning in wearable ECG monitoring.
The 50th Computing in Cardiology Conference (CinC), Atlanta, Georgia, USA, Oct. 1-4, 2023. [event] [pdf] [doi]
[52] G. Gronska, E. Peri, X. Long, J.P. van Dijk, M. Mischi.
Removal of electrocardiographic interference, noise, and artifacts from diaphragm electromyography.
The 18th Edition of IEEE International Symposium on Medical Measurements and Applications (MeMeA), Jeju, South Korea, Jun. 14-16, 2023. [doi]
[51] C. Dong, J.P. van Dijk, X. Long, R.M. Aarts.
Using 2D CNN to detect tonic-clonic seizures based on accelerometer and photoplethysmography signals.
The 9th Dutch Bio-Medical Engineering Conference (Dutch BME), Egmond aan Zee, The Netherlands, Jan. 26-27, 2023. [event] [link]
[50] Z. Peng, D. van de Sande, I. Lorato, X. Long, R.-H. Liang, P. Andriessen, W. Cottaar, S. Stuijk, C. van Pul.
A comparison of video-based methods for neonatal body motion detection.
The 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 3047-3050, Glasgow, Scotland, UK, Jul. 11-15, 2022. [event] [pdf] [doi]
[49] C. Dong, T. Ye, Y. Wang, J.P. van Dijk, X. Long, R.M. Aarts.
Heart rate raised before epileptic tonic-clonic seizure motions.
The 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Glasgow, Scotland, UK, Jul. 11-15, 2022. [event]
[48] H. Xu, E. Peri, X. Long, S. Overeem, J.P. van Dijk, M. Mischi.
EMG-based monitoring of respiratory effort using LSTM networks.
The 8th Dutch Bio-Medical Engineering Conference (Dutch BME), Egmond aan Zee, The Netherlands, Jan. 27-28, 2023. [event] [link]
[47] L. Cabrera-Quiros, G. Varisco, Z. Zhan, X. Long, P. Andriessen, E.J.E. Cottaar, C. van Pul.
Listen to the real experts: Detecting need of caregiver response in a NICU using multimodal monitoring signals.
ACM International Conference on Muldimodal Interaction (ICMI'21), pp. 344-352, Montreal, Canada, Oct. 18-22, 2021. [pdf] [doi]
[46] R. de Goederen, S. Pu, M. Silos Viu, D. Doan, S. Overeem, W.A. Serdijn, K.F.M. Joosten, X. Long, J. Dudink.
Ultra-wide band radar is a promising non-contact technology for sleep stage classification in children.
IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), one-page paper, July, 2021. [pdf]
[45] G. Varisco, D. Kommers, X. Long, Z. Zhan, M.M. Nano, E.J.E. Cottaar, P. Andriessen, C. van Pul.
Optimized detection of central apneas preceding late-onset sepsis in premature infants.
The 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 5463-5468, Virtual Meeting, Nov. 1-5, 2021. [doi]
[44] C. Puri, G. Kooijman, X. Long, P. Hamelmann, S. Asvadi, B. Vanrumste, S. Luca.
Feature selection for unbiased imputation of missing values: A case study in healthcare.
The 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 1911-1915, Virtual Meeting, Nov. 1-5, 2021. [doi]
[43] Z. Peng, I. Lorato, X. Long, R.-H. Liang, D. Kommers, P. Andriessen, E.J.E. Cottaar, S. Stuijk, C. van Pul.
Body motion detection in neonates based on motion artifacts in physiological signals from a clinical patient monitor.
The 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 416-419, Virtual Meeting, Nov. 1-5, 2021. [doi]
[42] C. Dong, T. Ye, X. Long, R.M. Aarts, J. van Dijk, C. Shang, X. Liao, Y. Wang.
Home-based detection of epileptic seizures using a bracelet with motor sensors.
The 10th International IEEE/EMBS Conference on Neural Engineering (NER), pp. 854-857, Virtual Meeting, May 4-6, 2021. [doi]
[41] J. Xie, X. Aubert, X. Long, J. van Dijk, B. Arsenali, P. Fonseca, S. Overeem.
Recurrent convolutional neural network for snore detection using audio data.
The 8th Dutch Bio-Medical Engineering Conference (Dutch BME), Virtual Meeting, Jan. 28-29, 2021.
[40] Y. Wang, F. Beuving, J. Nonnekes, M.X. Cohen, X. Long, R.M. Aarts, R. van Wezel.
Freezing of gait detection in patients with Parkinson's disease using multi-modal physiological signals.
The 8th Dutch Bio-Medical Engineering Conference (Dutch BME), Virtual Meeting, Jan. 28-29, 2021.
[39] N. Vandenbussche, H. Xu, L. Xu, C. Ciccarelli, X. Long, S. Overeem, J.P. van Dijk, M. Mischi, E. Peri.
Diaphragm electromyography to estimate respiratory effort: a preliminary study.
The 25th Congress of the European Sleep Research Society, Virtual, Sep. 22-24; Journal of Sleep Research, 29(S1): 292, 2020. [pdf] [doi]
[38] B.W. Wulterkens, M.M. van Gilst, P. Fonseca, M. Radha, M. Ross, A. Moreau, A. Cerny, P. Anderer, X. Long, J.P. van Dijk, S. Overeem.
Testing the performance of an electrocardiogram-based sleep staging algorithm using reflective photoplethysmography data in a sleep disordered population.
The 25th Congress of the European Sleep Research Society, Virtual, Sep. 22-24; Journal of Sleep Research, 29(S1): 89-90, 2020. [pdf] [doi]
[37] L. Cabrera-Quiros, G. Varisco, Z. Zhan, X. Long, P. Andriessen, E. Cottaar, C. van Pul.
Estimation of heart rate directly from ECG spectrogram in neonatal intensive care units.
The 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 320-323, Montreal, Canada, Jul. 20-24, 2020. [doi]
[36] Y. Xu, L. Xu, X. Long, M. Mischi.
Relevance of spectral peaks in electromyographic recordings during force-modulated vibration exerecise.
The 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 3106-3109, Montreal, Canada, Jul. 20-24, 2020. [doi]
[35] Y. Wang, F. Beuving, J. Nonnekes, M.X. Cohen, X. Long, R.M. Aarts, R. van Wezel.
Freezing of gait detection in Parkinson's disease via multimodal analysis of EEG and accelerometer signals.
The 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 847-850, Montreal, Canada, Jul. 20-24, 2020. [doi]
[34] Y. Sun, D. Kommers, T. Tan, W. Wang, X. Long, C. Shan, C. van Pul, R.M. Aarts, P. Andriessen, P.H.N. de With.
Automated discomfort detection for premature infants in NICU using time-frequency feature-images and CNNs.
SPIE Medical Imaging, 113144B, Houston, USA, Feb. 15-20, 2020. [pdf] [doi]
[33] Y. Wang, X. Long, J.P. van Dijk, R.H.C. Lazeron, R.M. Aarts, J. Arends.
Non-convulsive status epilepticus detection.
The 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, Jul. 23-27, 2019. [link]
[32] X. Yu, X. Zhao, C. Lu, L. Wang, X. Long, W. Chen.
An investigation into audio features and DTW algorithms for infant cry classification.
The 6th International Conference on Biomedical and Bioinformatics Engineering (ICBBE), Shanghai, China, Nov. 13-15, 2019. [doi]
[31] G. Varisco, H. van de Mortel, L. Cabrera-Quiros, L. Atallah, D. Hueske-Kraus, X. Long, E.J.E. Cottaar, D. Kommers, T. Mohns, P. Andriessen, C. van Pul.
Relevance of waveform information displayed on nurses' handheld devices in a single-family room neonatal intensive care unit.
The 3rd Congress of joint European Neonatal Societies (jENS), Pediatric Research, 86: 52, 2019. [pdf] [doi]
[30] Y. Wang, X. Long, H. van Dijk, R. Lazeron, R. Aarts, J. Arends.
Non-convulsive status epilepticus detection.
The 7th Dutch Bio-Medical Engineering Conference (Dutch BME), Egmond aan Zee, The Netherlands, Jan. 24-25, 2019. [link]
[29] H. Du, Y. Wang, X. Long, J. Arends, H. van Dijk, R. Aarts.
Visibility graph methods in nonconvulsive seizure detection.
The 7th Dutch Bio-Medical Engineering Conference (Dutch BME), Egmond aan Zee, The Netherlands, Jan. 24-25, 2019. [link]
[28] Y. Wang, X. Long, H. van Dijk, R.M. Aarts, J.B.A.M. Arends.
Adaptive EEG channel selection for nonconvulsive seizure analysis.
The 23rd IEEE International Conference on Digital Signal Processing (DSP), Special Session - Signal Processing for Physiological and Behavioral Sensing, Shanghai, China, Nov. 19-21, 2018. [pdf] [doi]
[27] X. Long, R. Otte, E. van der Sanden, E. Zwartkruis-Pelgrim.
Video actigraphy: a new method for infant home sleep monitoring.
Dutch Society for Sleep-Wake Research (NSWO) Autumn Meeting, Amsterdam, The Netherlands, Nov. 2, 2018. [pdf]
[26] X. Long, J. Werth, J. Espina Perez.
Comparing video actigraphy across premature infant sleep states.
The 5th Congress of International Pediatric Sleep Association (IPSA), Paris, France, Apr. 27-29, 2018. [pdf]
[25] R. Otte, X. Long, E. Zwartkruis-Pelgrim.
Comparing behavioural state annotations and PSG annotations in infants.
The 5th Congress of International Pediatric Sleep Association (IPSA), Paris, France, Apr. 27-29, 2018. [pdf]
[24] X. Long, P. Fonseca, R. Haakma, R.M. Aarts.
Actigraphy-based sleep/wake detection for insomniacs.
The 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN), Eindhoven, The Netherlands, May 9-12, 2017. [pdf] [doi]
[23] L. Wang, X. Long, J.B.A.M Arends, J.P. van Dijk, R.M. Aarts.
Functional connectivity network during seizure: a comparative study on phase synchronization measures.
The 8th International IEEE EMBS Conference on Neural Engineering (NER), Shanghai, China, May 25-28, 2017. [pdf]
[22] S. Sun, W.H. Peeters, R. Bezemer, X. Long, I. Paulussen, R.M. Aarts, G.J. Noordergraaf.
The effect of sample duration on the robustness of pulse-pressure variation during ongoing surgery.
European Medical and Biomedical Engineering Conference (EMBEC), Tampere, Finland, Jun. 11-15, 2017. [pdf]
[21] L. Wang, X. Long, J.B.A.M Arends, J.P. van Dijk, R.M. Aarts.
Dynamic brain networks measured by using phase synchronization across different seizure patterns.
The 6th Dutch Bio-Medical Engineering Conference (Dutch BME), Egmond aan Zee, The Netherlands, Jan. 26-27, 2017. [pdf]
[20] L. Wang, J.B.A.M. Arends, X. Long, Y. Wu, P.J. Cluitmans.
Seizure detection using dynamic warping for patients with intellectual disability.
The 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 1010-1013, Orlando, FL, Aug. 2016. [doi]
[19] J. Werth, L. Atallah, X. Long, P. Andriessen, E. Zwartkruis-Pelgrim, R.M. Aarts.
Preterm infant heart rate variability feature selection for automated sleep state classification.
Biomedica Summit, Aachen, Germany, May 2016. [pdf] [doi]
[18] S. Sun, R. Bezemer, X. Long, J. Muehlsteff, R.M. Aarts.
Systolic blood pressure estimation using PPG during physical exercise.
The 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, Aug. 2016. [pdf] [doi]
[17] M.-M. Nano, X. Long, J. Werth, R.M. Aarts, R. Heusdens.
Sleep apnea detection using time-delayed heart rate variability.
The 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 7679-7682, Milan, Italy, Aug. 2015. [pdf] [doi]
[16] X. Long, R. Haakma, J. Rolink, P. Fonseca, R.M. Aarts.
Improving sleep/wake detection via boundary adaptation for respiratory spectral features.
The 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 374-377, Milan, Italy, Aug. 2015. [pdf] [doi]
[15] X. Long, R. Haakma, P. Fonseca, R.M. Aarts, M.S. Goelema, J. Rolink.
What causes the differences in cardiac activity within and between subjects during sleep?
The 29th Annual Meeting of the Associated Professional Sleep Societies (SLEEP), vol. 38(Abstract Suppl): 0173, p. A63, Seattle, WA, Jun. 2015. [pdf] [doi]
[14] M.S. Goelema, X. Long, R. Haakma.
Gender effect found in the association between overnight breathing rate variation and reported sleep quality scores.
The 29th Annual Meeting of the Associated Professional Sleep Societies (SLEEP), vol. 38(Abstract Suppl): 0162, p. A60, Seattle, WA, Jun. 2015. [pdf] [doi]
[13] X. Long, R. Haakma, R.M. Aarts, P. Fonseca, J. Foussier.
Between-laboratory and demographic effects on heart rate and its variability during sleep.
Workshop on Smart Healthcare and Healing Environments in conjunction with the European Conference on Ambient Intelligence (AmI), Eindhoven, The Netherlands, Nov. 2014. [pdf] [link]
[12] X. Long, P. Fonseca, R. Haakma, J. Foussier, R.M. Aarts.
Automatic detection of overnight deep sleep based on heart rate variability: a preliminary study.
The 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 50-53, Chicago, Illinois, USA, Aug. 2014. [pdf] [doi]
[11] X. Long, R. Haakma, M. Goelema, T. Weysen, P. Fonseca, J. Foussier, R.M. Aarts.
Self-dissimilarity of respiratory effort across sleep states and time.
The 28th Annual Meeting of the Associated Professional Sleep Societies (SLEEP), vol. 37(Abstract Suppl): 0095, p. A36, Minneapolis, MN, May 2014. [pdf] [doi]
[10] J. Foussier, X. Long, P. Fonseca, B. Misgeld, S. Leonhardt.
On the relationship of arousals and artifacts in respiratory effort signals.
International Conference on Health Informatics (ICHI), vol. 42, pp. 31-34, Vilamoura, Portugal, Nov. 2013. (Finalists Young Investigator Award) [pdf] [doi]
[9] J. Foussier, P. Fonseca, X. Long, B. Misgeld, S. Leonhardt.
Combining HRV features for automatic arousal detection.
Computing in Cardiology (CinC), vol. 40, pp. 1003-1006, Zaragoza, Spain, Sep. 2013. [pdf] [doi]
[8] X. Long, J. Foussier, P. Fonseca, R. Haakma, R.M. Aarts.
Respiration amplitude analysis for REM and NREM sleep classification.
The 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 5017-5020, Osaka, Japan, Jul. 2013. [pdf] [doi]
[7] P. Fonseca, X. Long, J. Foussier, R.M. Aarts.
On the impact of arousals on the performance of sleep and wake classification using actigraphy.
The 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 6760-6763, Osaka, Japan, Jul. 2013. [pdf] [doi]
[6] J. Foussier, P. Fonseca, X. Long, S. Leonhardt.
Automatic feature selection for sleep/wake classification with small data sets.
International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC), pp. 178-184, Barcelona, Spain, Feb. 2013. [pdf] [link]
[5] X. Long, P. Fonseca, R. Haakma, R.M. Aarts, J. Foussier.
Time-frequency analysis of heart rate variability for sleep and wake classification.
The 12nd IEEE International Conference on Bioinformatics and Bioengineering (BIBE), pp. 85-90, Larnaca, Cyprus, Nov. 2012. (Best Student Paper Award) [pdf] [doi]
[4] X. Long, P. Fonseca, J. Foussier, R. Haakma, R.M. Aarts.
Using dynamic time warping for sleep and wake discrimination.
IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), pp. 886-889, Hong Kong and Shenzhen, China, Jan. 2012. (First Runner-up Student Paper Award) [pdf] [doi]
[3] X. Long, W. Yin, L. An, H. Ni, L. Huang, Q. Luo, Y. Chen.
Churn analysis of online social network users using data mining techniques.
International MultiConference of Engineers and Computer Scientists (IMECS), Lecture Notes in Engineering and Computer Science, vol. 1, pp. 551-556, Hong Kong, Mar. 2012. [pdf] [link]
[2] X. Long, S. Pauws, M. Pijl, J. Lacroix, A. Goris, R.M. Aarts.
Analysis and prediction of daily physical activity level data using autoregressive integrated moving average models.
The 3rd Workshop on Behaviour Monitoring and Interpretation (BMI), pp. 1-15, Paderborn, Germany, Oct. 2009. [pdf] [link]
[1] X. Long, B. Yin, R.M. Aarts.
Single-accelerometer-based daily physical activity classification.
The 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 6107-6110, Minneapolis, MN, Sept. 2009. [pdf] [doi]
[PhD] X. Long (promotors: Prof.dr. Ronald M. Aarts and Prof.dr. Johan B. Arends, co-pomotor: Dr. Reinder Haakma).
On the analysis and classification of sleep stages from cardiorespiratory activity.
Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands, Jun. 2015. (Cum Laude, Top 5%) [pdf]
[MSc] X. Long (supervisors: Prof.dr. Ronald M. Aarts and Prof.dr. Steffen Pauws).
Analysis and prediction of daily physical activity level data and behaviors based on a triaxial accelerometer.
Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands, Aug. 2009. (Thesis grade 9/10) [link]
[BEng] X. Long (supervisors: Prof. Zhiguo Shi and Prof. Kangsheng Chen).
Simulation and implementation of frame detection module for MIMO-OFDM receive system.
Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China, Jun. 2006. (Distinction, Top 10%)
[18] Jieli Xie, Pedro Fonseca, Xi Long, Johannes P. van Dijk, Sebastiaan Overeem.
Audio and cardiac based sleep-related event detection.
EP4541269A1, 2023; WO2025082805A1, 2025; US20250127462A, 2025. [Google Patents] [Espacenet] [WIPO]
[17] Yannyk Parulian Julian Bourquin, Jesper William van Bentum, Xi Long, Lili-Marjan Brockhuis, Anna Louise Wijnoltz.
Milk management method, infant milk container attachment and system.
WO2023247284A1, 2023; EP4544477A1, 2025; US20250329435A1, 2025. [Google Patents] [Espacenet]
[16] Jonathan Palero, Mark Johnson, Yanqi Wu, Sima Asvadi, Xi Long.
Predictive assessment of health risk parameters regarding gestational diabetes mellitus and preeclampsia.
EP4485477, 2023; WO2025002993, 2025. [WIPO]
[15] Xi Long, Jiali Xie, Pedro Fonseca, Johannes P. van Dijk.
System and method for determining a measure of a severity of sleep disordered breathing.
EP4298989A1, 2022. [Google Patents] [Espacenet]
[14] Jonathan Palero, Erik Schuijers, Xi Long, Michel Asselman, Mohammed Meftah, Mathi Damodaran.
Non-contact subject monitoring.
WO2023241986A1, EP4292515A1, 2022. [Google Patents] [Espacenet] [WIPO]
[13] Tamara Nijsen, Mengzhu Xu, Xi Long, Loes Wijnoltz.
Using chromatogram features to identify biological changes in volatile organic compound patterns.
EP4086622A1, 2021. [Google Patents] [Espacenet] [WIPO]
[12] Deep Bera, Subhendu Seth, Xi Long.
Measuring a vital sign of a subject.
EP4052644A1, 2021. [Espacenet] [WIPO]
[11] Jesper William van Bentum, Chiara Rabotti, Jenny Margarito, Xi Long.
A planning system for planning breast feeding or milk expression.
WO2022175195A1, EP4047616A1, 2021. [Google Patents] [Espacenet] [WIPO]
[10] Paul Christoph Hamelmann, Xi Long, Sima Asvadi, Chiara Rabotti, Evelyn Josefina Maria Simons, Jesper William van Bentum, Shannon van Sambeek, Beatrijs van der Hout.
A pregnancy decision support system and method.
EP4012717A1; CN114613487A, 2021. [Google Patents] [Espacenet] [WIPO]
[9] Xi Long, Igor Berezhnoy, Petronella Hendrika Zwartkruis-Pelgrim, Rick Bezemer.
Method and system of mat-based infant sleep monitoring and adaptive sensor selection.
WO2020193357A1, 2020. [Google Patents] [Espacenet]
[8] Xi Long, Rick Bezemer.
Deriving information about a person's sleep and wake states from a sequence of video frames.
WO2020064580A1, 2020. [Google Patents] [Espacenet]
[7] Rohan Joshi, Bart Laurens Bierling, Kiran Hamilton J. Dellimore, Xi Long.
Measuring movement in a subject.
WO2019224113A1, 2019. [Google Patent] [Espacenet] [WIPO]
[6] Shaoxiong Sun, Wouter Herman Peeters, Rick Bezemer, Xi Long, Ronaldus Maria Aarts.
A sensor system and sensing method for use in assessment of circulatory volume.
WO2019063349A1, 2019. [Google Patents] [Espacenet] [WIPO]
[5] Xi Long, Gustaaf Laurens Jonathan ten Hoor, Henricus Theodorus Johannus Antonius Gerardus van der Sanden, Sebastiaan Valentijn den Boer, Jozef Hubertus Gelissen, Yves Konstant Lambertus Maria Prevoo, Petronella Hendrika Zwartkruis-Pelgrim.
System, method and computer program for monitoring a baby.
WO2018197322A1, 2018. [Google Patents] [Espacenet] [WIPO]
[4] Xi Long, Pedro Fonseca, Nicolaas Gregorius Petrus den Teuling, Reinder Haakma, Ronald Maria Aarts.
System and method for slow wave sleep detection.
WO2016097947A1, 2016. Granted US (US10856801B2, 2020), Japan (JP6720179B2, 2020), and China (CN107106050B). [Google Patents] [Espacenet] [WIPO]
[3] Xi Long, Reinder Haakma, Pedro Miguel Ferreira dos Santos da Fonseca, Ronaldus Maria Aarts.
System and method for determining spectral boundaries for sleep stage classification.
WO2016092433A1, 2016. Granted patent US (US10702207B2, 2020) and China (CN106999055B, 2020). [Google Patents] [Espacenet] [WIPO]
[2] Pedro Miguel Fonseca, Nicolaas Gregorius Petrus den Teuling, Xi Long, Reinder Haakma, Ronaldus Maria Aarts.
System and method for cardiorespiratory sleep stage classification.
WO2016097945A1, 2016. Granted patent US (US10524674B2, 2020), Japan (JP6720178B2, 2020), and China (CN107106028B, 2020). [Google Patents] [Espacenet] [WIPO]
[1] Pedro Miguel Fonseca, Reinder Haakma, Ronaldus Maria Aarts, Xi Long.
Actigraphy methods and apparatuses.
WO2016071872A1, 2016. Granted patent US (US9820698B2, 2017). [Google Patents] [Espacenet] [WIPO]
[4] Xi Long (supervisor: Prof. Peter Baltus).
Thickness and moisture measurement of single printing-paper based on electromagnetic wave transmission method.
Traineeship Report, Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands, 2008.
[3] H. Yuan, X. Long, F. Lin.
Design of a small drainpipe limbing robot.
Report for The 10th Haite Cup Mechanical Design Contest, Zhejiang University, Hangzhou China, 2005.
[2] H. Yuan, X. Long, K. Xu.
A speech signal recognition and control system.
Report for The Challenge Cup Research Program, Zhejiang University, Hangzhou, China, 2005. (Second Prize Award)
[1] X. Long, K. Xu, L. Zhang.
Determination and forecasting of the basic subsistence allowance for urban residents in China using a weighted dynamic extended linear expenditure system.
Report for The Mathematical Modeling Contest, Zhejiang University, Hangzhou, China, 2005. (First Prize Award)
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