A continuous late-onset sepsis prediction algorithm for preterm infants using multi-channel physiological signals from a patient monitor Z Peng, G Varisco, X Long, RH Liang, D Kommers, W Cottaar, ... IEEE Journal of Biomedical and Health Informatics 27 (1), 550-561, 2022 | 24 | 2022 |
Central apnea detection in premature infants using machine learning G Varisco, Z Peng, D Kommers, Z Zhan, W Cottaar, P Andriessen, X Long, ... Computer Methods and Programs in Biomedicine 226, 107155, 2022 | 13 | 2022 |
Body motion detection in neonates based on motion artifacts in physiological signals from a clinical patient monitor Z Peng, I Lorato, X Long, RH Liang, D Kommers, P Andriessen, W Cottaar, ... 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 11 | 2021 |
Predictive monitoring of critical cardiorespiratory alarms in neonates under intensive care R Joshi, Z Peng, X Long, L Feijs, P Andriessen, C Van Pul IEEE Journal of Translational Engineering in Health and Medicine 7, 1-10, 2019 | 11 | 2019 |
DeepLOS: deep learning for late-onset sepsis prediction in preterm infants using heart rate variability Z Peng, G Varisco, RH Liang, D Kommers, W Cottaar, P Andriessen, ... Smart Health 26, 100335, 2022 | 8 | 2022 |
Continuous sensing and quantification of body motion in infants: A systematic review Z Peng, D Kommers, RH Liang, X Long, W Cottaar, H Niemarkt, ... Heliyon 9 (7), 2023 | 5 | 2023 |
A comparison of video-based methods for neonatal body motion detection Z Peng, D Van De Sande, I Lorato, X Long, RH Liang, P Andriessen, ... 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 5 | 2022 |
Continuous prediction and clinical alarm management of late-onset sepsis in preterm infants using vital signs from a patient monitor M Yang, Z Peng, C van Pul, P Andriessen, K Dong, D Silvertand, J Li, ... Computer Methods and Programs in Biomedicine 255, 108335, 2024 | 3 | 2024 |
Detecting central apneas using multichannel signals in premature infants G Varisco, Z Peng, D Kommers, EJE Cottaar, P Andriessen, X Long, ... Physiological Measurement 45 (2), 025009, 2024 | 2 | 2024 |
Continuous movement quantification in preterm infants using fiber mat: Advancing long-term monitoring in hospital settings Z Peng, Y Zhao, D Kommers, H van den Boom, RH Liang, X Long, ... IEEE Transactions on Instrumentation and Measurement, 2024 | 1 | 2024 |
Combining cardiorespiratory signals and video-based actigraphy for classifying preterm infant sleep states D Zhang, Z Peng, C Van Pul, S Overeem, W Chen, J Dudink, ... Children 10 (11), 1792, 2023 | 1 | 2023 |
Validation of three late-onset sepsis prediction models in hospitalized infants Z Peng, M Van De Wiel, H Niemarkt, X Long, P Andriessen, C Van Pul 2024 IEEE International Symposium on Medical Measurements and Applications …, 2024 | | 2024 |
Explainable machine learning for central apnea detection in premature infants G Varisco, Z Peng, P Andriessen, C Van Pul, X Long 2024 IEEE International Symposium on Medical Measurements and Applications …, 2024 | | 2024 |
Movement quantification in preterm infants: Comparing motion extraction from ECG signals and from pressure sensitive fiber optics mat G Palladino, Z Peng, D Kommers, H Van den Boom, O Raz, X Long, ... 2024 IEEE International Symposium on Medical Measurements and Applications …, 2024 | | 2024 |
Characterising the motion and cardiorespiratory interaction of preterm infants can improve the classification of their sleep state D Zhang, Z Peng, S Sun, C van Pul, C Shan, J Dudink, P Andriessen, ... Acta Paediatrica 113 (6), 1236-1245, 2024 | | 2024 |
Improving video-based actigraphy for sleep monitoring of preterm infants Z Peng, D Zhang, C van Pul, RH Liang, P Andriessen, RM Aarts, X Long 2023 IEEE International Conference on E-health Networking, Application …, 2023 | | 2023 |