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Zheng Peng
Zheng Peng
Overená e-mailová adresa na: tue.nl
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Citované v
Citované v
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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
242022
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
132022
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
112021
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
112019
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
82022
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
52023
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
52022
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
32024
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
22024
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
12024
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
12023
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
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