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Acta Paediatrica (Oslo, Norway : 1992)|January 4, 2022
Comparing pulse rate measurement in newborns using conventional and dry-electrode ECG monitorsEris van Twist, Hylke H Salverda, Arjan B Te PasResuscitation|January 23, 2026
Prediction of Survival after Pediatric Cardiac Arrest using Heart Rate Variability and Machine LearningDaishi Xu, Eris van Twist, Marit Verboom, et al.BMJ Health & Care Informatics|February 2, 2026
Data pipeline quality: development and validation of a quality assessment tool for data-driven algorithms and artificial intelligence in healthcareEris van Twist, Brian van Winden, Rogier de Jonge, et al.Journal of Clinical Sleep Medicine : JCSM : Official Publication of the American Academy of Sleep Medicine|March 8, 2024
Severe obstructive sleep apnea in children with syndromic craniosynostosis: analysis of pulse transit timeSumin Yang, Eris van Twist, Gwen G M van Heesch, et al.Intensive Care Medicine|September 12, 2024
From bytes to bedside: a systematic review on the use and readiness of artificial intelligence in the neonatal and pediatric intensive care unitJanno S Schouten, Melissa A C M Kalden, Eris van Twist, et al.Journal of Clinical Monitoring and Computing|December 20, 2024
An open source autoregulation-based neuromonitoring algorithm shows PRx and optimal CPP association with pediatric traumatic brain injuryEris van Twist, Tahisa B Robles, Bart Formsma, et al.Acta Paediatrica (Oslo, Norway : 1992)|July 2, 2026
Critically Ill Children Show Disrupted Sleep Patterns and Atypical Electroencephalograms: An Observational Cohort StudyEris van Twist, Arnout B G Cramer, Sascha C A T Verbruggen, et al.Journal of Clinical Sleep Medicine : JCSM : Official Publication of the American Academy of Sleep Medicine|October 23, 2023
An electroencephalography-based sleep index and supervised machine learning as a suitable tool for automated sleep classification in childrenEris van Twist, Floor W Hiemstra, Arnout B G Cramer, et al.Journal of Clinical Sleep Medicine : JCSM : Official Publication of the American Academy of Sleep Medicine|September 27, 2024
Supervised machine learning on electrocardiography features to classify sleep in noncritically ill childrenEris van Twist, Anne M Meester, Arnout B G Cramer, et al.Pageof 1