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CheckMates, Helping Nurses Plan Ahead in the Neonatal Intensive Care Unit., , , , , and . Multimodal Technol. Interact., 3 (1): 14 (2019)Central apnea detection in premature infants using machine learning., , , , , , , and . Comput. Methods Programs Biomed., (2022)Body Motion Detection in Neonates Based on Motion Artifacts in Physiological Signals from a Clinical Patient Monitor., , , , , , , , and . EMBC, page 416-419. IEEE, (2021)Beepless: Using Peripheral Interaction in an Intensive Care Setting., , , , , and . Conference on Designing Interactive Systems, page 607-620. ACM, (2019)Deep learning approach for ECG-based automatic sleep state classification in preterm infants., , , , and . Biomed. Signal Process. Control., (2020)Automatic Separation of Respiratory Flow from Motion in Thermal Videos for Infant Apnea Detection., , , , , , and . Sensors, 21 (18): 6306 (2021)Rhythm of Life Aid (ROLA): An Integrated Sensor System for Supporting Medical Staff During Cardiopulmonary Resuscitation (CPR) of Newborn Infants., , , , , , and . IEEE Trans. Inf. Technol. Biomed., 14 (6): 1468-1474 (2010)Estimation of Heart Rate Directly from ECG Spectrogram in Neonate Intensive Care Units., , , , , , and . EMBC, page 320-323. IEEE, (2020)Validation of a preterm infant cardiovascular system model under baroreflex control with heart rate and blood pressure data., , , , and . EMBC, page 896-899. IEEE, (2011)A consensus model for Delphi processes with linguistic terms and its application to chronic pain in neonates definition., , , , , and . Appl. Soft Comput., (2015)