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Multivariate Analysis of Full-Term Neonatal Polysomnographic Data.

, , , and . IEEE Trans. Information Technology in Biomedicine, 13 (1): 104-110 (2009)

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Multivariate Analysis of Full-Term Neonatal Polysomnographic Data., , , and . IEEE Trans. Information Technology in Biomedicine, 13 (1): 104-110 (2009)Neonatal EEG Sleep Stages Modelling by Temporal Profiles., , , , , and . EUROCAST, volume 4739 of Lecture Notes in Computer Science, page 195-201. Springer, (2007)EEG Analysis of the Navigation Strategies in a 3D Tunnel Task., , and . ICONIP (1), volume 7062 of Lecture Notes in Computer Science, page 388-395. Springer, (2011)Semi-automated detection of polysomnographic REM sleep without atonia (RSWA) in REM sleep behavioral disorder., , , , and . Biomed. Signal Process. Control., (2019)Adaptive Segmentation Optimization for Sleep Spindle Detector., , , and . ITBAM, volume 9832 of Lecture Notes in Computer Science, page 85-96. Springer, (2016)Using Wavelet Transform for Feature Extraction from EEG Signal., , , , and . BIOSIGNALS (1), page 236-241. INSTICC - Institute for Systems and Technologies of Information, Control and Communication, (2008)Semi-Automated Sleep EEG Scoring with Active Learning and HMM-Based Deletion of Ambiguous Instances., , , and . UCAmI, volume 31 of MDPI Proceedings, page 46. MDPI, (2019)Riemannian Geometry in Sleep Stage Classification., , and . ITBAM, volume 10443 of Lecture Notes in Computer Science, page 92-99. Springer, (2017)Binary social impact theory based optimization and its applications in pattern recognition., , , , , , , and . Neurocomputing, (2014)Addressing the Cold Start Problem in Active Learning Approach Used For Semi-automated Sleep Stages Classification., , and . BIBM, page 2249-2253. IEEE Computer Society, (2018)