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Comparison between Electrocardiographic and Earlobe Pulse Photoplethysmographic Detection for Evaluating Heart Rate Variability in Healthy Subjects in Short- and Long-Term Recordings.

, , , and . Sensors, 18 (3): 844 (2018)

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A Quantitative EEG Signal Analysis Approach for the Evaluation of Neurophysiological Changes Associated with Mesial Temporal Lobe Epilepsy., , , , , , , and . BATS, page 1-5. IEEE, (2023)Automatic detection of obstructive sleep apnea syndrome based on snore signals., , , , , and . MAVEBA, page 185-188. Firenze University Press / ISCA, (2009)Resting-State EEG Classification for PNES Diagnosis., , , , , and . ICCS (1), volume 13351 of Lecture Notes in Computer Science, page 526-538. Springer, (2022)A software pipeline for pre-processing and mining EEG signals: application in neurology (Discussion Paper)., , , , and . SEBD, volume 2994 of CEUR Workshop Proceedings, page 307-314. CEUR-WS.org, (2021)Comparison between Electrocardiographic and Earlobe Pulse Photoplethysmographic Detection for Evaluating Heart Rate Variability in Healthy Subjects in Short- and Long-Term Recordings., , , and . Sensors, 18 (3): 844 (2018)A System for the Analysis of Snore Signals., , , , , , and . ICCS, volume 4 of Procedia Computer Science, page 1101-1108. Elsevier, (2011)Deep Learning Representation from Electroencephalography of Early-Stage Creutzfeldt-Jakob Disease and Features for Differentiation from Rapidly Progressive Dementia., , , , , , , , , and 7 other author(s). Int. J. Neural Syst., 27 (2): 1650039:1-1650039:15 (2017)On the Classification of EEG Signal by Using an SVM Based Algorithm., , , , , and . Multidisciplinary Approaches to Neural Computing, volume 69 of Smart Innovation, Systems and Technologies, Springer, (2018)