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Heuristics for Apnea Episodes Recognition.

, , , , , and . SOCO, volume 368 of Advances in Intelligent Systems and Computing, page 251-259. Springer, (2015)

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Heuristics for Apnea Episodes Recognition., , , , , and . SOCO, volume 368 of Advances in Intelligent Systems and Computing, page 251-259. Springer, (2015)Hybrid Systems for Analyzing the Movements during a Temporary Breath Inability Episode., , , , , , and . HAIS, volume 8480 of Lecture Notes in Computer Science, page 549-560. Springer, (2014)Preliminary Study on the Detection of Apnea Episodes Through the Use of Dictionaries., , , , , and . Multiple-Valued Logic and Soft Computing, 32 (3-4): 257-276 (2019)Data Analysis for Detecting a Temporary Breath Inability Episode., , , , , , and . IDEAL, volume 8669 of Lecture Notes in Computer Science, page 126-133. Springer, (2014)Diagnosis of pediatric obstructive sleep apnea: Preliminary findings using automatic analysis of airflow and oximetry recordings obtained at patients' home., , , , , and . Biomed. Signal Proc. and Control, (2015)Exploring the spectral information of airflow recordings to help in pediatric Obstructive Sleep Apnea-Hypopnea Syndrome diagnosis., , , , , and . EMBC, page 2298-2301. IEEE, (2014)Statistical and nonlinear analysis of oximetry from respiratory polygraphy to assist in the diagnosis of Sleep Apnea in children., , , , , and . EMBC, page 1860-1863. IEEE, (2014)Multiscale Entropy Analysis of Unattended Oximetric Recordings to Assist in the Screening of Paediatric Sleep Apnoea at Home., , , , , , , , and . Entropy, 19 (6): 284 (2017)