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Cross Approximate Entropy Analysis of Nocturnal Oximetry Signals in the Diagnosis of the Obstructive Sleep Apnea Syndrome.

, , , , , and . EMBC, page 6149-6152. IEEE, (2006)

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Machine learning for nocturnal diagnosis of chronic obstructive pulmonary disease using digital oximetry biomarkers., , , and . CoRR, (2020)Usefulness of Spectral Analysis of Respiratory Rate Variability to Help in Pediatric Sleep Apnea-Hypopnea Syndrome Diagnosis., , , , , , , and . EMBC, page 4580-4583. IEEE, (2019)Convolutional Neural Networks to Detect Pediatric Apnea-Hypopnea Events from Oximetry., , , , , , , and . EMBC, page 3555-3558. IEEE, (2019)Analysis and classification of oximetry recordings to predict obstructive sleep apnea severity in children., , , , , , , , and . EMBC, page 4540-4543. IEEE, (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)Usefulness of discrete wavelet transform in the analysis of oximetry signals to assist in childhood sleep apnea-hypopnea syndrome diagnosis., , , , , , , , and . EMBC, page 3753-3756. IEEE, (2017)Apnea-hypopnea index estimation from spectral analysis of airflow recordings., , , , , and . EMBC, page 3444-3447. IEEE, (2012)Automated analysis of nocturnal oximetry as screening tool for childhood obstructive sleep apnea-hypopnea syndrome., , , , , , , , and . EMBC, page 2800-2803. IEEE, (2015)Oxygen saturation regularity analysis in the diagnosis of obstructive sleep apnea., , , , and . Artif. Intell. Medicine, 37 (2): 111-118 (2006)Utility of Approximate Entropy From Overnight Pulse Oximetry Data in the Diagnosis of the Obstructive Sleep Apnea Syndrome., , , , and . IEEE Trans. Biomed. Eng., 54 (1): 107-113 (2007)