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Automated analysis of nocturnal oximetry as screening tool for childhood obstructive sleep apnea-hypopnea syndrome.

, , , , , , , , and . EMBC, page 2800-2803. IEEE, (2015)

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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)Assessment of the running resistance of a diesel passenger train using evolutionary bilevel algorithms and operational data., , and . Eng. Appl. Artif. Intell., (2021)An explainable deep-learning architecture for pediatric sleep apnea identification from overnight airflow and oximetry signals., , , , , , , , and . Biomed. Signal Process. Control., 87 (Part B): 105490 (January 2024)Multivariate Analysis of Blood Oxygen Saturation Recordings in Obstructive Sleep Apnea Diagnosis., , , and . IEEE Trans. Biomed. Eng., 57 (12): 2816-2824 (2010)Neurofeedback Training with a Motor Imagery-Based BCI Improves Neurocognitive Functions in Elderly People., , , and . Brain-Computer Interface Research (4), Springer, (2015)Analysis of nocturnal oxygen saturation recordings using kernel entropy to assist in sleep apnea-hypopnea diagnosis., , , , and . EMBC, page 1745-1748. IEEE, (2011)Feature selection using a genetic algorithm in a motor imagery-based Brain Computer Interface., , and . EMBC, page 7703-7706. IEEE, (2011)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)Assessment of neurofeedback training by means of motor imagery based-BCI for cognitive rehabilitation., , , , and . EMBC, page 3630-3633. IEEE, (2014)Ensemble-learning regression to estimate sleep apnea severity using at-home oximetry in adults., , , , , , , and . Appl. Soft Comput., (2021)