A Bayesian neural network approach to compare the spectral information from nasal pressure and thermistor airflow in the automatic sleep apnea severity estimation - researchr publication authors

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Gonzalo C. Gutiérrez-Tobal, Julio de Frutos, Daniel Álvarez, Fernando Vaquerizo-Villar, Verónica Barroso-García, Andrea Crespo, Félix del Campo, Roberto Hornero. A Bayesian neural network approach to compare the spectral information from nasal pressure and thermistor airflow in the automatic sleep apnea severity estimation. In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jeju Island, South Korea, July 11-15, 2017. pages 3741-3744, IEEE, 2017. [doi]

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