Automatic Apnea Identification by Transformation of the Cepstral Domain

A new approach based on the transformation of the Cepstral domain is developed on this work. This approach reaches an automatic diagnosis for the syndrome of obstructive sleep apnea that includes a specific block for the removal of electrocardiogram (ECG) artifacts and the R wave detection. The syst...

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Veröffentlicht in:	Cognitive computation 2013-12, Vol.5 (4), p.558-565
Hauptverfasser:	Travieso, Carlos M., Alonso, Jesús B., del Pozo-Baños, Marcos, Ticay-Rivas, Jaime R., Lopez-de-Ipiña, Karmele
Format:	Artikel
Sprache:	eng
Schlagworte:	Abdomen Accuracy Artificial Intelligence Automation Biomedical and Life Sciences Biomedicine Classification Computation by Abstract Devices Computational Biology/Bioinformatics Electrocardiography Electrodes Fourier transforms Heart rate Markov chains Medical equipment Neurosciences Parameterization Respiration Sleep apnea Support vector machines Transformations (mathematics)
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