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A classification algorithm based on spectral features from nocturnal oximetry and support vector machines to assist

J Victor Marcos1, Roberto Hornero, Daniel Alvarez

  • 1The Biomedical Engineering Group, E.T.S.I. de Telecomunicación, University of Valladolid, Camino del Cementerio s/n, Valladolid, Spain. jvmarcos@gmail.com

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|December 8, 2009
PubMed

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