TY  - JOUR 
AU  - Marcos Martín, José Víctor
AU  - Hornero Sánchez, Roberto
AU  - Álvarez González, Daniel
AU  - Campo Matias, Félix del
AU  - Zamarrón, Carlos
PY  - 2009
SN  - 1350-4533
UR  - https://uvadoc.uva.es/handle/10324/80463
AB  - The aim of this study is to assess the capability of traditional statistical pattern recognition techniques to help in obstructive sleep apnoea (OSA) diagnosis. Classifiers based on quadratic (QDA) and linear (LDA) discriminant analysis, K-nearest...
LA  - spa
PB  - Elsevier
TI  - Assessment of four statistical pattern recognition techniques to assist in obstructive sleep apnoea diagnosis from nocturnal oximetry
DO  - 10.1016/j.medengphy.2009.05.010
ER  -