A new method for sleep apnea classification using wavelets and feedforward neural networks

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Objectives:This paper presents a novel approach for sleep apnea classification. The goal is to classify each apnea in one of three basic types: obstructive, central and mixed.

论文关键词：Sleep apnea syndrome,Detection and classification of apneas,Supervised neural networks,Discrete wavelet transformation

论文评审过程：Received 17 March 2004, Revised 15 July 2004, Accepted 22 July 2004, Available online 2 December 2004.

论文官网地址：https://doi.org/10.1016/j.artmed.2004.07.014