Assessment of different methodologies to include temporal information in classifying episodes of sleep apnea based on single-lead electrocardiogram

Automated analysis of sleep apnea based on single-lead electrocardiogram would make screening and diagnosis much more accessible. Over the years, several algorithms have been proposed in the literature. In most of them, one or several temporal averaging techniques are used to improve classifier performance. A comprehensive comparison between those techniques however has never been published.