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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.
Off-body detection of respiratory and cardiac activity presents an enormous opportunity for general health, stress and sleep quality monitoring. The presented setup detects the mechanical activity of both heart and lungs by measuring pressure difference fluctuations between two air volumes underneath the chest area of the subject. The registered signals were characterized over four different sleep...
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