According to a recent study, up to one billion people worldwide suffer from obstructive sleep apnea (OSA), a nocturnal breathing disorder that causes a major impact on healthcare systems and national economies. Helping physicians more effectively identify sleep stages is essential in the diagnostics of sleep disorders including OSA. A team of researchers in Finland developed a deep learning��
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