Sleep stage classification from ECG using machine learning: Evaluating the impact of signal duration
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Sleep stage flagging is critical for diagnosing conditions like insomnia, sleep apnea, and narcolepsy. Traditional methods rely on time-intensive manual scoring by experts, limiting scalability and accessibility, especially in resource-limited settings. Automa... ...
