Meet ZleepAnlystNet: A Novel Deep Learning Model for Automatic Sleep Stage Scoring based on Single-Channel Raw EEG Data Using Separating Training

Sleep studies have long been vital to understanding human health, providing insights into how rest affects mental and physical well-being. Polysomnography, which is the standard for diagnosing sleep disorders, utilizes an array of sensors to measure signals during sleep, such as brain waves (EEG), eye movements (EOG), and muscle activity (EMG). Despite its importance, the […]

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