Real-time sleep disorder monitoring design using dynamic temporal graphs with facial and acoustic feature fusion
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Introduction: Sleep disorders pose significant risks to patient safety, yet traditional polysomnography imposes substantial discomfort and laboratory constraints. We developed a non-invasive multimodal monitoring system for real-... ...
