Clinical Trial: PREDiction of Different Variants of Sleep Stages for the Diagnosis Support of Chronic Insomnia and Epilepsy

U.S., April 24 -- ClinicalTrials.gov registry received information related to the study (NCT07547501) titled 'PREDiction of Different Variants of Sleep Stages for the Diagnosis Support of Chronic Insomnia and Epilepsy' on April 17.

Brief Summary: The objective of this study is to develop and validate deep learning algorithms for automated sleep stage and sub-stage classification using overnight polysomnography data. The models will be trained and evaluated on at least three independent datasets to ensure generalizability.

- Primary Outcome Measure : Accuracy of deep learning-based sleep stage classification compared to expert manual scoring (>80% target agreement), evaluated across multiple polysomnography datasets including AP-HP (Assist...