[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100635039":3},{"organization":4,"armGroups":7,"interventions":7,"overallOfficials":8,"centralContacts":13,"locations":7,"responsibleParty":22,"collaborators":24,"id":27,"slug":28,"hasResults":29,"nctId":30,"briefTitle":31,"officialTitle":31,"acronym":32,"eligibilityCriteria":33,"healthyVolunteers":29,"sex":34,"minAge":35,"maxAge":36,"enrollmentInfo":37,"targetDuration":7,"studyType":40,"phases":7,"briefSummary":41,"conditions":42,"keywords":46,"overallStatus":54,"whyStopped":7,"lastUpdateSubmitDate":55,"lastUpdatePostDateStruct":56,"startDateStruct":59,"completionDateStruct":61,"leadSponsor":63,"locationsCount":7},{"fullName":5,"class":6},"Assistance Publique - Hôpitaux de Paris","OTHER",null,[9],{"name":10,"affiliation":11,"role":12},"Olivier Pallanca, MD, PhD","Idiap Research Institute, Switzerland","STUDY_DIRECTOR",[14,19],{"name":15,"role":16,"phone":17,"phoneExt":7,"email":18},"Vincent Navarro, MD, PhD","CONTACT","+33 1 42 16 18 11","vincent.navarro@aphp.fr",{"name":20,"role":16,"phone":7,"phoneExt":7,"email":21},"Jinmi BAEK","jinmi.baek@aphp.fr",{"type":23,"investigatorFullName":7,"investigatorTitle":7,"investigatorAffiliation":7,"oldNameTitle":7,"oldOrganization":7},"SPONSOR",[25],{"name":11,"class":26},"UNKNOWN","100635039","prediction-of-different-variants-of-sleep-stages-for-the-diagnosis-support-of-chronic-insomnia-and-epilepsy-100635039",false,"NCT07547501","PREDiction of Different Variants of Sleep Stages for the Diagnosis Support of Chronic Insomnia and Epilepsy","PREDSomADICE","Inclusion Criteria\n\n* Patients with chronic insomnia and\u002For epilepsy who underwent polysomnography in a neurophysiology or neurology setting under the responsibility of Pr Navarro between 01 September 2011 and 31 December 2024.\n* Age ≥18 and ≤65 years at the time of the polysomnography recording.\n\nExclusion Criteria\n\n* Severe psychiatric disorder, including decompensated psychotic disorder, manic episode, or major depressive episode with melancholic features.\n* Use of continuous positive airway pressure (CPAP) therapy during the night of recording.\n* Patient refusal or documented opposition to data use.","ALL","18 Years","65 Years",{"count":38,"type":39},1500,"ESTIMATED","OBSERVATIONAL","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.\n\n\\- 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 (Assistance Publique - Hôpitaux de Paris) data.\n\nThis is a retrospective, observational study.",[43,44,45],"Chronic Insomnia","Epilepsy","Sleep Disorders",[47,48,49,50,51,52,53,44],"Sleep staging","Polysomnography","EEG","Deep learning","Artificial intelligence","Sleep disorders","Chronic insomnia","NOT_YET_RECRUITING","2026-04-23",{"date":57,"type":58},"2026-04-29","ACTUAL",{"date":60,"type":39},"2026-06",{"date":62,"type":39},"2027-03",{"name":5,"class":6}]