NCT07547501Not yet recruiting
PREDiction of Different Variants of Sleep Stages for the Diagnosis Support of Chronic Insomnia and Epilepsy
Source: ClinicalTrials.gov · Last updated 29 Apr 2026
Brief summary (registry, in English)
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 (Assistance Publique - Hôpitaux de Paris) data. This is a retrospective, observational study.
- Status (registry)
- Not yet recruiting
- Study type
- Observational
- Enrollment
- 1500 (estimated)
- First submitted
- 17 Apr 2026
- Start date
- 1 Jun 2026
- Primary completion date
- 31 Mar 2027
- Lead sponsor
- Assistance Publique - Hôpitaux de Paris
- Diseases
- Epilepsy
- NCT number
- NCT07547501
What you commit to
- Study type: Observational
- Planned participants: 1500
- From 1 Jun 2026 to the primary completion date, 31 Mar 2027
- No sites listed in no country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Prior treatment
- Use of continuous positive airway pressure (CPAP) therapy during the night of recording.
Other illness
- Severe psychiatric disorder, including decompensated psychotic disorder, manic episode, or major depressive episode with melancholic features.
Other
- Patient refusal or documented opposition to data use.
Who the study is looking for
- Patients with chronic insomnia and/or epilepsy who underwent polysomnography in a neurophysiology or neurology setting under the responsibility of Pr Navarro between 01 September 2011 and 31 December 2024.
- Age ≥18 and ≤65 years at the time of the polysomnography recording.
Age in the registry: 18 years to 65 years · Sex: All · Does not accept healthy volunteers
This page is information, not medical advice. Discuss any trial with your doctor.