A5061414659- Sleep and related disorders
- Sleep and Wakefulness Research
- EEG and Brain-Computer Interfaces
- Obstructive Sleep Apnea Research
- Sleep and Work-Related Fatigue
- Time Series Analysis and Forecasting
- Long-Term Effects of COVID-19
- Pain Management and Placebo Effect
- Diverse Approaches in Healthcare and Education Studies
- IoT-based Smart Home Systems
- Context-Aware Activity Recognition Systems
- Music Technology and Sound Studies
- Restless Legs Syndrome Research
- Psychosomatic Disorders and Their Treatments
- Mind wandering and attention
- Health, Medicine and Society
- Impact of Technology on Adolescents
- Psychoanalysis and Psychopathology Research
- School Health and Nursing Education
- Behavioral Health and Interventions
- Health, Environment, Cognitive Aging
- Non-Invasive Vital Sign Monitoring
- Traditional Chinese Medicine Studies
- Mental Health Research Topics
- Experimental and Theoretical Physics Studies
Université Paris Cité
2018-2025
Sorbonne Paris Cité
2024
Assistance Publique – Hôpitaux de Paris
2019-2021
Université Paris 8
2021
Délégation Paris 5
2018-2020
Hôtel-Dieu de Paris
2019
ABSTRACT Polysomnography (PSG) is essential for diagnosing sleep disorders, but its manual interpretation labor‐intensive. Automated staging algorithms are promising, yet their utility in complex disorders such as insomnia remains uncertain. This study evaluates five of the most recognised classifiers—U‐Sleep, STAGES, GSSC, Luna and YASA—on PSG data from 904 patients with chronic insomnia. Performance was assessed using F1 scores, confusion matrices predicted metrics. The effect...
Abstract Introduction The field of sleep medicine is rapidly evolving, with new methodologies and technologies enhancing the accuracy efficiency analysis. "Pandore," a novel analysis platform, has been developed to address growing need for sophisticated data integration in this domain. Methods Pandore built upon open-source frameworks, ensuring adaptability accessibility. It integrates various state-of-the-art algorithms implemented common software such as Yasa, RSleep, Luna, designed...
Total Sleep time (TST) on 24 hours, is now considered as a crucial point in epidemiological surveys devoted to metabolism and cardiovascular diseases, accident risk, psychiatric diseases cancers. Better understanding those who sleeping less than 6 hours/24 hours with slkeep debt or deprivation, would help us prevent these disorders. The Barometre Santé 2017 telephone Survey made representative sample of the French Population, 12370 subjects aged 18-75 years old. Questionnaires included more...
Polysomnographies (PSG) electroencephalographic (EEG) records contains many relevant information unused in clinical processes. Algorithms commonly used machine learning can help us identify the most important features by models classification problems. The objective is to compare efficiency of EEG Rapid Eye Movement (REM) and Non-Rapid (NREM) sleep from PSG detection chronic insomnia between control records. 299 have included: 54 controls subjects 245 insomniacs. Spectral power central...
Abstract Introduction Many population estimates of sleep duration and quality rely primarily on self-reported data. Passive ubiquitous digital tracking wearable devices may provide more accurate quality. Our objective was to identify trends in social jetlag using data from a popular mobile application (app) France Canada ‘iSommeil.’ Methods We examined 8,207 nights iSommeil, sleep-tracking app Canada. In this analysis, we explored collected 2,126 users. examine parameters by sex between week...
Abstract Introduction A large number of features can be extracted from a single hypnogram, such as stages durations, onsets, or transitions probabilities. Those numerous indicators turn collection sleep records into high dimension space. Dimensionality reduction techniques are then useful to reveal patterns in data. We used 3 dimensionality visualize insomnia phenotypes dataset and control records: principal component analysis (PCA), t-distributed stochastic neighbor embedding (t-SNE)...
Polysomnography (PSG) recording is the gold standard in study of sleep. Qualitative evaluation sleep (sleep scoring) based on visual identification stages by human experts according to traditional Rechtschaffen and Kales more recent American Academy Sleep Medicine standard. Considering that PSG best system for a session, current rules show some limitations, such as inter-scorer accuracy (~80%), ambiguous epochs or paradoxical insomnia. Dimensional reduction methods allow us visualize complex...