Evaluating Electroencephalogram-Based Predictive Model for Drowsiness Measurement to Reduce Accident Risk in Active Individuals: Protocol for a Preliminary Monocentric Study
By validating these novel EEG-based measures, this study aims to lay the groundwork for proactive strategies for drowsiness management in occupational, transportation, and clinical settings.
Authors
- Julien Coelho (ORCID: https://orcid.org/0000-0001-5451-9148)
- Patricia Sagaspe (ORCID: https://orcid.org/0000-0003-2845-1199)
- Jacques Taillard (ORCID: https://orcid.org/0000-0001-9067-8189)
- Julien Mattei
- Khadijeh Sadatnejad (ORCID: https://orcid.org/0000-0002-7433-3946)
- Pierre Berthomier
- Marie Brandewinder
- Zoé Mazurie (ORCID: https://orcid.org/0000-0002-5352-4524)
- Pierre Philip
- Chloe Boitard
- Julie Lenoir
- Christian Berthomier
- Jean-Arthur Micoulaud Franchi
Institutions
- Université de Bordeaux (FR)
- Arts et Métiers (FR)
- Centre Hospitalier Universitaire de Bordeaux (FR)
- Hôpital Pellegrin (FR)
- Collège de Physique et de Philosophie (FR)
Publication Details
- Journal
- JMIR Research Protocols
- Published
- 2026-02-17
- DOI
- https://doi.org/10.2196/83969
- Primary Topic
- Sleep and Work-Related Fatigue
- Type
- article
- Field-Weighted Citation Impact
- 0.00