To develop an easy-to-use measurement tool for monitoring fatigue and alertness, particularly in sleep-deprived subjects.
Objective and primary endpoint: Demonstrate that the NaoX measurement tool detects sleep deprivation in medical residents performing medical shifts. The primary endpoint is the detection of a significant decrease in Coefficient Alpha Attenuation (CAA) between the pre- and post-sleep deprivation measurements. The data analysis will be blinded to the measurement. Secondary endpoints and objectives : Demonstrate a link between the Alpha Attenuation Coefficient (AAC) measured by the NaoX measurement tool and the vigilance tests. Endpoint: significant increase in PVT (Psychomotor Vigilance Task) time associated with a significant decrease in Alpha Attenuation Coefficient (AAC). Demonstrate a link between the Alpha Attenuation Coefficient (AAC) measured by the NaoX measurement tool and the state of fatigue experienced. Endpoint: significant increase in Karolinska Sleepiness Scale (KSS) score associated with a significant decrease in Alpha Attenuation Coefficient (AAC). Experimental scheme: 3 cycles of 2 recordings with the NaoX measurement tool associated with a self-questionnaire and vigilance tests (approximately 30 minutes per recording), carried out before and after a night shift by a medical resident. Population targeted: Medical residents performing night shifts of at least 12 hours.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
OTHER
Masking
NONE
Enrollment
30
Intrauaricular measurement tool developed by NaoX Technology to retrieve EEG type data.
Associated with simple and self-managed psychometric tests.
Pediatric Intensive Care Unit, Raymond Poincaré Hospital, APHP
Garches, France
RECRUITINGEEG data collected by head phone like EEG electrodes developed by NaoX Technologies
Demonstrate that the NaoX head phone like EEG electrodes detects sleep deprivation in medical residents performing medical shifts. The primary endpoint is the detection of a significant decrease in Coefficient Alpha Attenuation (CAA) between the pre- and post-sleep deprivation measurements. The data analysis will be blinded to the measurement.
Time frame: through study completion, an average of 12 hours
Demonstrate a link between the Alpha Attenuation Coefficient (AAC) measured by NaoX head phone like EEG electrodes and the vigilance tests
Endpoint: significant increase in PVT (Psychomotor Vigilance Task) time associated with a significant decrease in Alpha Attenuation Coefficient (AAC).
Time frame: through study completion, an average of 12 hours
Demonstrate a link between the Alpha Attenuation Coefficient (AAC) measured by the NaoX head phone like EEG electrodes tool and the state of fatigue experienced
Endpoint: significant increase in Karolinska Sleepiness Scale (KSS) score associated with a significant decrease in Alpha Attenuation Coefficient (AAC).
Time frame: through study completion, an average of 12 hours
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