10.26180/5ef6c4f217d2e
Jessica E. Manousakis
Jessica E.
Manousakis
Jordan Maccora
Jordan
Maccora
Clare Anderson
Clare
Anderson
Shortened PST Prediction - Laboratory Data
Monash University
2020
Alertness biomarker
Accident prevention
Drowsiness detection
Pupillometry
performance monitoring
Sleep Deprivation
Sensory Processes, Perception and Performance
Behavioral Neuroscience
2020-06-29 02:16:04
Dataset
https://bridges.monash.edu/articles/dataset/Shortened_PST_Prediction_-_Laboratory_Data/12577679
Bi-hourly PST data conducted across 40-hours of total sleep deprivation in 17 healthy young adults aged 18-30. <div><br><div>Each test is classified as alert or drowsy based on:</div><div>1) Performance impairment measured on the 10-min Psychomotor Vigilance Task</div><div>2) Microsleeps recorded using 6-channel EEG during the PVT</div><div><br></div><div>Three levels of impairment are defined:</div><div>Mild, moderate, and severe</div><div>Based on each individual's well-rested performance</div></div>