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>