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Using Photoplethysmography Based Features As Indicators of Drowsiness: Preliminary Results

[+] Author Affiliations
Shubha Majumder, Ajay K. Verma, Abdiaziz Mohamud, Lewis Archer, Kouhyar Tavakolian, Nicholas Wilson

University of North Dakota, Grand Forks, ND

Chunwu Wang

Jilin Normal University, Siping, China

Paper No. DMD2019-3236, pp. V001T09A008; 6 pages
  • 2019 Design of Medical Devices Conference
  • 2019 Design of Medical Devices Conference
  • Minneapolis, Minnesota, USA, April 15–18, 2019
  • ISBN: 978-0-7918-4103-7
  • Copyright © 2019 by ASME


Drowsiness, a transitional psychological state between alertness and sleepiness, is one of the leading reasons for the increased risk of accidents, particularly in commercial aviation. Though electroencephalography (EEG) is widely used for drowsiness assessment, it is impractical for unobtrusive airborne monitoring due to discomfort induced by the number of electrodes touching the scalp. In this work, we investigated the potential of pulse arrival time (PAT), and photoplethysmogram (PPG) features as indicators of drowsiness. Simultaneous vertical electrooculogram (EOG), ear PPG, and electrocardiogram (ECG) were recorded from 18 commercially-rated pilots from 02:00 AM to 04:30 AM. ECG R-peaks and PPG peaks were detected and used for calculation of PAT and heart rate to observe their changes during drowsiness. During the drowsy periods, the PAT and RR intervals increased (i.e., decrease in heart rate) significantly (p < 0.05) compared to baseline. Features based on only PPG also showed a significant increase during drowsiness. However, decrease in PAT/RR during drowsiness for most of the subjects indicates that increase in PAT is not linearly correlated to RR interval and might be reflecting changes in arterial stiffness. Hence, PAT and derived PPG based features with continuous heart rate monitoring can serve as useful indicators of early drowsiness detection.

Copyright © 2019 by ASME



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