» Articles » PMID: 23997703

Assessment of Drowsiness Based on Ocular Parameters Detected by Infrared Reflectance Oculography

Overview
Specialties Neurology
Psychiatry
Date 2013 Sep 3
PMID 23997703
Citations 20
Authors
Affiliations
Soon will be listed here.
Abstract

Study Objectives: Numerous ocular parameters have been proposed as reliable physiological markers of drowsiness. A device that measures many of these parameters and then combines them into a single metric (the Johns Drowsiness Scale [JDS]) is being used commercially to assess drowsiness in professional drivers. Here, we examine how these parameters reflect changes in drowsiness, and how they relate to objective and subjective indices of the drowsy state in a controlled laboratory setting.

Design: A within subject prospective study.

Participants: 29 healthy adults (18 males; mean age 23.3 ± 4.6 years; range 18-34 years).

Interventions: N/A.

Measurements And Results: Over the course of a 30-h extended wake vigil under constant routine (CR) conditions, participants were monitored using infrared reflectance oculography (Optalert) and completed bi-hourly neurobehavioral tests, including the Karolinska Sleepiness Scale (KSS) and Psychomotor Vigilance Task (PVT). Ocular-defined increases in drowsiness were evident with extended time awake and during the biological night for all ocular parameters; JDS being the most sensitive marker of drowsiness induced by sleep regulatory processes (p < 0.0001). In addition, the associations between JDS in the preceding 10-min period and subsequent PVT lapses and KSS were stronger (AUC 0.74/0.80, respectively) than any other ocular metric, such that PVT lapses, mean response time (RT), and KSS increased in a dose-response manner as a function of prior JDS score (p < 0.0001).

Conclusions: Ocular parameters captured by infrared reflectance oculography detected fluctuations in drowsiness due to time awake and during the biological night. The JDS outcome was the strongest predictor of drowsiness among those tested, and showed a clear association to objective and subjective measures of drowsiness. Our findings indicate this real-time objective drowsiness monitoring system is an effective tool for monitoring changes in alertness and performance along the alert-drowsy continuum in a controlled laboratory setting.

Citing Articles

Wearable Near-Eye Tracking Technologies for Health: A Review.

Zhu L, Chen J, Yang H, Zhou X, Gao Q, Loureiro R Bioengineering (Basel). 2024; 11(7).

PMID: 39061820 PMC: 11273595. DOI: 10.3390/bioengineering11070738.


Accurate detection of acute sleep deprivation using a metabolomic biomarker-A machine learning approach.

Jeppe K, Ftouni S, Nijagal B, Grant L, Lockley S, Rajaratnam S Sci Adv. 2024; 10(10):eadj6834.

PMID: 38457492 PMC: 11094653. DOI: 10.1126/sciadv.adj6834.


PERCLOS-based technologies for detecting drowsiness: current evidence and future directions.

Abe T Sleep Adv. 2023; 4(1):zpad006.

PMID: 37193281 PMC: 10108649. DOI: 10.1093/sleepadvances/zpad006.


Feeling sleepy? stop driving-awareness of fall asleep crashes.

Anderson C, Cai A, Lee M, Horrey W, Liang Y, OBrien C Sleep. 2023; 46(11).

PMID: 37158173 PMC: 10636256. DOI: 10.1093/sleep/zsad136.


On-road driving impairment following sleep deprivation differs according to age.

Cai A, Manousakis J, Singh B, Kuo J, Jeppe K, Francis-Pester E Sci Rep. 2021; 11(1):21561.

PMID: 34732793 PMC: 8566466. DOI: 10.1038/s41598-021-99133-y.


References
1.
Schleicher R, Galley N, Briest S, Galley L . Blinks and saccades as indicators of fatigue in sleepiness warnings: looking tired?. Ergonomics. 2008; 51(7):982-1010. DOI: 10.1080/00140130701817062. View

2.
Lim J, Dinges D . Sleep deprivation and vigilant attention. Ann N Y Acad Sci. 2008; 1129:305-22. DOI: 10.1196/annals.1417.002. View

3.
Hakkanen H, Summala H, Partinen M, Tiihonen M, Silvo J . Blink duration as an indicator of driver sleepiness in professional bus drivers. Sleep. 1999; 22(6):798-802. DOI: 10.1093/sleep/22.6.798. View

4.
Anderson C, Horne J . Sleepiness enhances distraction during a monotonous task. Sleep. 2006; 29(4):573-6. DOI: 10.1093/sleep/29.4.573. View

5.
Rowland L, Thomas M, Thorne D, Sing H, Krichmar J, Davis H . Oculomotor responses during partial and total sleep deprivation. Aviat Space Environ Med. 2005; 76(7 Suppl):C104-13. View