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Aidman E, Johnson K, Hoggan BL, Fidock J, Paech GM, Della Vedova CB, Pajcin M, Grant C, Kamimori G, Mitchelson E, Banks S. Synchronized drowsiness monitoring and simulated driving performance data under 50-hr sleep deprivation: A double-blind placebo-controlled caffeine intervention. Data Brief 2018; 19:1335-1340. [PMID: 30229009 PMCID: PMC6141128 DOI: 10.1016/j.dib.2018.06.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 05/23/2018] [Accepted: 06/05/2018] [Indexed: 12/02/2022] Open
Abstract
This paper presents the 60-s time-resolution segment from our 50-h total sleep deprivation (TSD) dataset (Aidman et al., 2018) [1] that captures minute-by-minute dynamics of driving performance (lane keeping and speed variability) along with objective, oculography-derived drowsiness estimates synchronised to the same 1-min driving epochs. Eleven participants (5 females, aged 18–28) were randomised into caffeine (administered in four 200 mg doses via chewing gum in the early morning hours) or placebo groups. Every three hours they performed a 40 min simulated drive in a medium fidelity driving simulator, while their drowsiness was continuously measured with a spectacle frame-mounted infra-red alertness monitoring system. The dataset covers 15 driving periods of 40 min each, and thus contains over 600 data points of paired data per participant. The 1-min time resolution enables detailed time-series analyses of both time-since-wake and time-on-task performance dynamics and associated drowsiness levels. It also enables direct examination of the relationships between drowsiness and task performance measures. The question of how these relationships might change under various intervention conditions (caffeine in our case) seems worth further investigation.
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Affiliation(s)
- E Aidman
- Defence Science and Technology Group, Land Division, Edinburgh, Australia
| | - K Johnson
- Defence Science and Technology Group, Land Division, Edinburgh, Australia
| | - B L Hoggan
- Defence Science and Technology Group, Land Division, Edinburgh, Australia
| | - J Fidock
- Defence Science and Technology Group, Land Division, Edinburgh, Australia
| | - G M Paech
- University of South Australia, School of Psychology, Social Work and Social Policy, Centre for Sleep Research, Adelaide, Australia
| | - C B Della Vedova
- University of South Australia, School of Pharmacy and Medical Sciences, Adelaide, Australia
| | - M Pajcin
- University of South Australia, School of Pharmacy and Medical Sciences, Adelaide, Australia
| | - C Grant
- University of South Australia, School of Psychology, Social Work and Social Policy, Centre for Sleep Research, Adelaide, Australia
| | - G Kamimori
- Behavioral Biology Branch, Center for Military Psychiatry and Neuroscience Research, Walter Reed Army Institute of Research, Silver Spring, United States
| | - E Mitchelson
- Defence Science and Technology Group, Land Division, Edinburgh, Australia
| | - S Banks
- University of South Australia, School of Psychology, Social Work and Social Policy, Centre for Sleep Research, Adelaide, Australia
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