Synchronized drowsiness monitoring and simulated driving performance data under 50-hr sleep deprivation: A double-blind placebo-controlled caffeine intervention
| Autor: | Maja Pajcin, C. Della Vedova, Justin Fidock, Gary H. Kamimori, Benjamin Hoggan, Gemma M. Paech, Siobhan Banks, Crystal Grant, E. Mitchelson, Eugene Aidman, Kayla Johnson |
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| Přispěvatelé: | Aidman, E, Johnson, K, Hoggan, BL, Fidock, J, Paech, GM, Della Vedova, CB, Pajcin, M, Grant, C, Kamimori, G, Mitchelson, E, Banks, S. |
| Rok vydání: | 2018 |
| Předmět: |
030110 physiology
0301 basic medicine medicine.medical_specialty lcsh:Computer applications to medicine. Medical informatics drowsiness and task performance measures Placebo 03 medical and health sciences chemistry.chemical_compound 0302 clinical medicine Physical medicine and rehabilitation Medicine lcsh:Science (General) Morning Paired Data Multidisciplinary business.industry Driving simulator sleep deprivation Sleep deprivation Alertness cafeine intervention chemistry lcsh:R858-859.7 medicine.symptom Every Three Hours business Caffeine 030217 neurology & neurosurgery lcsh:Q1-390 |
| Zdroj: | Data in Brief, Vol 19, Iss, Pp 1335-1340 (2018) |
| ISSN: | 2352-3409 |
| Popis: | 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 Refereed/Peer-reviewed |
| Databáze: | OpenAIRE |
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