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提高眼跳峰值速度测量以检测疲劳。

Improving the saccade peak velocity measurement for detecting fatigue.

机构信息

Brain Work Research Centre, Finnish Institute of Occupational Health, Topeliuksenkatu 41 a A, 00250 Helsinki, Finland.

出版信息

J Neurosci Methods. 2010 Mar 30;187(2):199-206. doi: 10.1016/j.jneumeth.2010.01.010. Epub 2010 Jan 18.

DOI:10.1016/j.jneumeth.2010.01.010
PMID:20083140
Abstract

The aim of the study was to compare saccadic peak velocity (SPV) values measured with video based Fitness Impairment Tester (FIT) and electro-oculography (EOG) during prolonged wakefulness. We tested different numbers of saccades and two saccade paradigms to improve the EOG measurements for detecting fatigue. The SPVs were measured from 11 fast patrol boat navigators with FIT and EOG every sixth hour until 54 h. Subjective sleepiness was assessed with the Karolinska Sleepiness Scale. EOG was measured using an overlap and a gap paradigm and the data was divided into sequential five 20-saccade blocks and cumulative blocks of 20, 40, 60, 80, and 100 saccades. Compared to the gap paradigm, the overlap paradigm produced a higher number of analyzable saccades for a given measurement time. The shorter measurements (20-40 saccades) appeared to be more sensitive for fatigue, whereas the longer measurements (60-100 saccades) were more sensitive to time spent on the task. Thus, the optimal number of saccades varies also depending on the research question. The EOG method was more sensitive to fatigue than FIT. The FIT values measured after 30 and 36 h of wakefulness did not differ significantly from the baseline values, while subjective sleepiness and the EOG values showed that the participants were significantly less alert at these time points. The EOG measurements can be improved for detecting fatigue by using the overlap saccade paradigm. The SPV values measured with the EOG method appear to be somewhat more sensitive in detecting fatigue than the FIT method.

摘要

本研究旨在比较视频基健身损伤测试仪(FIT)和眼动描记术(EOG)在长时间清醒过程中测量的眼跳峰值速度(SPV)值。我们测试了不同数量的眼跳和两种眼跳范式,以提高 EOG 测量结果,从而检测疲劳。使用 FIT 和 EOG 每六小时对 11 名快速巡逻艇导航员进行一次 SPV 测量,直到 54 小时。使用 Karolinska 嗜睡量表评估主观嗜睡。EOG 使用重叠和间隙范式进行测量,数据分为五个连续的 20 次眼跳块和 20、40、60、80 和 100 次眼跳的累积块。与间隙范式相比,重叠范式在给定的测量时间内产生了更多可分析的眼跳。较短的测量(20-40 次眼跳)似乎对疲劳更敏感,而较长的测量(60-100 次眼跳)则对任务时间的敏感度更高。因此,最佳眼跳数量也取决于研究问题。EOG 方法比 FIT 更能检测疲劳。在清醒 30 和 36 小时后测量的 FIT 值与基线值没有显著差异,而主观嗜睡和 EOG 值表明参与者在这些时间点的警觉性明显降低。通过使用重叠眼跳范式,EOG 测量可以提高检测疲劳的灵敏度。与 FIT 方法相比,EOG 方法测量的 SPV 值似乎在检测疲劳方面更敏感。

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