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通过眼电图对不同计算机任务期间的眨眼频率进行量化。

Eye blink frequency during different computer tasks quantified by electrooculography.

作者信息

Skotte J H, Nøjgaard J K, Jørgensen L V, Christensen K B, Sjøgaard G

机构信息

National Institute of Occupational Health, Lersø Parkalle 105, 2100, Copenhagen Ø, Denmark.

出版信息

Eur J Appl Physiol. 2007 Jan;99(2):113-9. doi: 10.1007/s00421-006-0322-6. Epub 2006 Nov 7.

Abstract

The purpose of the study was to evaluate electrooculography (EOG) as an automatic method to measure the human eye blink frequency (BF) during passive and interactive computer tasks performed at two screen heights. Ten healthy subjects (5 males and 5 females) participated in the study in a 23 degrees C temperature and 30-35% relative humidity controlled simulated office environment. Each test subject completed a 2 x 10 min active task of computer work and a 3 x 10 min passive task of watching a film on a video display unit (VDU). Both tasks included two viewing angles: standard (the monitors' upper edge was in the same height as the subjects' eyes) and low (lowered by 25 degrees). EOG signals were recorded with two Ag/AgCl surface electrodes positioned above and below the right eye, and a reference electrode was placed behind the ear. The experiments were video filmed, and eye blinks were counted manually from the video recordings and compared to the EOG measurements. The method showed a high validity to detect blinks during computer work: 95.4% of the blinks were retrieved by the EOG method and very few artefacts from eye movements were erroneously classified as eye blinks (2.4%). By use of the EOG method, the computer task was found to significantly decrease the BF by 69% compared to the passive task (P < 0.001), and a small decrease (12-14%) was found by lowering the viewing angle by 25 degrees.

摘要

本研究的目的是评估眼电图(EOG)作为一种自动方法,用于测量在两个屏幕高度下进行被动和交互式计算机任务时的人眼眨眼频率(BF)。十名健康受试者(5名男性和5名女性)在温度为23摄氏度、相对湿度为30 - 35%的受控模拟办公室环境中参与了研究。每个测试受试者完成了2×10分钟的计算机工作主动任务和3×10分钟在视频显示单元(VDU)上观看电影的被动任务。两项任务都包括两个视角:标准视角(显示器上边缘与受试者眼睛高度相同)和低视角(降低25度)。使用两个Ag/AgCl表面电极记录右眼上方和下方的EOG信号,并在耳后放置一个参考电极。实验进行了视频拍摄,从视频记录中手动计数眨眼次数,并与EOG测量结果进行比较。该方法在检测计算机工作期间的眨眼方面显示出很高的有效性:95.4%的眨眼可通过EOG方法检测到,很少有来自眼球运动的伪迹被错误地分类为眨眼(2.4%)。通过使用EOG方法,发现与被动任务相比,计算机任务可使BF显著降低69%(P < 0.001),并且将视角降低25度会发现有小幅降低(12 - 14%)。

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