Estimation of sleepiness using frequency components of pupillary response

M. Nakayama, K. Yamamoto, F. Kobayashi
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引用次数: 8

Abstract

Frequency components of pupil responses were extracted from power spectrum density of pupillary change during eye sleepiness tests to conduct an efficient assessment of sleepiness using pupil response. These factor components were applied to two-class classifications of subjective sleepiness using discriminate analysis. The correct rates of the classification during 5 minutes observation were 71% using the Stanford Sleepiness Score (SSS) and a Visual Analogue Scale (VAS), and 94% using the Epworth sleepiness score. Differences in contribution ratios for factor components were shown between the two kinds of subjective sleepiness.
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用瞳孔反应的频率分量估计睡意
从眼嗜睡试验中瞳孔变化的功率谱密度中提取瞳孔反应的频率分量,利用瞳孔反应进行有效的嗜睡评估。采用判别分析将这些因子成分应用于主观嗜睡的两类分类。在5分钟的观察中,使用斯坦福嗜睡评分(SSS)和视觉模拟量表(VAS)分类的正确率为71%,使用艾普沃斯嗜睡评分的正确率为94%。两种主观嗜睡在各因素组成的贡献率上存在差异。
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