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使用电眼图集成智能眼镜定量评估眼睑痉挛的眨眼。

Quantitative evaluation of blinking in blepharospasm using electrooculogram-integrated smart eyeglasses.

机构信息

Department of Ophthalmology, Hyogo Medical University, 1-1 Mukogawa-cho, Nishinomiya, Hyogo, 663-8501, Japan.

出版信息

Sci Rep. 2023 Jun 18;13(1):9868. doi: 10.1038/s41598-023-36094-4.

Abstract

Smart eyeglasses with an integrated electrooculogram (EOG) device (JINS MEME ES_R, JINS Inc.) were evaluated as a quantitative diagnostic tool for blepharospasm. Participants without blepharospasm (n = 21) and patients with blepharospasm (n = 19) undertook two voluntary blinking tests (light and fast) while wearing the smart eyeglasses. Vertical (Vv) and horizontal (Vh) components were extracted from time-series voltage waveforms recorded during 30 s of the blinking tests. Two parameters, the ratio between the maximum and minimum values in the power spectrum (peak-bottom ratio, Fourier transform analysis) and the mean amplitude of the EOG waveform (peak amplitude analysis) were calculated. The mean amplitude of Vh from light and fast blinking was significantly higher in the blepharospasm group than in the control group (P  < 0.05 and P  < 0.05). Similarly, the peak-bottom ratio of Vv from light and fast blinking was significantly lower in the blepharospasm group than in the control group (P  < 0.05 and P  < 0.05). The mean amplitude of Vh and peak-bottom ratio of Vv correlated with the scores determined using the Jankovic rating scale (P  < 0.05 and P  < 0.01). Therefore, these parameters are sufficiently accurate for objective blepharospasm classification and diagnosis.

摘要

智能眼镜配备集成眼电图(EOG)设备(JINS MEME ES_R,JINS 公司),被评估为一种定量诊断眼睑痉挛的工具。无眼睑痉挛的参与者(n=21)和眼睑痉挛患者(n=19)在佩戴智能眼镜时进行了两次自愿眨眼测试(轻眨眼和快眨眼)。从眨眼测试 30 秒期间记录的时变电压波形中提取垂直(Vv)和水平(Vh)分量。计算两个参数,即功率谱中最大值与最小值之间的比值(傅里叶变换分析中的峰谷比)和 EOG 波形的平均幅度(峰幅度分析)。轻眨眼和快眨眼的 Vh 平均幅度在眼睑痉挛组中明显高于对照组(P<0.05 和 P<0.05)。同样,轻眨眼和快眨眼的 Vv 的峰谷比在眼睑痉挛组中明显低于对照组(P<0.05 和 P<0.05)。Vh 的平均幅度和 Vv 的峰谷比与 Jankovic 评分量表确定的评分相关(P<0.05 和 P<0.01)。因此,这些参数足以准确地对眼睑痉挛进行客观分类和诊断。

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