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基于眼动电图的共济失调障碍评估的一种经济方法。

An Affordable Method for Evaluation of Ataxic Disorders Based on Electrooculography.

机构信息

Departamento de Ingeniería Eléctrica, Electrónica, Computadores y Sistemas, Universidad de Oviedo, Campus de Gijón, 33204 Gijón, Spain.

Instituto de Telecomunicações, Av. Rovisco Pais, 1, 1049-001 Lisboa, Portugal.

出版信息

Sensors (Basel). 2019 Aug 30;19(17):3756. doi: 10.3390/s19173756.

DOI:10.3390/s19173756
PMID:31480331
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6751503/
Abstract

Ataxias are a group of neurodegenerative disorders characterized by cerebellar dysfunction that cause irregularities in the rate, rhythm, amplitude, and force of voluntary movements. The electrooculogram (EOG) may provide clues about ataxic disorders because most of these patients have difficulty with visual tracking and fixing their gaze. Using electrodes, EOG records the biopotentials generated by eye movements. In this paper, three surface electrodes are placed around the eye socket, and the biopotentials generated by eye movements are acquired using a commercial bioamplifier device. Next, the signals are sent to the computer to be digitally processed to extract the rate of saccades as well as the delay and deviation of the gaze in response to a stimulus. These features are analysed in a novel software application designed to help physicians in evaluating ataxia. After applying several tests to both healthy and ataxia-affected patients, differences in EOG results were found. The evaluation of the reliability of the designed software application is made according to three metrics: sensitivity, specificity, and accuracy. The results indicate the proposed system's viability as an affordable method for evaluation of ataxic disorders.

摘要

眼球震颤是一种以小脑功能障碍为特征的神经退行性疾病,导致随意运动的频率、节律、幅度和力量出现不规则。眼动电图(EOG)可能为眼球震颤障碍提供线索,因为这些患者大多在视觉跟踪和凝视固定方面存在困难。EOG 使用电极记录眼球运动产生的生物电位。在本文中,三个表面电极放置在眼眶周围,使用商业生物放大器设备获取眼球运动产生的生物电位。然后,信号被发送到计算机进行数字处理,以提取眼跳的频率以及对刺激的注视延迟和偏差。这些特征在一个专门设计的软件应用程序中进行分析,以帮助医生评估眼球震颤。对健康人和眼球震颤患者进行了多项测试后,发现 EOG 结果存在差异。根据灵敏度、特异性和准确性这三个指标来评估所设计软件应用程序的可靠性。结果表明,所提出的系统具有作为一种评估眼球震颤障碍的经济实惠方法的可行性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87a6/6751503/84c275fbf128/sensors-19-03756-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87a6/6751503/97caa63ae692/sensors-19-03756-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87a6/6751503/150d4d938d52/sensors-19-03756-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87a6/6751503/d25ce4f44c21/sensors-19-03756-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87a6/6751503/e026cf745d1d/sensors-19-03756-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87a6/6751503/275ed4656a19/sensors-19-03756-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87a6/6751503/da3fd94eecf2/sensors-19-03756-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87a6/6751503/1881b1b013a6/sensors-19-03756-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87a6/6751503/4c1a9b125139/sensors-19-03756-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87a6/6751503/84c275fbf128/sensors-19-03756-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87a6/6751503/97caa63ae692/sensors-19-03756-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87a6/6751503/150d4d938d52/sensors-19-03756-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87a6/6751503/d25ce4f44c21/sensors-19-03756-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87a6/6751503/e026cf745d1d/sensors-19-03756-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87a6/6751503/275ed4656a19/sensors-19-03756-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87a6/6751503/da3fd94eecf2/sensors-19-03756-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87a6/6751503/1881b1b013a6/sensors-19-03756-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87a6/6751503/4c1a9b125139/sensors-19-03756-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87a6/6751503/84c275fbf128/sensors-19-03756-g009.jpg

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