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A Fast Balance Test Method of Screening for Vestibular Disorders Using Low Cost Camera and Personal Computer

机译:使用低成本相机和个人计算机进行前庭障碍筛选的快速平衡测试方法

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This paper presents a fast balance test method of screening for vestibular disorders. Vestibular disorders and their complications have become one of the most common health problems worldwide. Patients with vestibular disorders not only feel uncomfortable in daily living but also have higher risk of stroke. Because of the popularity of vestibular disorders, a good screening method can significantly save resources for hospitals and society. Currently, there are three vestibular disorder diagnostic methods including hearing tests, eye movement tests, and balance tests. The first two methods are sensitive and accurate. However, they require complicated and costly equipment. Among balance test methods, observing the body sway in several postures is a good choice when the testing time needs to be shortened; nonetheless, diagnostic results strongly depend on subjective evaluations of doctors. This paper contributes a solution by introducing a computer-aided method for quantitatively measure the degree of swaying. The proposed algorithm can process real time video captured by a camera, detect two colored stickers attached on the shirt, and calculate the inclination of the patient body. Many sub-processes have been utilized to enhance the measurement accuracy and method applicability. Experiments were performed with a mannequin and human bodies. Results show that angles measured by the proposed method and the reference data are almost equal. The plotted results show remarkably differences between healthy volunteers and patients. This means that the proposed system could provide a useful basis for screening and contribute an important step towards applying machine learning in vestibular disorders diagnosis.
机译:本文介绍了前庭疾病筛查的快速平衡试验方法。前庭疾病及其并发症已成为全球最常见的健康问题之一。前庭疾病的患者不仅在日常生活中感到不舒服,而且还具有更高的中风风险。由于前庭障碍的普及,良好的筛查方法可以显着节省医院和社会的资源。目前,有三种前庭疾病诊断方法,包括听力测试,眼睛运动试验和平衡测试。前两种方法是敏感和准确的。但是,它们需要复杂和昂贵的设备。在平衡试验方法中,观察身体在几个姿势中摇摆在需要缩短测试时间时是一个不错的选择;尽管如此,诊断结果强烈依赖医生的主观评估。本文通过引入用于定量测量摇曳程度的计算机辅助方法来贡献解决方案。所提出的算法可以处理摄像机捕获的实时视频,检测衬衫上的两个彩色贴纸,并计算患者体的倾斜度。已经利用了许多子过程来提高测量精度和方法适用性。用时装模特和人体进行实验。结果表明,通过所提出的方法和参考数据测量的角度几乎相等。绘制的结果在健康志愿者和患者之间表现出显着的差异。这意味着所提出的系统可以为筛选和贡献朝着前庭障碍诊断中的机器学习来提供重要阶段提供有用的基础。

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