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基于深度图像测量喉结突出度以评估吞咽功能

Elevation Measurement of Laryngeal Prominence from Depth Images for Evaluating Swallowing Function.

作者信息

Sugimoto Chika, Masuyama Yuto

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:1562-1565. doi: 10.1109/EMBC.2018.8512552.

Abstract

A system which easily evaluates swallowing function is needed for the early diagnosis of deglutition disorder and the support for daily exercise for the purpose of its maintenance and recovery. We propose a method to measure laryngeal movement in a non-contact and non-invasive way with reasonable accuracy. To evaluate laryngeal elevation quantitatively, laryngeal prominence is detected from depth data by area extraction based on the classifier obtained by using a decision tree and optimum solution selection using species-based PSO. The elevation time and amount is calculated by tracking the laryngeal prominence. The laryngeal movement could be observed in persons with laryngeal prominence during water swallowing test.

摘要

为了早期诊断吞咽障碍并为维持和恢复吞咽功能的日常锻炼提供支持,需要一种能够轻松评估吞咽功能的系统。我们提出了一种以合理精度进行非接触、非侵入性测量喉部运动的方法。为了定量评估喉部抬高,基于使用决策树获得的分类器通过区域提取从深度数据中检测喉结,并使用基于物种的粒子群优化算法进行最优解选择。通过跟踪喉结来计算抬高时间和幅度。在吞咽水测试期间,可以观察到有喉结的人喉部的运动。

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