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用iPhone中的3D面部识别系统对面部神经麻进行新型评估方法

Koki Hasebe¹, Tsuyoshi Kojima¹, Yusuke Okanoue²

¹Department of Otolaryngology, Head and Neck Surgery, Graduate School of Medicine, Kyoto University, Kawahara-cho 54, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan.

Auris, nasus, larynx

|March 23, 2024

概括

一个新的iPhone应用程序提供了一种快速,客观和定量方法来评估面部运动,克服面部的传统主观和耗时的客观评估的局限性.

科学领域:

医疗技术医疗技术医学技术
生物医学工程生物医学工程
数字健康数字健康

背景情况:

传统的面部评估方法,如Yanagihara和House-Brackmann系统,受到观察者变化的影响.
现有的定量客观方法,如电神经图和电肌图,往往需要大量的时间.

研究的目的:

引入一种快速,客观和定量方法来评估面部运动.
开发一个用户友好的应用程序来评估面部.

主要方法:

开发了一个iPhone应用程序,利用面部识别,前置摄像头和红外技术来实现3D面部拓.
按地区量化比较反侧面部运动和反侧面部运动.
验证了该应用程序在健康个体和面部患者的性能,并将结果与已知的方法进行比较.

主要成果:

该应用程序提供了一个直观的用户体验,并在60秒内完成评估.
该应用程序的评估得分与Yanagihara系统,House-Brackmann系统和肌电图学有很高的相关性.
与传统方法相比,该应用程序在评估详细的面部运动方面表现出更高的性能.

结论:

新的iPhone应用程序为有效和全面的面部评估提供了一个有价值的工具.
这项技术为客观,定量评估在临床环境中提供了一种实际的解决方案.

关键词:

生物医学图像处理生物医学图像处理面部识别系统是面部识别系统.面部面部面部三维成像三维成像技术

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