论文标题
帕金森氏病的口面运动学的估计：2D和3D无标记系统的比较
Estimation of Orofacial Kinematics in Parkinson's Disease: Comparison of 2D and 3D Markerless Systems for Motion Tracking
论文作者
论文摘要
帕金森氏病（PD）的人经常缺陷很常见，其进化可能代表了疾病进展的重要生物标志物。我们正在开发一个自动化系统，以评估PD中的口面功能，该系统可在家中或临床内使用，并可以提供有用的客观临床信息，以供疾病管理。我们当前的方法依赖于颜色和深度摄像机来估计3D面部运动。但是，深度摄像头通常不可用，可能很昂贵，并且需要专门的软件进行控制和数据处理。本文的目的是评估是否需要根据从口肤运动学提取的特征来区分健康对照和PD患者的深度摄像头。结果表明，仅从彩色相机中提取的2D功能与3D特征一样有用，从颜色和深度摄像机中提取，将健康对照与PD患者区分开来。这些结果为开发通用系统的开发铺平了道路，用于自动和客观评估PD中的口面功能。
Orofacial deficits are common in people with Parkinson's disease (PD) and their evolution might represent an important biomarker of disease progression. We are developing an automated system for assessment of orofacial function in PD that can be used in-home or in-clinic and can provide useful and objective clinical information that informs disease management. Our current approach relies on color and depth cameras for the estimation of 3D facial movements. However, depth cameras are not commonly available, might be expensive, and require specialized software for control and data processing. The objective of this paper was to evaluate if depth cameras are needed to differentiate between healthy controls and PD patients based on features extracted from orofacial kinematics. Results indicate that 2D features, extracted from color cameras only, are as informative as 3D features, extracted from color and depth cameras, differentiating healthy controls from PD patients. These results pave the way for the development of a universal system for automatic and objective assessment of orofacial function in PD.
