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帕金森病患者手指敲击试验中的三维模式特征

Three-Dimensional Pattern Features in Finger Tapping Test for Patients with Parkinson's disease.

作者信息

Li Junjie, Zhu Huaiyu, Pan Yun, Wang Haotian, Cen Zhidong, Yang Dehao, Luo Wei

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:3676-3679. doi: 10.1109/EMBC44109.2020.9176652.

Abstract

Finger tapping test is an important neuropsychological test to evaluate human motor function. Most recent researches simplified the finger tapping motion as a scissors-like motion, though the rotation axis of the thumb was different from that of the forefinger. In this paper, we proposed a three-dimensional (3-D) finger tapping measurement system to obtain 3-D pattern features in finger tapping test for patients with Parkinson's disease (PD). The proposed system collected the motion of the thumb and the forefinger by nine-degrees-freedom sensors and calculated 3-D motion of finger tapping by an orientation estimation method and a 3-D finger-tapping kinematic model. We further extracted 3-D pattern features, i.e. motor coordination and relative thumb motion, from 3-D Finger Tapping motion. Moreover, we used the proposed system to collect the finger-tapping motion of 43 PD patients and 30 healthy controls in horizontal tasks and vertical tasks. The results indicated that 3-D pattern features showed a better performance than one-dimensional features in the identification of mild PD patients.Clinical Relevance- These three-dimensional pattern features could be used to evaluate finger tapping motion in a novel way, which could be used to better identify mild Parkinson's disease patients. Furthermore, the results showed that a combination of horizontal tasks and vertical tasks might be a better way to identify mild Parkinson's disease patients.

摘要

手指敲击测试是评估人类运动功能的一项重要神经心理学测试。最近的研究将手指敲击动作简化为类似剪刀的动作,尽管拇指的旋转轴与食指不同。在本文中,我们提出了一种三维(3-D)手指敲击测量系统,以获取帕金森病(PD)患者手指敲击测试中的三维模式特征。所提出的系统通过九自由度传感器收集拇指和食指的运动,并通过方向估计方法和三维手指敲击运动学模型计算手指敲击的三维运动。我们进一步从三维手指敲击运动中提取了三维模式特征,即运动协调性和拇指相对运动。此外,我们使用所提出的系统收集了43名PD患者和30名健康对照在水平任务和垂直任务中的手指敲击运动。结果表明,在识别轻度PD患者方面,三维模式特征比一维特征表现更好。临床相关性——这些三维模式特征可以以一种新的方式用于评估手指敲击运动,这可以更好地识别轻度帕金森病患者。此外,结果表明,水平任务和垂直任务相结合可能是识别轻度帕金森病患者的更好方法。

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