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用于神经功能障碍患者运动评估的伸手能力量表的Kinect V2实现与测试

Kinect V2 implementation and testing of the reaching performance scale for motor evaluation of patients with neurological impairment.

作者信息

Scano Alessandro, Chiavenna Andrea, Malosio Matteo, Molinari Tosatti Lorenzo, Molteni Franco

机构信息

Institute of Industrial Technologies and Automation (ITIA), Italian National Research Council (CNR), Via Corti 12, 20133 Milan, Italy.

Rehabilitation Presidium of Valduce Hospital Villa Beretta, Via Nazario Sauro 17, Costa Masnaga (Lecco), Italy.

出版信息

Med Eng Phys. 2018 Jun;56:54-58. doi: 10.1016/j.medengphy.2018.04.005. Epub 2018 Apr 20.

Abstract

Automated procedures for neurological patients' motor evaluation may take advantage of the coupling between clinical scales and motion tracking devices to provide affordable, quantified and reliable assessment to be used in clinics, in surgeries and domestic environment. In this study, 20 post-stroke patients performed frontal reaching movements with their more affected limb, and a physician administered the Reaching Performance Scale (RPS) to assess motor functionality. At the same time, patients' kinematics were recorded with the Kinect V2 sensor. An automated algorithm was developed to compute the RPS based on Kinect V2 tracking data, and visual and Kinect V2 RPS scores were compared. Results showed very high statistical correlation between the automated procedure and the visual administration (Pearson Correlation Coefficient: R = 0.90, p < 0.001). While the number of patients is limited, the automated RPS seems to be successfully applicable to different levels of impairment, from mild to severe.

摘要

用于神经科患者运动评估的自动化程序可利用临床量表与运动跟踪设备之间的耦合,以提供经济实惠、量化且可靠的评估,用于临床、手术和家庭环境。在本研究中,20名中风后患者用其受影响更严重的肢体进行额部伸展运动,一名医生使用伸展运动表现量表(RPS)来评估运动功能。与此同时,使用Kinect V2传感器记录患者的运动学数据。开发了一种基于Kinect V2跟踪数据计算RPS的自动化算法,并比较了视觉评分和Kinect V2 RPS评分。结果显示自动化程序与视觉评估之间具有非常高的统计相关性(皮尔逊相关系数:R = 0.90,p < 0.001)。虽然患者数量有限,但自动化RPS似乎可成功应用于从轻度到重度的不同损伤水平。

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