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手工任务跟踪应用于认知康复。

Handmade task tracking applied to cognitive rehabilitation.

机构信息

Centre for Automation and Robotics CAR, UPM-CSIC, Universidad Politécnica de Madrid, José Gutiérrez Abascal 2, 28006 Madrid, Spain.

出版信息

Sensors (Basel). 2012 Oct 22;12(10):14214-31. doi: 10.3390/s121014214.

Abstract

This article presents research focused on tracking manual tasks that are applied in cognitive rehabilitation so as to analyze the movements of patients who suffer from Apraxia and Action Disorganization Syndrome (AADS). This kind of patients find executing Activities of Daily Living (ADL) too difficult due to the loss of memory and capacity to carry out sequential tasks or the impossibility of associating different objects with their functions. This contribution is developed from the work of Universidad Politécnica de Madrid and Technical University of Munich in collaboration with The University of Birmingham. The KinectTM for Windows© device is used for this purpose. The data collected is compared to an ultrasonic motion capture system. The results indicate a moderate to strong correlation between signals. They also verify that KinectTM is very suitable and inexpensive. Moreover, it turns out to be a motion-capture system quite easy to implement for kinematics analysis in ADL.

摘要

本文提出了一项专注于跟踪认知康复中应用的手动任务的研究,以分析患有失用症和动作组织障碍综合征(AADS)的患者的运动情况。由于记忆丧失和执行顺序任务的能力,或者将不同物体与其功能相关联的能力丧失,这些患者发现执行日常生活活动(ADL)非常困难。这项贡献是由马德里理工大学和慕尼黑工业大学与伯明翰大学合作完成的。为此,使用了 KinectTM for Windows©设备。为此目的,收集的数据与超声运动捕捉系统进行了比较。结果表明信号之间存在中等至强相关性。它们还验证了 KinectTM 非常适合且价格低廉。此外,事实证明,它是一种非常适合用于 ADL 运动学分析的运动捕捉系统,易于实现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd24/3545616/4d1e3d254629/sensors-12-14214f1.jpg

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