Patient-Tailored Augmented Reality Games for Assessing Upper Extremity Motor Impairments in Parkinson's Disease and Stroke.

Patient-Tailored Augmented Reality Games for Assessing Upper Extremity Motor Impairments in Parkinson's Disease and Stroke.
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DOI:
10.1007/s10916-018-1100-9
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发表时间:
2018-10-30
影响因子:
5.3
通讯作者:
Lukosch SG
Lukosch SG
中科院分区:
医学3区
文献类型:
--
作者:
Bank PJM;Cidota MA;Ouwehand PEW;Lukosch SG

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在临床实践中,上肢运动障碍通常采用疾病特异性、主观评分和低分辨率评分量表进行评估,这些量表通常不考虑日常生活中必不可少的任务和环境的变化。增强现实(AR)系统具有手部和上半身的非接触式跟踪,为在具有挑战性,参与性和患者定制的环境中客观量化运动(天)功能提供了机会。在这项研究中,我们探索了AR的潜力,以评估1)在个体确定的相互作用空间内运动的速度和目标定向性,2)手张开对不同大小物体的适应性,以及3)健康个体(N = 10)和两种高度流行的神经系统疾病(N = 10名帕金森病患者和N = 10名中风患者)的避障能力。我们成功地实现了三个AR游戏来评估运动功能的这些关键方面。正如预期的那样,PD患者的行动速度比对照组慢,需要更多的时间来完成任务。在中风患者和对照组之间没有观察到差异,可能是因为该患者组的运动损伤相对较轻。重要的是,我们的AR系统的可用性很好,与我们之前的研究相比,由于更自然和患者定制的交互,我们的AR系统的可用性大大提高。虽然我们的研究结果证明了AR在评估神经系统疾病患者运动障碍方面的潜力,并为进一步改善提供了起点,但在临床实践中仍有许多步骤需要采取。本文的在线版本(10.1007/s10916-018-1100-9)包含补充材料,仅供授权用户使用。
In clinical practice, upper extremity motor impairments are commonly assessed with disease-specific, subjectively scored and low-resolution rating scales that often do not consider the variations in tasks and environment that are essential aspects of daily life. Augmented reality (AR) systems with contactless tracking of the hand and upper body offer opportunities for objective quantification of motor (dys)function in a challenging, engaging and patient-tailored environment. In this study, we explore the potential of AR for evaluating 1) speed and goal-directedness of movements within the individually determined interaction space, 2) adaptation of hand opening to objects of different sizes, and 3) obstacle avoidance in healthy individuals (N = 10) and two highly prevalent neurological conditions (N = 10 patients with Parkinson’s Disease and N = 10 stroke patients). We successfully implemented three AR games to evaluate these key aspects of motor function. As expected, PD patients moved slower than controls and needed more time for task completion. No differences were observed between stroke patients and controls, perhaps because motor impairments in this patient group were relatively mild. Importantly, usability of our AR system was good and considerably improved compared to our previous study due to more natural and patient-tailored interaction. Although our findings testify to the potential of AR for assessing motor impairments in patients with neurological conditions and provide starting points for further improvement, there are still many steps to be taken towards application in clinical practice. The online version of this article (10.1007/s10916-018-1100-9) contains supplementary material, which is available to authorized users.
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