MotorBrain: A mobile app for the assessment of users' motor performance in neurology
MotorBrain: A mobile app for the assessment of users' motor performance in neurology
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MotorBrain：一款用于评估用户神经病学运动表现的移动应用程序
DOI：
10.1016/j.cmpb.2017.02.012
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发表时间：
2017
影响因子：
6.1
通讯作者：
R. Budai
中科院分区：
文献类型：
--
作者：
Andrea Vianello;L. Chittaro;Stefano Burigat;R. Budai
人类运动技能或损伤传统上由神经科医生通过纸笔测试或特殊硬件进行评估。最近，数字化平板电脑和触摸屏等技术为神经科医生提供了新的评估可能性，但它们的使用仅限于特定的医疗条件，或手写笔操作的移动的设备。本文件的目的有两个。首先，我们提出了一个移动的应用程序（MotorBrain），它提供了六种传统运动测试的计算机化版本，可以由患者直接使用（有或没有临床医生的监督），旨在将数百万的智能手机和平板电脑转化为数据收集和评估工具。然后，我们进行了一项研究，以确定是否可以通过MotorBrain收集的数据是有意义的描述老化在人类motor performance.MethodsA样本的健康参与者（N = 133）进行了运动测试，使用MotorBrain的智能手机。参与者根据年龄分为两组（年轻，老年）（分别小于或等于30岁，大于或等于50岁）。该应用程序收集的数据表征了准确性，反应时间和移动速度。它进行了分析，以调查两组之间的差异。ResultsThe应用程序允许测量神经运动性能的差异。该应用程序收集的数据使我们能够评估由于神经肌肉系统老化而导致的性能差异。结论通过MotorBrain收集的数据适合对不同类型的性能进行有意义的区分，并使我们能够强调与衰老相关的性能差异。MotorBrain支持建立一个大型的神经运动数据数据库，可用于临床使用的规范目的。
Background and ObjectiveHuman motor skills or impairments have been traditionally assessed by neurologists by means of paper-and-pencil tests or special hardware. More recently, technologies such as digitizing tablets and touchscreens have offered neurologists new assessment possibilities, but their use has been restricted to a specific medical condition, or to stylus-operated mobile devices. The objective of this paper is twofold. First, we propose a mobile app (MotorBrain) that offers six computerized versions of traditional motor tests, can be used directly by patients (with and without the supervision of a clinician), and aims at turning millions of smartphones and tablets available to the general public into data collection and assessment tools. Then, we carry out a study to determine whether the data collected by MotorBrain can be meaningful for describing aging in human motor performance.MethodsA sample of healthy participants (N = 133) carried out the motor tests using MotorBrain on a smartphone. Participants were split into two groups (Young, Old) based on their age (less than or equal to 30 years, greater than or equal to 50 years, respectively). The data collected by the app characterizes accuracy, reaction times, and speed of movement. It was analyzed to investigate differences between the two groups.ResultsThe app does allow measuring differences in neuromotor performance. Data collected by the app allowed us to assess performance differences due to the aging of the neuromuscular system.ConclusionsData collected through MotorBrain is suitable to make meaningful distinctions among different kinds of performance, and allowed us to highlight performance differences associated to aging. MotorBrain supports the building of a large database of neuromotor data, which can be used for normative purposes in clinical use.
影响因子：
1.8
作者：
Olafsdottir, Halla;Yoshida, Naoki;Latash, Mark L.
通讯作者：
Latash, Mark L.