Background

Early Onset Ataxia (EOA) and Developmental Coordination Disorder (DCD) share several phenotypical characteristics, which can be clinically hard to distinguish.

Aim

To combine quantified movement information from three tests obtained from inertial measurements units (IMUs), to improve the classification of EOA and DCD patients and healthy controls compared to using a single test.

Methods

Using IMUs attached to the upper limbs, we collected data from EOA, DCD and healthy control children while they performed the three upper limb tests (finger to nose, finger chasing and fast alternating movements) from the Scale for the Assessment and Rating of Ataxia (SARA) test. The most relevant features for classification were extracted. A random forest classifier with 300 trees was used for classification. The area under the receiver operating curve (ROC-AUC) and precision-recall plots were used for classification performance assessment.

Results

The most relevant discerning features concerned smoothness and velocity of movements. Classification accuracy on group level was 85.6% for EOA, 63.5% for DCD and 91.2% for healthy control children. In comparison, using only the finger to nose test for classification 73.7% of EOA and 53.4% of DCD patients and 87.2% of healthy controls were accurately classified. For the ROC/precision recall plots the AUC was 0.96/0.89 for EOA, 0.92/0.81 for DCD and 0.97/0.94 for healthy control children.

Discussion

Using quantified movement information from all three SARA-kinetic upper limb tests improved the classification of all diagnostic groups, and in particular of the DCD group compared to using only the finger to nose test.

中文翻译：

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结合来自三个上肢 SARA 测试的信息，对早发性共济失调或发育协调障碍患者和健康对照儿童进行仪器分类

背景

早发性共济失调 (EOA) 和发育协调障碍 (DCD) 有几个共同的表型特征，临床上难以区分。

目标

结合从惯性测量单元 (IMU) 获得的三个测试的量化运动信息，与使用单个测试相比，改进 EOA 和 DCD 患者和健康对照的分类。

方法

使用附着在上肢的 IMU，我们收集了来自 EOA、DCD 和健康对照儿童的数据，同时他们根据共济失调评估和评定量表进行了三项上肢测试（手指到鼻子、手指追逐和快速交替运动）。 SARA) 测试。提取了与分类最相关的特征。使用具有 300 棵树的随机森林分类器进行分类。接受者操作曲线下面积（ROC-AUC）和精确回忆图用于分类性能评估。

结果

最相关的辨别特征涉及运动的平滑度和速度。EOA 的组级分类准确率为 85.6%，DCD 为 63.5%，健康对照儿童为 91.2%。相比之下，仅使用指鼻试验进行分类，EOA 的 73.7% 和 DCD 患者的 53.4% 和健康对照的 87.2% 被准确分类。对于 ROC/精确召回图，EOA 的 AUC 为 0.96/0.89，DCD 为 0.92/0.81，健康对照儿童为 0.97/0.94。

讨论

与仅使用手指到鼻子测试相比，使用来自所有三个 SARA 动力学上肢测试的量化运动信息改进了所有诊断组的分类，特别是 DCD 组的分类。