School of Engineering, Deakin University, Waurn Ponds, 3216, Australia.
Florey Institute of Neuroscience and Mental Health, Parkville, 3052, Australia.
J Neuroeng Rehabil. 2019 Feb 27;16(1):31. doi: 10.1186/s12984-019-0490-3.
Cerebellar damage can often result in disabilities affecting the peripheral regions of the body. These include poor and inaccurate coordination, tremors and irregular movements that often manifest as disorders associated with balance, gait and speech. The severity assessment of Cerebellar ataxia (CA) is determined by expert opinion and is likely to be subjective in nature. This paper investigates automated versions of three commonly used tests: Finger to Nose test (FNT), test for upper limb Dysdiadochokinesia Test (DDK) and Heel to Shin Test (HST), in evaluating disability due to CA.
Limb movements associated with these tests are measured using Inertial Measurement Units (IMU) to capture the disability. Kinematic parameters such as acceleration, velocity and angle are considered in both time and frequency domain in three orthogonal axes to obtain relevant disability related information. The collective dominance in the data distributions of the underlying features were observed though the Principal Component Analysis (PCA). The dominant features were combined to substantiate the correlation with the expert clinical assessments through Linear Discriminant Analysis. Here, the Pearson correlation is used to examine the relationship between the objective assessments and the expert clinical scores while the performance was also verified by means of cross validation.
The experimental results show that acceleration is a major feature in DDK and HST, whereas rotation is the main feature responsible for classification in FNT. Combining the features enhanced the correlations in each domain. The subject data was classified based on the severity information based on expert clinical scores.
For the predominantly translational movement in the upper limb FNT, the rotation captures disability and for the DDK test with predominantly rotational movements, the linear acceleration captures the disability but cannot be extended to the lower limb HST. The orthogonal direction manifestation of ataxia attributed to sensory measurements was determined for each test.
Human Research and Ethics Committee, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia (HREC Reference Number: 11/994H/16).
小脑损伤通常会导致影响身体外周区域的残疾。这些包括协调不良和不准确、震颤和不规则运动,这些运动常常表现为与平衡、步态和言语相关的障碍。小脑共济失调(CA)的严重程度评估由专家意见决定,可能具有主观性。本文研究了三种常用测试的自动化版本:手指触鼻测试(FNT)、上肢运动障碍测试(DDK)和足跟至胫骨测试(HST),以评估 CA 引起的残疾。
使用惯性测量单元(IMU)测量与这些测试相关的肢体运动,以捕捉残疾。在三个正交轴上的时间和频域中考虑运动学参数,如加速度、速度和角度,以获得与残疾相关的相关信息。通过主成分分析(PCA)观察到潜在特征数据分布的集体优势。通过线性判别分析将主要特征结合起来,以证实与专家临床评估的相关性。在这里,皮尔逊相关用于检查客观评估与专家临床评分之间的关系,同时通过交叉验证验证性能。
实验结果表明,加速度是 DDK 和 HST 的主要特征,而旋转是 FNT 中负责分类的主要特征。结合特征增强了每个域中的相关性。根据基于专家临床评分的严重程度信息对受试者数据进行分类。
对于上肢 FNT 中主要的平移运动,旋转捕捉残疾,而对于主要旋转运动的 DDK 测试,线性加速度捕捉残疾,但不能扩展到下肢 HST。确定了每个测试中与感觉测量相关的共济失调的正交方向表现。
澳大利亚东墨尔本皇家维多利亚眼耳医院人类研究和伦理委员会(HREC 参考编号:11/994H/16)。