Automated Assessment of Movement Impairment in Huntington's Disease.
Automated Assessment of Movement Impairment in Huntington's Disease.
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DOI：
10.1109/tnsre.2018.2868170
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发表时间：
2018-10
期刊：
影响因子：
--
通讯作者：
Busse M
中科院分区：
文献类型：
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作者：
Bennasar M;Hicks YA;Clinch SP;Jones P;Holt C;Rosser A;Busse M
定量评估亨廷顿病（HD）的运动障碍对监测疾病进展至关重要。本文旨在开发和验证一种新的低成本，客观的自动化系统，用于评估HD上肢运动障碍，以消除评估者的不一致性，并提供一个更敏感，连续的评估量表。本观察性研究招募了经遗传学证实的HD患者和健康对照。记录人口统计学数据，包括年龄（岁）、性别和统一HD评定量表总运动评分（UHDRS-TMS）。出于本文的目的，根据UHDRS-TMS生成改良的上肢运动障碍评分（mULMS）。所有参与者在每个手腕和胸骨上佩戴三轴加速度计时完成上肢灵活性的简短标准化临床评估。所捕获的加速度数据用于开发用于区分健康和HD参与者的自动分类系统，并自动生成反映运动损伤程度的连续运动损伤评分（MIS）。来自48名健康和44名HD参与者的数据被用来验证开发的系统，该系统在区分健康和HD参与者方面的准确率达到98.78%。自动MIS和临床医生评定的mULMS之间的Pearson相关系数为0.77，p值< 0.01。本文提出的方法证明了自动化的客观，一致的，敏感的评估HD运动障碍的可能性。
Quantitative assessment of movement impairment in Huntington’s disease (HD) is essential to monitoring of disease progression. This paper aimed to develop and validate a novel low cost, objective automated system for the evaluation of upper limb movement impairment in HD in order to eliminate the inconsistency of the assessor and offer a more sensitive, continuous assessment scale. Patients with genetically confirmed HD and healthy controls were recruited to this observational study. Demographic data, including age (years), gender, and unified HD rating scale total motor score (UHDRS-TMS), were recorded. For the purposes of this paper, a modified upper limb motor impairment score (mULMS) was generated from the UHDRS-TMS. All participants completed a brief, standardized clinical assessment of upper limb dexterity while wearing a tri-axial accelerometer on each wrist and on the sternum. The captured acceleration data were used to develop an automatic classification system for discriminating between healthy and HD participants and to automatically generate a continuous movement impairment score (MIS) that reflected the degree of the movement impairment. Data from 48 healthy and 44 HD participants was used to validate the developed system, which achieved 98.78% accuracy in discriminating between healthy and HD participants. The Pearson correlation coefficient between the automatic MIS and the clinician rated mULMS was 0.77 with a p-value < 0.01. The approach presented in this paper demonstrates the possibility of an automated objective, consistent, and sensitive assessment of the HD movement impairment.