Accuracy of Markerless 3D Motion Capture Evaluation to Differentiate between On/Off Status in Parkinson's Disease after Deep Brain Stimulation.

Accuracy of Markerless 3D Motion Capture Evaluation to Differentiate between On/Off Status in Parkinson's Disease after Deep Brain Stimulation.
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DOI:
10.1155/2018/5830364
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发表时间:
2018
期刊:
Parkinson's disease
影响因子:
--
通讯作者:
Guerrero-González ML
Guerrero-González ML
中科院分区:
其他
文献类型:
--
作者:
Martinez HR;Garcia-Sarreon A;Camara-Lemarroy C;Salazar F;Guerrero-González ML

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无标记系统的身体运动评估(BME)越来越被认为是传统基于标记技术的替代方案,因为它们更快、更简单、更便宜。它们越来越多地用于运动障碍患者的临床环境;然而,各种各样的可用系统使得结果相互矛盾。本研究的目的是确定无标记的3D运动捕捉系统是否是客观区分DBS处于开、关状态和控制状态的PD患者的有用工具,以及它与MDS-UPDRS评估的相关性。采用BME和统一帕金森病评定量表(UPDRS-III)对6例接受双侧丘脑底核深部脑刺激(DBS)的PD患者进行评估,并分别打开和关闭DBS。比较6名对照者16种不同运动的BME,按年龄和性别配对,PD患者DBS在On和Off状态下的BME。较好的BME表现与较低的UPDRS-III评分相关。DBS Off和On状态的患者在BME方面无统计学差异。然而,在左肩屈曲(p=0.038)、右肩旋转(p=0.011)和左躯干旋转(p=0.023)等项目上,Off患者与健康对照组存在差异。通过这种无标记系统获得的运动学数据有助于区分PD患者和健康对照。这一新兴技术可能有助于临床更客观地评估PD患者。
Body motion evaluation (BME) by markerless systems is increasingly being considered as an alternative to traditional marker-based technology because they are faster, simpler, and less expensive. They are increasingly used in clinical settings in patients with movement disorders; however, the wide variety of systems available makes results conflicting. The objective of this study was to determine whether a markerless 3D motion capture system is a useful instrument to objectively differentiate between PD patients with DBS in On and Off states and controls and its correlation with the evaluation by means of MDS-UPDRS. Six PD patients who underwent deep brain stimulation (DBS) bilaterally in the subthalamic nucleus were evaluated using BME and the Unified Parkinson's Disease Rating Scale (UPDRS-III) with DBS turned On and Off. BME of 16 different movements in six controls paired by age and sex was compared with that in PD patients with DBS in On and Off states. A better performance in the BME was correlated with a lower UPDRS-III score. There was no statistically significant difference between patients in Off and On states of DBS regarding BME. However, some items such as left shoulder flexion (p=0.038), right shoulder rotation (p=0.011), and left trunk rotation (p=0.023) were different between Off patients and healthy controls. Kinematic data obtained with this markerless system could contribute to discriminate between PD patients and healthy controls. This emerging technology may help to clinically evaluate PD patients more objectively.
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