Dordević Olivera, Popović Mirjana B, Kostić Vladimir
Clinic of Rehabilitation, Dr. Miroslav Zotović, Belgrade.
Srp Arh Celok Lek. 2005 Jan-Feb;133(1-2):14-20.
In clinical setting, the symptoms of the impaired motor behavior in patients with different neurological diseases are identified by classical tests incorporated in clinical neurological examination. New computerized methods for objective motor assessment have been recently suggested in the literature. We developed computerized method for assessment and evaluation of arm movement in patients with Parkinson's disease (PD) in early phase and in patients with cerebellar syndrome. Method is based on automatic acquisition of hand coordinates during drawing of line and circle, and off-line analysis of kinematic parameters (time duration, path length, mean and maximal velocity, velocity profile, and precision). Clinical application is in recognition and follow-up of the impaired kinematic parameters, specific for these two groups of patients.
We propose computerized method that consists of two motor tasks: Task 1- drawing a line defined with end points; and Task 2 - drawing a circle defined by referential model. The first task was rather simple with defined direction, and the second included continuous change of the direction that required permanent adjustment. The aim was to detect which kinematic parameters were particularly different in PD and in patients with cerebellar syndrome in relation to healthy controls, and then to apply this method as an additional instrument in clinical evaluation.
Hand trajectories were assessed during simple self-paced 1) point-to-point movement-Task 1; and 2) circle-Task 2, by cordless magnetic mouse in a hand on digitizing board (Drawing board 111, 305 x 457 mm, GTCO Cal Comp Inc). The subjects were seated in a relaxed manner on the chair adjusted to the table height, and instructed not to correct drawn line during performance of a task. The first session was for practicing the tests only, and in the next session, the subjects repeated 5 times each task. All sessions were videotaped with CCD camera. Testing included three groups: 10 Parkinsonian patients, 8 patients with cerebellar syndrome and 10 healthy controls, age matched, with not known neurologic motor or sensory disorders. Data were obtained using custom-made software written in C++, and stored in computer for further analysis. Data were analyzed using the Excel (ver. 9.0) and MatLab (ver. 6.0). The following kinematic parameters were calculated: time duration, path length, mean and maximal velocity, velocity profile and precision, and then statistically processed. Generalized linear model was formed in SPSS 10.0.
The data from all subjects and from all trials for two tasks were first visually inspected. In the first task, PD patients significantly differed in relation to controls in the following parameters: mean and maximal velocity, while in the second task, time duration and mean velocity were significantly different. For patients with cerebellar syndrome in relation to controls, mean and maximal velocity, and path length were significantly different for the first task, while in the second task, path length. For the task to draw a line, both groups of patients had statistically smaller mean and maximal velocities in respect to controls, and for the drawing of a circle, none parameter was at the same time statistically different for both groups in regard to controls. Between the two groups of patients, the only statistically different kinematic parameter was the length of drawn line. The velocity profile for the same task was shown as characteristic for the three groups.
Identifying the abnormal kinetic parameters of hand movement as well as their correlation with classical clinical signs could be highly important in the process of patient's motor control status evaluation, and could enable better understanding of the course and prognosis of specific pathological entity.
在临床环境中,不同神经疾病患者运动行为受损的症状通过临床神经学检查中的经典测试来识别。文献中最近提出了用于客观运动评估的新计算机化方法。我们开发了一种计算机化方法,用于评估和评价早期帕金森病(PD)患者和小脑综合征患者的手臂运动。该方法基于在绘制直线和圆圈过程中自动获取手部坐标,并对运动学参数(持续时间、路径长度、平均速度和最大速度、速度曲线以及精度)进行离线分析。临床应用在于识别和跟踪这两组患者特有的受损运动学参数。
我们提出一种计算机化方法,该方法由两项运动任务组成:任务1 - 绘制由端点定义的直线;任务2 - 绘制由参考模型定义的圆圈。第一项任务方向明确,相对简单,第二项任务包括方向的持续变化,需要不断调整。目的是检测PD患者和小脑综合征患者相对于健康对照在哪些运动学参数上存在特别差异,然后将此方法作为临床评估的辅助工具应用。
在简单的自定节奏下评估手部轨迹,1)点对点运动 - 任务1;2)圆圈 - 任务2,使用无绳磁性鼠标在数字化板(绘图板111,305×457毫米,GTCO Cal Comp公司)上进行。受试者以放松的姿势坐在根据桌子高度调整好的椅子上,并被指示在执行任务过程中不要修正绘制的线条。第一次会话仅用于练习测试,在下一次会话中,受试者对每个任务重复5次。所有会话都用CCD摄像机录像。测试包括三组:10名帕金森病患者、8名小脑综合征患者和10名年龄匹配的健康对照,他们均无已知的神经运动或感觉障碍。数据使用用C++编写的定制软件获取,并存储在计算机中以供进一步分析。数据使用Excel(9.0版)和MatLab(6.0版)进行分析。计算以下运动学参数:持续时间、路径长度、平均速度和最大速度、速度曲线以及精度,然后进行统计处理。在SPSS 10.0中形成广义线性模型。
首先对所有受试者在两项任务的所有试验中的数据进行视觉检查。在第一项任务中,PD患者与对照相比在以下参数上有显著差异:平均速度和最大速度,而在第二项任务中,持续时间和平均速度有显著差异。对于小脑综合征患者与对照相比,在第一项任务中平均速度、最大速度和路径长度有显著差异,而在第二项任务中是路径长度有显著差异。对于绘制直线的任务,两组患者相对于对照在平均速度和最大速度上在统计学上均较小,对于绘制圆圈的任务,两组在任何参数上相对于对照同时在统计学上均无差异。在两组患者之间,唯一在统计学上有差异的运动学参数是绘制线条的长度。同一任务的速度曲线显示出三组的特征。
识别手部运动的异常动力学参数及其与经典临床体征的相关性在评估患者运动控制状态的过程中可能非常重要,并且能够更好地理解特定病理实体的病程和预后。