Department of Physical Therapy, Recanati School for Community Health Professions, Faculty of Health Sciences, Ben-Gurion University of the Negev, P.O.B. 653, 84105, Beer-Sheva, Israel.
The Translational Neurorehabilitation Lab at Adi Negev Nahalat Eran, Ofakim, Israel.
J Neuroeng Rehabil. 2021 Oct 26;18(1):155. doi: 10.1186/s12984-021-00950-z.
The lower-extremity motor coordination test (LEMOCOT) is a performance-based measure used to assess motor coordination deficits after stroke. We aimed to automatically quantify performance on the LEMOCOT and to extract additional performance parameters based on error analysis in persons with stroke (PwS) and healthy controls. We also aimed to explore whether these parameters provide additional information regarding motor control deficit that is not captured by the traditional LEMOCOT score. In addition, the associations between the LEMOCOT score, parameters of error and performance-based measures of lower-extremity impairment and gait were tested.
Twenty PwS (age: 62 ± 11.8 years, time after stroke onset: 84 ± 83 days; lower extremity Fugl-Meyer: 30.2 ± 3.7) and 20 healthy controls (age: 42 ± 15.8 years) participated in this cross-sectional exploratory study. Participants were instructed to move their big toe as fast and accurately as possible between targets marked on an electronic mat equipped with force sensors (Zebris FDM-T, 60 Hz). We extracted the contact surface area of each touch, from which the endpoint location, the center of pressure (COP), and the distance between them were computed. In addition, the absolute and variable error were calculated.
PwS touched the targets with greater foot surface and demonstrated a greater distance between the endpoint location and the location of the COP. After controlling for the number of in-target touches, greater absolute and variable errors of the endpoint were observed in the paretic leg than in the non-paretic leg and the legs of controls. Also, the COP variable error differentiated between the paretic, non-paretic, and control legs and this parameter was independent of in-target counts. Negative correlations with moderate effect size were found between the Fugl Meyer assessment and the error parameters.
PwS demonstrated lower performance in all outcome measures than did controls. Several parameters of error indicated differences between legs (paretic leg, non-paretic leg and controls) and were independent of in-target touch counts, suggesting they may reflect motor deficits that are not identified by the traditional LEMOCOT score.
下肢运动协调测试（LEMOCOT）是一种基于表现的测量方法，用于评估中风后的运动协调缺陷。我们的目的是自动量化 LEMOCOT 的表现，并基于中风患者（PwS）和健康对照者的误差分析提取其他表现参数。我们还旨在探讨这些参数是否提供了有关运动控制缺陷的额外信息，而这些信息是传统 LEMOCOT 评分无法捕捉到的。此外，还测试了 LEMOCOT 评分、误差参数与下肢损伤和步态的基于表现的测量值之间的相关性。
20 名 PwS（年龄：62 ± 11.8 岁，中风发病后时间：84 ± 83 天；下肢 Fugl-Meyer 评分：30.2 ± 3.7）和 20 名健康对照者（年龄：42 ± 15.8 岁）参加了这项横断面探索性研究。参与者被要求尽可能快而准确地将大脚趾移动到电子垫上标记的目标之间（配备力传感器的 Zebris FDM-T，60 Hz）。我们从每个触摸中提取接触表面积，从中计算出端点位置、压力中心（COP）和它们之间的距离。此外，还计算了绝对误差和可变误差。
PwS 触摸目标时的足部表面积更大，端点位置与 COP 位置之间的距离也更大。在控制目标内触摸次数后，与非瘫痪侧和对照组相比，瘫痪侧的端点位置的绝对误差和可变误差更大。此外，COP 可变误差可以区分瘫痪侧、非瘫痪侧和对照组的腿，并且该参数独立于目标内触摸次数。Fugl Meyer 评估与误差参数之间存在中度效应大小的负相关。
与对照组相比，PwS 在所有结果测量中表现均较差。几个误差参数表明腿之间存在差异（瘫痪侧腿、非瘫痪侧腿和对照组），且与目标内触摸次数无关，这表明它们可能反映了传统 LEMOCOT 评分无法识别的运动缺陷。
