Background

Shoulder assessment in rehabilitation is focused on kinematic properties due to the variability of symptomatology and clinical expression of shoulder injuries.

Aim

To perform a receiver operating characteristic analysis of the kinematic variables involved in the functional mobility of the shoulder that allow the identification of discriminating variables between healthy and diseased shoulders during scaption motion.

Method

Analytical cross-sectional study of diagnostic effectiveness was performed in 27 subjects suffering from shoulder damage and 14 asymptomatic controls. Scaption kinematics were evaluated using four inertial sensors placed on the humerus, scapula, forearm and sternum. Three variables (mobility, velocity and acceleration) were obtained from each sensor and the norm of the resultant vector was calculated from each axis. A discriminatory receiver operating characteristic analysis was performed, obtaining the area under the curve, sensitivity and specificity.

Findings

Significant differences from both the resultant vectors and the axis depended on the body segment analysed were observed. Greater movement velocity and acceleration were observed in the asymptomatic group. Receiver operating characteristic analysis, scapular protraction-retraction mobility distinguished with a diagnostic sensitivity of 83.3% and specificity of 90.9% between asymptomatic and shoulder-damaged patients. These diagnosis values were 83.3% and 72.7% for scapular anterior-posterior velocity. Scapular kinematics, in terms of mobility and velocity, are the key variables in shoulder assessment.

Interpretation

This study discriminated between patients suffering from shoulder damage and asymptomatic subjects based on shoulder kinematics during scaption motion. Scapular mobility and velocity were found to be key variables in shoulder assessment, along with the humerus.

中文翻译：

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辨别运动的健康与受损肩膀之间惯性传感器的精度：横断面研究

背景

由于症状的变化和肩部受伤的临床表现，康复中的肩部评估侧重于运动学特性。

目标

为了执行与肩部功能活动性有关的运动学变量的接收器工作特性分析，从而可以确定在进行脱片运动期间健康肩部和患病肩部之间的区别变量。

方法

对27名患有肩部损伤和14名无症状对照的受试者进行了诊断有效性的分析性横断面研究。使用放置在肱骨，肩cap骨，前臂和胸骨上的四个惯性传感器评估了头颅运动学。从每个传感器获得三个变量（运动性，速度和加速度），并从每个轴计算所得向量的范数。进行区分性接收器工作特性分析，获得曲线下的面积，灵敏度和特异性。

发现

观察到与所得向量和轴均存在显着差异，这取决于所分析的身体部位。在无症状组中观察到较大的运动速度和加速度。接受者操作特征分析，肩cap后退伸缩性出色，无症状和肩部损伤患者的诊断敏感性为83.3％，特异性为90.9％。肩cap骨前后速度的这些诊断值分别为83.3％和72.7％。肩cap运动学在活动性和速度方面是肩部评估的关键变量。

解释

这项研究根据头转向运动中的肩膀运动学来区分遭受肩膀损伤的患者和无症状的受试者。肩cap骨活动度和速度与肱骨一样，是肩部评估中的关键变量。