Schwarz Anne, Veerbeek Janne M, Held Jeremia P O, Buurke Jaap H, Luft Andreas R
Vascular Neurology and Neurorehabilitation, Department of Neurology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Biomedical Signals and Systems (BSS), University of Twente, Enschede, Netherlands.
Front Bioeng Biotechnol. 2021 Jan 28;8:620805. doi: 10.3389/fbioe.2020.620805. eCollection 2020.
Deficits in interjoint coordination, such as the inability to move out of synergy, are frequent symptoms in stroke subjects with upper limb impairments that hinder them from regaining normal motor function. Kinematic measurements allow a fine-grained assessment of movement pathologies, thereby complementing clinical scales, like the Fugl-Meyer Motor Assessment of the Upper Extremity (FMMA-UE). The study goal was to investigate the effects of the performed task, the tested arm, the dominant affected hand, upper limb function, and age on spatiotemporal parameters of the elbow, shoulder, and trunk. The construct validity of the metrics was examined by relating them with each other, the FMMA-UE, and its arm section. This is a cross-sectional observational study including chronic stroke patients with mild to moderate upper limb motor impairment. Kinematic measurements were taken using a wearable sensor suit while performing four movements with both upper limbs: (1) isolated shoulder flexion, (2) pointing, (3) reach-to-grasp a glass, and (4) key insertion. The kinematic parameters included the joint ranges of shoulder abduction/adduction, shoulder flexion/extension, and elbow flexion/extension; trunk displacement; shoulder-elbow correlation coefficient; median slope; and curve efficiency. The effects of the task and tested arm on the metrics were investigated using a mixed-model analysis. The validity of metrics compared to clinically measured interjoint coordination (FMMA-UE) was done by correlation analysis. Twenty-six subjects were included in the analysis. The movement task and tested arm showed significant effects ( < 0.05) on all kinematic parameters. Hand dominance resulted in significant effects on shoulder flexion/extension and curve efficiency. The level of upper limb function showed influences on curve efficiency and the factor age on median slope. Relations with the FMMA-UE revealed the strongest and significant correlation for curve efficiency ( = 0.75), followed by shoulder flexion/extension ( = 0.68), elbow flexion/extension ( = 0.53), and shoulder abduction/adduction ( = 0.49). Curve efficiency additionally correlated significantly with the arm subsection, focusing on synergistic control ( = 0.59). The kinematic parameters of the upper limb after stroke were influenced largely by the task. These results underpin the necessity to assess different relevant functional movements close to real-world conditions rather than relying solely on clinical measures. : clinicaltrials.gov, identifier NCT03135093 and BASEC-ID 2016-02075.
关节间协调障碍,例如无法摆脱协同运动模式,是上肢功能受损的中风患者常见的症状,这阻碍了他们恢复正常运动功能。运动学测量能够对运动病理学进行精细评估,从而补充临床量表,如上肢Fugl-Meyer运动评估量表(FMMA-UE)。本研究的目的是调查所执行的任务、测试的手臂、优势受影响手、上肢功能和年龄对肘部、肩部和躯干时空参数的影响。通过将这些指标相互关联、与FMMA-UE及其手臂部分进行关联,来检验这些指标的结构效度。这是一项横断面观察性研究,纳入了轻度至中度上肢运动障碍的慢性中风患者。在患者使用可穿戴传感器套装进行双侧上肢的四项运动时进行运动学测量:(1)孤立的肩部前屈;(2)指物;(3)伸手去抓杯子;(4)插入钥匙。运动学参数包括肩关节外展/内收、肩关节前屈/后伸和肘关节屈曲/伸展的关节活动范围;躯干位移;肩肘相关系数;中位斜率;以及曲线效率。使用混合模型分析研究任务和测试手臂对这些指标的影响。通过相关性分析来检验与临床测量的关节间协调(FMMA-UE)相比,这些指标的效度。分析纳入了26名受试者。运动任务和测试手臂对所有运动学参数均有显著影响(P<0.05)。手的优势对肩关节前屈/后伸和曲线效率有显著影响。上肢功能水平对曲线效率有影响,年龄因素对中位斜率有影响。与FMMA-UE的相关性分析显示,曲线效率的相关性最强且显著(r = 0.75),其次是肩关节前屈/后伸(r = 0.68)、肘关节屈曲/伸展(r = 0.53)和肩关节外展/内收(r = 0.49)。曲线效率还与侧重于协同控制的手臂子部分显著相关(r = 0.59)。中风后上肢的运动学参数在很大程度上受任务影响。这些结果强调了在接近实际情况的条件下评估不同相关功能运动的必要性,而不是仅仅依赖临床测量。试验注册编号:clinicaltrials.gov,标识符NCT03135093和BASEC-ID 2016-02075。