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Elbow Extension Predicts Motor Impairment and Performance after Stroke

机译:肘部伸展可预测中风后的运动障碍和性能

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Background and Purpose. Kinematic motion analysis has helped to characterize poststroke reaching strategies with the hemiparetic arm. However, the relationships between reaching strategy and performance on common functional outcome measures remain unclear.Methods. Thirty-five participants were tested for motor performance and motor impairment using the Wolf Motor Function Test (time and functional ability measure) and Fugl-Meyer assessment, respectively. Kinematic motion analysis of a forward reaching paradigm provided potential predictors of reaching strategy including shoulder flexion, elbow extension, and trunk displacement. A stepwise linear regression model with three potential predictors was used in addition to Pearson-product moment correlations.Results. Kinematic analysis of elbow extension predicted performance on both the Wolf Motor Function Test and Fugl-Meyer assessment. Shoulder flexion and trunk displacement did not significantly predict functional or reaching time outcomes. The Wolf Motor Function Test and the Fugl-Meyer assessment were highly correlated.Conclusions. The ability to incorporate elbow extension during reach is a significant predictor of motor performance and hemiparetic arm motor capacity after stroke.
机译:背景和目的。运动学运动分析有助于确定偏瘫手臂的中风后到达策略。然而,在通用功能结果指标上达到策略与绩效之间的关系仍然不清楚。分别使用Wolf运动功能测试(时间和功能能力测量)和Fugl-Meyer评估对35名参与者的运动表现和运动障碍进行了测试。向前伸展范例的运动学运动分析提供了可能达到的伸展策略预测指标,包括肩膀弯曲,肘部伸展和躯干移位。除了Pearson乘积矩相关性外,还使用了具有三个潜在预测变量的逐步线性回归模型。沃尔夫运动功能测验和Fugl-Meyer评估对肘部伸展运动的运动学分析预测了性能。肩膀屈曲和躯干移位不能明显预测功能或到达时间的结果。狼运动功能测试和Fugl-Meyer评估高度相关。伸手时合并肘部伸展的能力是中风后运动表现和半肝臂运动能力的重要预测指标。

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