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PREDICTION OF MUSCLE FORCES AND JOINT MOMENTS IN STROKE PATIENTS USING AN EMG-DRIVEN MODEL

机译:利用EMG驱动模型预测脑卒中患者肌肉力和联合时刻

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Abnormal kinematic and kinetic patterns are associated with disability following stroke. The estimation of internal forces and moments during movements is important for developing better rehabilitation regimens for this population. In this study, we used an EMG-driven model to estimate muscle forces and joint moments for stroke patients, and analyzed the kinetics of these patients. Although such models have been used in healthy people, this is the first study to model post-stroke patients.
机译:异常运动和动力学模式与行程后的残疾有关。估计运动期间的内部力和时刻对于为这一人口制定更好的康复方案是重要的。在这项研究中,我们使用EMG驱动模型来估计脑卒中患者的肌肉力和联合时刻,并分析了这些患者的动力学。虽然这些模型已用于健康的人,但这是第一次研究卒中后患者的研究。

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