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Análisis del Gesto de Alcanzar y Agarrar un Objeto en Pacientes con ACV

机译:CVA患者接近和抓住物体的手势分析

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The ge sture of re aching and gr asping r equires the inte gration of the trunk, arms and hand movements in a smooth motion. The execution of these movements is modified in patients with spastic hemipa resis. In this work we make a dynamic analy sis of the uppe r limb of this ge sture in pe ople who suffered a stroke . Most of the work on the gesture does not have information on ne t muse le moments and pow ers, which are important for make a more accurate analysis of the movement. From this analysis we can identify abnormalities in the gesture. This paper models the upper limb and e valuating the angles, forces, net moments and ne t muscle power during the gesture of reaching and gras ping in patients and a c ontrol subjects group. This model may be useful in rehabilitation programs for patients with disabilities in the upper limb, such as stroke. Furthermore, the complementary use of these models will allow more effectively estimate the pro blem to try and quantify the d egree of injur y in te rms of motor skills. F or example you could program rehabilitation routines considers the dynamic information of muscle activity during a standard gesture of daily living such as reaching and grasping.
机译:抓地和抓地的姿势使行李箱,手臂和手部动作的整合变得平稳。这些运动的执行在痉挛性半mi抵抗患者中得到改善。在这项工作中,我们对患有中风的人的这种姿势的上肢进行了动态分析。有关手势的大部分工作都没有关于瞬时力矩和功率的信息,这对于更准确地分析运动非常重要。通过此分析,我们可以识别手势异常。本文对上肢进行建模,并评估患者和控制对象组在伸手和抓握手势过程中的角度,力量,净力矩和净肌力。该模型在上肢残疾(例如中风)患者的康复计划中可能有用。此外,这些模型的互补使用将允许更有效地估计问题,以尝试量化运动技能方面的伤害程度。例如,您可以为康复程序编写程序的示例考虑了在标准的日常手势(例如伸手和抓地力)过程中肌肉活动的动态信息。

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