首页> 外文会议>Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE >An artifical feedback model of the leg drop pendulum test: implications for studying and evaluating spastic cerebral palsy
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An artifical feedback model of the leg drop pendulum test: implications for studying and evaluating spastic cerebral palsy

机译:跌倒摆测试的人工反馈模型:对研究和评估痉挛性脑瘫的意义

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Reports on ongoing work in the modeling of the leg drop pendulum test as a means of assessment in spastic cerebral palsy. In previous papers it was demonstrated that a passive model is not adequate for modeling the limb of a subject with spastic cerebral palsy. Succeeding papers showed that the addition of a set of velocity feedback loops, around a passive plant, could accurately represent both normal and spastic limbs. This paper uses that model to document changes in spasticity after a simple clinical intervention. The intervention consists of 15 minutes of reciprocal vertical motion. By optimizing feedback parameters so that model data fits actual limb position data changes in the gains of the model's feedback loops are demonstrated. These gain changes are suggestive of an additional mechanism for spasticity beyond the hypersensitive stretch reflex. It will be argued that the model represents a possible means of evaluating clinical change as well as fertile ground for further study.
机译:关于正在进行的腿下垂摆测试建模的报告,该测试是评估痉挛性脑瘫的一种手段。在先前的论文中,已经证明被动模型不足以对患有痉挛性脑瘫的受试者的肢体建模。随后的论文表明,在被动植物周围添加一组速度反馈回路可以准确地代表正常肢体和痉挛肢体。本文使用该模型来记录简单的临床干预后痉挛的变化。干预包括15分钟的往复垂直运动。通过优化反馈参数,使模型数据适合实际肢体位置数据,从而演示了模型反馈环的增益变化。这些增益变化暗示了超敏性拉伸反射以外的其他痉挛机制。有人认为,该模型代表了评估临床变化的可能手段,也是进一步研究的沃土。

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