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在临床环境中量化痉挛状态。

Quantifying spasticity in a clinical setting.

作者信息

Norris James A, Cabrera M Normann, Smith Thomas L, Reeves Susan H, Koman L Andrew

机构信息

School of Biomedical Engineering & Sciences, Wake Forest-Virginia Tech, Winston-Salem, NC 27157-1022, USA.

出版信息

Biomed Sci Instrum. 2007;43:284-9.

Abstract

We describe a technique specifically designed for use in a clinical setting to quantify the spastic reflex response. Spasticity, which manifests as a hyperactive stretch reflex response, is the major component of cerebral palsy (CP) that interferes with normal function. Clinically, a patient's spasticity is monitored and subjectively graded by an examiner while moving the joint throughout its range of motion. Grading of the abnormal resistance is classified by clinical scales. The subjective clinical scales, however, tend to have poor inter-rater reliability and often poor correlation with functional improvements. Although objective measures of spasticity exist, their use has been limited to research laboratories, they have not been applied to the CP population, and their usefulness is determined by their correlation with subjective clinical measures. We describe a technique to quantify spasticity in a clinical setting. This technique, termed CATCH (Computer Assisted Technique to Characterize Hypertonia) integrates measurement of joint kinematics and muscle electromyography to quantify the spastic reflex response in CP. Three clinical cases are presented. These preliminary examples from the clinic suggest that this technique provides an improved method to monitor spasticity.

摘要

我们描述了一种专门设计用于临床环境中量化痉挛反射反应的技术。痉挛表现为过度活跃的牵张反射反应,是干扰正常功能的脑瘫(CP)的主要组成部分。临床上,在检查者使关节在其整个运动范围内移动时,对患者的痉挛进行监测并由检查者进行主观分级。异常阻力的分级通过临床量表进行分类。然而,主观临床量表往往具有较差的评分者间可靠性,并且通常与功能改善的相关性较差。尽管存在痉挛的客观测量方法,但它们的使用仅限于研究实验室,尚未应用于脑瘫患者群体,并且它们的有用性取决于与主观临床测量的相关性。我们描述了一种在临床环境中量化痉挛的技术。这种技术称为CATCH(计算机辅助高张力特征化技术),它整合了关节运动学和肌肉肌电图的测量,以量化脑瘫患者的痉挛反射反应。本文展示了三个临床病例。这些来自临床的初步例子表明,该技术为监测痉挛提供了一种改进的方法。

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