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脑性瘫痪患者步态模式的统计分析

Statistical analysis of gait patterns of persons with cerebral palsy.

作者信息

Wong M A, Simon S, Olshen R A

出版信息

Stat Med. 1983 Jul-Sep;2(3):345-54. doi: 10.1002/sim.4780020306.

DOI:10.1002/sim.4780020306
PMID:6648148
Abstract

Patients at Boston's Children's Hospital diagnosed as having cerebral palsy were filmed walking. These films were digitized and translated into measurements associated with leg motion. In this paper we use the gait measurements of 128 such patients to illustrate the the kth nearest neighbour clustering procedure results in a gait typology for patients with cerebral palsy. The procedure identifies four subpopulations from the sample data; the membership of a patient within this typology is mostly determined by the patient's motor control. The developed typology differs from the present diagnostic system which classifies a cerebral palsy patient as either quadriplegic, diaplegic or hemiplegic.

摘要

波士顿儿童医院被诊断患有脑瘫的患者在行走时被拍摄下来。这些影片被数字化,并转化为与腿部运动相关的测量数据。在本文中,我们使用128名此类患者的步态测量数据来说明第k近邻聚类程序如何为脑瘫患者生成一种步态类型学。该程序从样本数据中识别出四个亚群;患者在这种类型学中的归属主要由患者的运动控制决定。所开发的类型学与目前将脑瘫患者分类为四肢瘫痪、双瘫或偏瘫的诊断系统不同。

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