首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Kinematic and Kinetic Patterns Related to Free-Walking in Parkinson’s Disease
【2h】

Kinematic and Kinetic Patterns Related to Free-Walking in Parkinson’s Disease

机译:与帕金森氏病走行有关的运动学和动力学模式

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

The aim of this study is to compare the properties of free-walking at a natural pace between mild Parkinson’s disease (PD) patients during the ON-clinical status and two control groups. In-shoe pressure-sensitive insoles were used to quantify the temporal and force characteristics of a 5-min free-walking in 11 PD patients, in 16 young healthy controls, and in 12 age-matched healthy controls. Inferential statistics analyses were performed on the kinematic and kinetic parameters to compare groups’ performances, whereas feature selection analyses and automatic classification were used to identify the signature of parkinsonian gait and to assess the performance of group classification, respectively. Compared to healthy subjects, the PD patients’ gait pattern presented significant differences in kinematic parameters associated with bilateral coordination but not in kinetics. Specifically, patients showed an increased variability in double support time, greater gait asymmetry and phase deviation, and also poorer phase coordination. Feature selection analyses based on the ReliefF algorithm on the differential parameters in PD patients revealed an effect of the clinical status, especially true in double support time variability and gait asymmetry. Automatic classification of PD patients, young and senior subjects confirmed that kinematic predictors produced a slightly better classification performance than kinetic predictors. Overall, classification accuracy of groups with a linear discriminant model which included the whole set of features (i.e., demographics and parameters extracted from the sensors) was 64.1%.
机译:这项研究的目的是比较处于轻度帕金森氏病(PD)的临床患者在正常状态下与两个对照组之间以自然步伐行走的特性。鞋内压敏鞋垫用于量化11位PD患者,16位年轻健康对照和12位年龄匹配的健康对照中5分钟自由行走的时间和力量特征。对运动学和动力学参数进行推论统计分析以比较各组的表现,而特征选择分析和自动分类分别用于确定帕金森步态的特征并评估各组的表现。与健康受试者相比,PD患者的步态模式在与双侧协调相关的运动学参数上表现出显着差异,但在动力学上没有差异。具体而言,患者的双支持时间变异性增加,步态不对称性和相位偏差更大,相位协调性也更差。基于ReliefF算法对PD患者的差异参数进行的特征选择分析揭示了临床状态的影响,尤其是在双重支持时间变异性和步态不对称性方面。对PD患者,年轻和高级受试者的自动分类证实,运动学预测因子的分类性能比动力学预测因子略好。总体而言,具有线性判别模型的组的分类准确度为64.1%,其中线性判别模型包括整个特征集(即,人口统计信息和从传感器提取的参数)。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号