首页> 外文会议>Iranian Conference on Biomedical Engineering >Speed influences on complicated kinetic, kinematic and electromyographic gait data of lower extremities among healthy subjects
【24h】

Speed influences on complicated kinetic, kinematic and electromyographic gait data of lower extremities among healthy subjects

机译:健康受试者中下肢复杂动力学,运动学和电拍摄数据的速度影响

获取原文

摘要

Previous studies suggested that increasing speed has an effect on human walking features such as joints and muscles range of motion, related spatio-temporal parameters and muscles activation patterns. However, such an effect on more complicated indices e.g. muscle synergies, minimum angular jerk and cross correlation between different types of biomechanical gait data has not been studied in large number of healthy subjects. We investigated the effect of walking speed changes on such criteria. Thirty-two healthy subjects (aged 6-72 y, 59% female) participated in this study. Kinetic, kinematic and electromyographic (EMG) data (muscles: tibialis anterior, soleus, gastrocnemius medialis, peroneus longus, rectus femoris, vastus medialis, biceps femoris and gluteus maximus) were recorded during over ground walking at five following walking speed categories as: very slow, slow, medium, fast and very fast. The results showed a significant correlation between investigated indices and gait speed (p <; 0.05), among which cadence (r = 0.749) and synergy coordination index (r = -0.463) had the highest and lowest correlation. It could be concluded that speed plays an important role in gait characteristics. It could change central nerves system commands, decrease walking smoothness and lower limb contributions. Consequently, most probably there is a relationship between the proposed indices and other speed dependent features like walking dynamic stability requiring long-term data recording. However, long-term gait data is needed for final assessment.
机译:以前的研究表明,速度增加对人行道特征,如关节和肌肉的运动范围,相关的时空参数和肌肉激活模式。然而,对更复杂的指标进行这样的效果。肌肉协同效应,不同类型的生物力学步态数据之间的最小角振动和交叉相关性尚未在大量的健康受试者中进行。我们调查了步行速度变化对此类标准的影响。本研究参加了三十二个健康科目(年龄6-72岁,59%的女性)。动力学,运动学和肌肉电拍照(EMG)数据(肌肉:胫骨前,Soleus,Gastrocnemius Medialis,Peroneussongus,蠕虫雌性,Zeastus medialis,Beictus MediaLis,Beiceps Maximus和Maximus)在走路之后的5个行走速度类别下面散步为:非常慢,慢,中,快速,快速。结果表明,调查指数和步态速度之间的显着相关性(P <; 0.05),其中Cadence(R = 0.749)和协同协调指数(R = -0.463)具有最高和最低的相关性。可以得出结论,速度在步态特征中发挥着重要作用。它可以改变中枢神经系统命令,减少步行平滑度和下肢贡献。因此,最可能在所提出的指数和其他速度相关的特征之间存在关系,如需要长期数据记录的行走动态稳定性。但是,最终评估需要长期步态数据。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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