期刊文献+

正常学龄前儿童步行时的动态足底压力特征 被引量:22

Dynamic plantar pressure characteristics of normal children before school age in gait
在线阅读 下载PDF
导出
摘要 目的:了解正常学龄前儿童步行时的动态足底压力特征。方法:于2004-05/2005-04选择深圳市不同地区的4所幼儿园的具有正常步行能力的学龄前健康儿童52名,运用Ultraflex连续性足底压力步态分析系统,对其进行了步行时动态足底压力运动力学数据采样。经过电脑数据录入分析,可以得到特征性的双峰曲线。从双峰曲线提取特征量,进行统计分析。分析各特征量的变异系数,确定离散度较小的特征量。对不同性别、左右侧足底压力的特征量分别进行t检验,了解是否存在统计学差异。结果:52名儿童全部进入结果分析。①受试儿童的足底压力曲线表现为具有2个峰和1个谷的双峰波形。②在从足底压力曲线提取的特征量中,左侧的第二峰值、到达谷值的时间占该侧支撑时间的比率、到达第二峰值的时间占该侧支撑时间的比率的变异系数分别为11.8%,12.3%,7.1%,10.9%;右侧相应的变异系数分别为11.0%,11.4%,7.1%,10.5%(均小于12.5%,说明离散度较小)。③所有特征量在男女儿童之间无统计学差异,左右侧第二峰值和到达谷值的时间占该侧支撑时间的比率有差异(158.6±18.7)%,(146.8±16.1)%;(51.39±6.31)%,(54.44±6.24)%,P=0.000,0.001。结论:①该组儿童步行时足底压力变化表现为双峰曲线。②特征量的数据具有很好的重复性,满足生物力学实验可接受水平。③男女之间无统计学差异,左右侧存在一定的差异性。 AIM: To find the dynamic plantar pressure characteristics of normal children before school age in gait. METHODS: Uhraflex gait analysis system was used to perform continuous plantar pressure test in 52 normal children before school age, who had normal walking ability, from 4 kindergartens of different area of Shenzhen City from May 2004 to April .2005. Data of dynamic plantar pressures in gait were recorded and analyzed with a computer, and special bimodal curve could be gained. Characteristic parameters were picked up from bimodal curve of plantar pressure for'statistical analysis. Coefficient of varia- tion of characteristic parameters was analyzed to determine parameters with small dispersion, t-test was performed to find out if there was statistical difference between genders as well as left and right sides. RESULTS: Totally 52 children were involved in the result analysis. ① Curve of plantar pressure to time of testees in this study was a wave shape with two peaks and one valley. ②Of the characteristic parameters picked from curve of plantar pressure, coefficients of variance of the second peak value on the left, ratio of time to valley to support period of that side, ratio of time to the second peak value to support time of that side and support duration were 11.8%, 12.3% ,7.1%, 10.9%, respectively; The corresponding coefficients of variance at the right side were 11.0%, 11.4%,7.1%, 10.5%, respectively (Less than 12.5% indicated the small dispersion). ③No statistical difference of all characteristic parameters was found between genders. Some parameters showed significant difference between sides in the second peak and the ratio of time to valley value to support period of that side [( 158.6±18.7 )%, ( 146.8±16.1 )% ; (51.39±6.31)%, (54.44±6.24)% ,P =0.000,0.001]. CONCLUSION: ①Curve of plantar pressure to time of normal children is a two-peak wave shape. ② Characteristic parameters are fairly reproducibility, which is fit for the acceptable level of vitodynamics trial. ③No significant difference exists between genders, some parameters show significant difference between the left and right sides.
出处 《中国临床康复》 CSCD 北大核心 2006年第24期55-57,共3页 Chinese Journal of Clinical Rehabilitation
  • 相关文献

参考文献8

  • 1Forner Cordero A,Koopman HJ,van der Helm FC.Use of pressure insoles to calculate the complete ground reaction forces.J Biomech 2004;37(9):1427-32
  • 2Titianova EB,Mateev PS,Tarkka IM.Footprint analysis of gait using a pressure sensor system.J Electromyogr Kinesiol 2004;14(2):275-81
  • 3Faivre A,Dahan M,Parratte B,et al.Instrumented shoes for pathological gait assessment.Mechanics Research Communications 2004;31(5):627-32
  • 4Volkmann J,Sturm V,Weiss P,et al.Bilateral high-frequency stimulation of the internal globus pallidus in advanced Parkinson's disease.Ann Neurol 1998;44(6):953-61
  • 5Wong AM,Chen CL,Hong WH,et al.Motor control assessment for rhizotomy in cerebral palsy.Am J Phys Med Rehabil 2000;79(5):441-50
  • 6White R,Agouris I,Selbie RD,et al.The variability of force platform data in normal and cerebral palsy gait.Clin Biomech (Bristol,Avon) 1999;14(3):185-92
  • 7耿春亚,马军,郭忠武,丁辉,丁海曙.关于正常青年人步态竖直方向力的检测与统计分析[J].航天医学与医学工程,2003,16(5):364-367. 被引量:19
  • 8郭忠武,丁海曙,王广志,丁辉.基于运动学和动力学参数的步态识别研究[J].生物医学工程学杂志,2005,22(1):1-4. 被引量:7

二级参考文献11

  • 1全国统计方法应用标准化技术委员会.数据的统计处理和解释[M].杭州:浙江大学出版社,1991.24.
  • 2Cunado D, Nixon M, Carter J. Gait extraction and description by evidence gathering. In:proceedings of 2nd Int Conf on Audio- and Video-Based Biometric Person Authentication, 1999.http://citeseer.nj.nec.com/cs.
  • 3Song Y, Feng X, Perona P. Towards detection of human motion (C). CVPR, 2000.http://citeseer.nj.nec.com/cs.
  • 4Huang PS, Harris CJ, Nixon MS. Comparing different template features for recognizing people by their gait. BMVC, 1998.http://citeseer.nj.nec.com/cs.
  • 5Chiraz BA. Gait as a biometric for person identification in video sequences. http://citeseer.nj.nec.com/cs.
  • 6Philippe CC. Sensor fusion for a biometric system using gait. http://citeseer.nj.nec.com/cs.
  • 7Giannini S,Catani F, Benedetti MG, et al. Gait analysis methodologies and clinical applications. Amsterdam: IOS Press, 1994:83-86..
  • 8王学仁 王松桂.实用多元统计分析[M].上海:上海科学技术出版社,1984.115-121.
  • 9Krzaowski WJ. Principles of multivariate analysis. Oxford: Clarendon Press, 1988:370-376.
  • 10郭忠武,王广志,刘永斌,丁辉,刘利坚,丁海曙.基于数字视频和数字图像处理的步态分析系统[J].航天医学与医学工程,2002,15(2):122-126. 被引量:18

共引文献24

同被引文献261

引证文献22

二级引证文献204

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部