title: [Measurement and statistical analysis of the vertical force in normal young people's gait].
abstract: OBJECTIVE
  To find a method for evaluating the relationship between mechanical data and gait efficiently.
  
  
  METHODS
  Gait mechanical data of 27 young men (20-22 years) without history of the kinetic diseases were collected using a force-measuring system. The data were transformed into characteristic two-peak curves in vertical direction (z-axis). Seven characteristic parameters were distilled. The coefficient of variation (CV) and the absolute symmetry index (ASI) of the parameters between left foot and right foot were analyzed.
  
  
  RESULTS
  It was found that CV of the first temporal parameter of gait (T(Z1)) is equal to 14.49%, which corresponds to larger dispersion. The values of ASI are all lower than 12.5%, which means the symmetry between left and right feet meets general requirement. But the P value (result of t-test) of F(Z2) is 0.0368 (lower than 0.05), which means that there is obvious differentia between F(Z2) of left and right feet, while no such differentiae were found for the other six characteristic parameters. t-test was also used to analyze the differentia between the gait of male and female. It is still found that p value of F(Z2) is lower than 0.01, which corresponds to a great differentia on F(Z2) between male and female.
  
  
  CONCLUSIONS
  Some significant conclusions of the repetition, dispersion, symmetry and differentia of gait data have been obtained by the analysis.
authors.forename: Chun-ya
authors.initials: CY
authors.lastname: Geng
authors.forename: Jun
authors.initials: J
authors.lastname: Ma
authors.forename: Zhong-wu
authors.initials: ZW
authors.lastname: Guo
authors.forename: Hui
authors.initials: H
authors.lastname: Ding
authors.forename: Hai-shu
authors.initials: HS
authors.lastname: Ding
mesh_terms: D000328:Adult; D001696:Biomechanical Phenomena; D016001:Confidence Intervals; D005260:Female; D005528:Foot / Q000033:anatomy & histology / Q000502:physiology*; D005684:Gait / Q000502:physiology*; D006801:Humans; D008297:Male; D016138:Walking / Q000502:physiology / Q000706:statistics & numerical data*