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Zhong-wu Guo

Publications and source records attributed to Zhong-wu Guo.

2 recordsLinked to original sources

[Measurement and statistical analysis of the vertical force in normal young people's gait].

OBJECTIVE: To find a method for evaluating the relationship between mechanical data and gait efficiently. METHOD: 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. RESULT: 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. CONCLUSION: Some significant conclusions of the repetition, dispersion, symmetry and differentia of gait data have been obtained by the analysis.

Adult↗

[A gait analysis system based on digital video and digital image processing].

OBJECTIVE: To provide a gait analysis system. METHOD: The system is composed of general video devices and personal computer hardware. The techniques of digital video and digital image processing such as template matching, sub-pixel and motion estimate etc were employed to identify and trace the markers. RESULT: A gait result of a cerebral palsy object, which consists of bar-figure, data, and video was provided. CONCLUSION: The gait analysis system based on digital video and digital image processing is easy to use, and can provide visual result, which is easy to understand.

Cerebral Palsy↗