| Balancing function reflects the capability of human body maintaining posture stabilization,as well as the ability to keep stabilization against external force.For individuals suffering from instability of the lower limb,the assessment of balance function plays an important role in the diagnosis and rehabilitation training.At the same time,the human-machine interactive balance rehabilitation training game based on ground reaction force and plantar pressure has the advantage of arising interest of the trainee over the traditional rehabilitation method.This research focuses on the improvement of the performance and function for a existing balance function evaluation system.Signal conditioning circuits and noise elimination algorithm are redesigned,post data processing software is developed to facilitate the precise analysis of plantar pressure data.The existing balance function detection and evaluation system is mainly composed of ground reaction force measurement module,plantar pressure measurement module,data acquisition module,USB communication module and host computer software.By improving the design of the exciting voltage source of the bridge circuits,filtering circuits and adopting the improved moving average algorithm,the measurement accuracy of the ground reaction force measurement module is greatly improved.By using the image rendering approach of C # "memory method",the coordination design of hardware and software parameters is conducted and an image denoising algorithm based on threshold of connected regions is introduced to improve the quality and refresh rate of pressure cloud.The clinical data are collected with the developed system and statistically analyzed.Statistical characteristics are compared between chronic ankle instability group and normal comparison group,and the results agree well with that of the traditional clinical diagnosis.Two interactive rehabilitation training game modules based on ground reaction force and plantar pressure information have been developed,The training game modules shows promise for improving posture balance capability. |