Postural control is widely studied by various methods. But there are few studies of the dynamic balance in standing posture. Tracking motion is studied to investigate the dynamic balance function. Tracking motion means that the subject on the force plate shifts his body weight according to the reference points on the CRT display. The purpose of our study is to analyze the characteristics of dynamic balance. For this study, we have developed a system using a micro computer, with a force plate as the measuring instrument. Using this system, we can perform an experiment on the tracking motion in standing posture, and we can display the distribution of the parameters. We have applied this study to patients and experimented on normal and pathological subjects. We analyze the results using the distribution of the parameters. This paper summarizes the system with the analysis method, examines the results in normal and pathological subjects, and discusses the relation of the parameters and the disorders, with reference to the learning effects and the aging problem. The following results are observed: (1) Using this system, we can experiment and evaluate the tracking motion in standing posture almost instantly. (2) The experimental results indicate that it is effective for the evaluation method to display the distribution of the parameters. (3) In some disorders, there are unique distributions of the parameters that correspond to their clinical conditions. Thus, it is indicated that the system can be applied to patients. (4) There are learning effects in which the scores get better as the normal subjects repeat the trials, and reproducibility is also recognized. (5) The results for subjects aged from 30 to 70 suggest that they can perform the motion as well as those in their 20s. Thus, it is not necessary to consider the aging problem when the subject is younger than in the 7th decade. As is mentioned above, for body weight shifting, quantitative and visual evaluation can be based on the display of the distribution of the parameters. Therefore, this system is effective for clinical application.
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