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Evaluation Method of the gait motion Based on Self-organizing Map Using the Gravity Center Fluctuation on the Sole

International Journal of Automation and computing 2017年第5期14卷 603-614页

作者： Koji Makino Masahiro Nakamura Hidenori Omori Yoshinobu Hanagata Shohei Ueda Kyosuke Nakagawa Kazuyoshi Ishida Hidetsugu Terada Graduate School of Engineering University of YamanashiKofuYamanashi 400-8511Japan Kofu Municipal Hospital KofuYamanashi 400-0832Japan

This paper describes the evaluation method of the gait motion in walk rehabilitation. We assume that the evaluation consists of the classification of the measured data and the prediction of the feature of the gait motion. The method may enable a doctor and a physical therapist to recognize the condition of the patients more easily, and increase the motivation of patient further for rehabilitation. However, it is difficult to divide the gait motion into discrete categories, since the gait motion continuously changes and does not have the clear boundaries. Therefore, the self-organizing map （SOM） that is able to arrange the continuous data on the almost continuous map is employed in order to classify them. And, the feature of the gait motion is predicted by the classification. In this study, we adopt the gravity-center fluctuation （GCF） on the sole as the measured data. First, it is shown that the pattern of the CCF that is obtained by our developed measurement system includes the feature of the gait motion. Secondly, the relation between the pattern of the GCF and the feature of the gait motion that the doctor and the physical therapist evaluate by visual inspection is considered using the SOM. Next, we describe the prediction of following features measured by numerical values： the length of stride, the velocity of walk and the difference of steps that are important for the doctor and the physical therapist to make a diagnosis of the condition of the gait motion in walk rehabilitation. Finally, it is investigated that the position of a new test data that is arranged on the map accords with the prediction. As a consequence, we confirm that the method using the SOM is often useful to classify and predict the condition of the patient.

关键词： gait motion self-organizing map (SOM) rehabilitation evaluation method gravity center fluctuation (GCF).

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Use of Accelerators for Biomechanical Analysis of Walking motion Aided by Wheeled Walking Frames

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Journal of Mechanics Engineering and Automation 2014年第9期4卷 699-708页

作者： Satoru Okamoto Interdisciplinary Faculty of Science and Engineering Shimane University Matsue 690-8504 Japan

Walkers improve self-reliability. We examined the effectiveness of a newly developed wheeled walking frame for use by physically handicapped persons. Unstable gaits in walker users were analyzed by tri-axial accelerometers and a motion capture system. Several markers were placed on subjects＇ backs and legs. Subjects were requested to walk around a test course at a comfortable speed, while their motion was recorded by two high-speed video cameras. The activities performed on the test course comprised standing, normal walking, fast walking, and walking over a barrier. Any accidental falls were also recorded. We established the characteristic rules of gait motion using a walker. Furthermore, we demonstrated that gait characteristics are more conveniently extracted from acceleration sensors than from motion capture systems, since the sensors can be affixed to subjects for self-monitoring and goal achievements. The methods employing acceleration sensors are considered suitable for determining the average gait motions of elderly persons living in nursing homes, and can be used to evaluate walking motion before and aider rehabilitation.

关键词： Wheeled walking frame gait motion biomechanical analysis acceleration sensor high-speed video camera.

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