Abstract
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 GCF 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.
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This work was supported by JSPS KAKENHI (Nos. JP26730118 and JP16K12486).
Recommended by Guest Editor Jinhua She
Koji Makino received the B.Eng., M. Eng. and Ph.D. degrees in engineering from the Tokyo Institute of Technology, Japan in 1999, 2001 and 2008, respectively. In April 2001, he joined the Honda Motor Co., Ltd. In April 2008, he joined the Research Organization for Information Science & Technology. In June 2009, he was a faculty member at the School of Computer Science, Tokyo University of Technology, and in April 2013 at the Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi, where he is currently an assistant professor. He is a member of IEEJ (the Institute of Electrical Engineers of Japan), JSME (the Japan Society of Mechanical Engineers), and RSJ (the Robotics Society of Japan). He received Poster Award at the Next-Generation Supercomputing Symposium in 2008, Excellent Presentation Award of IEEEJ Industry Applications Society in 2012, and Excellent Presentation Awards at the 14th SICE System Integration Division Annual Conference in 2013.
His research interests include the medical robotics, swarm robotics, and the application of control theory.
Masahiro Nakamura received the Bachelor of Medicine and Bachelor of Surgery (MBBS) and Ph.D. degrees in medical science from the Yamanashi Medical University, Japan in 1997 and 2005, respectively. In 1998, he received medical license. He was a faculty member and a research associate at Yamanashi Medical University, Japan in 1997 and 2000, respectively. In 2010, he joined the Kofu Municipal Hospital. Currently, he is a physician, at the Department of Orthopaedic Surgery, Japan. He is a member of JARA (The Japanese Society for Replacement Arthroplasty), JHS (Japanese Hip Society) and JSCB (the Japanese Society for Clinical Biomechanics).
His research interests include computer simulation of artificial joint and patient specific surgical instruments using 3D printer.
Hidenori Omori received the associate Bachelor of Nursing Science degrees in mechanical engineering from Ohtsuki City College and Kanto Rehabilitation College, Japan in 1997 and 2006, respectively. In 2006, he was a medical staff at the Kofu Municipal Hospital, Japan. Currently, he is a physical therapist in the Department of Rehabilitation at the Kofu Municipal Hospital, Japan. He is a member of JPTA (the Japanese Physical Therapy Association).
His research interest is the analysis of the factor of the walking capability after discharge from hospital.
Yoshinobu Hanagata received the B.M. (Bachelor of Nursing Science) degree in mechanical science from the TEIKYO University of Science, Japan in 2010. In 2010, he was a medical staff at the Kofu Municipal Hospital, Japan. Currently, he is a physical therapist in the Department of Rehabilitation at the Kofu Municipal Hospital, Japan. He is a member of JPTA.
His research interest is the evaluation of the gait motion of the patient receiving the surgery of Total Knee Arthroplasty.
Shohei Ueda received the B.M. (Bachelor of Nursing Science) degree in mechanical science from the TEIKYO University of Science, Japan in 2012. In 2012, he was a medical staff at the Kofu Municipal Hospital, Japan. Currently, he is a physical therapist in the Department of Rehabilitation at the Kofu Municipal Hospital, Japan. He is a member of JPTA.
His research interests include evaluation and prediction of condition of the patient after proximal femoral fractures.
Kyosuke Nakagawa received the B.Eng. degree in engineering from the University of Yamanashi, Japan in 2014. Currently, he is a master student in course at the University of Yamanashi, Japan.
His research interest is the evaluation of the gait motion using 3D vision camera.
Kazuyoshi Ishida received the B. Eng., M. Eng. and Ph. D. degrees in medical engineering from the University of Yamanashi, Japan in 1998, 2000 and 2006, respectively. He is currently an associate professor at the Interdisciplinary Graduate School of Medicine and Engineering, the University of Yamanashi in Kofu, Japan. He is a member of JSME (the Japan Society of Mechanical Engineers), JSPE (the Japan Society for Precision Engineering), JAST (the Japanese Society of Tribologists), JSCB and JSEE (the Japanese Society for Engineering Education).
His research interests include wear characteristics, robotics and engineering education.
Hidetsugu Terada received the B.Eng. and M.Eng. degrees in mechanical engineering from the University of Yamanashi, Japan, in 1986 and 1988, respectively. He then received the Ph.D. degree from the Tokyo Institute of Technology, Japan in 1993. He is currently a professor at the Graduate School of Medical and Engineering Science, the University of Yamanashi in Kofu, Japan. He is a member of JSPE, JSDE (the Japan Society for Design Engineering), IFToMM (International Federation for the Promotion of Mechanism and Machine Science), RSJ (the Robotics Society of Japan), JSCB and JSME. He received Award of the Japan Society for Precision Engineering in 1989, Best Presentation Award of Machine Design Division (JSME) in 2004 and Accomplishment Award of Machine Design Division (JSME) in 2014.
His research interests include gear-less reducers, robotics and micro-machining.
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Makino, K., Nakamura, M., Omori, H. et al. Evaluation method of the gait motion based on self-organizing map using the gravity center fluctuation on the sole. Int. J. Autom. Comput. 14, 603–614 (2017). https://doi.org/10.1007/s11633-016-1045-8
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DOI: https://doi.org/10.1007/s11633-016-1045-8