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您的检索式：作者名="Shohei Ueda"
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| 1 | Overexpression of eukaryotic elongation factor eEF2 in gastrointestinalcancers and its involvement in G2/M progression in the cell cycle显示文摘 | Junya Nakamura Sayaka Aoyagi Isamu Nanchi Shin-Ichi Nakatsuka Erika Hirata Shohei Shibata Mari Fukuda Yumiko Yamamoto Ikuyo Fukuda Naoya Tatsumi Tazu Ueda Fumihiro Fujiki Masaya Nomura Sumiyuki Nishida Toshiaki Shirakata Naoki Hosen Akihoro Tsuboi Yoshihi | 2009 | International Journal of Oncology2009，，： | 1 |
| 2 | Clinical effects of infusing anti-epstein-barr virus (EBV)-specific cytotoxic T-lymphocytes into patients with severe chronic active EBV infection显示文摘 | Masao Hagihara Takahide Tsuchiya Osamu Hyodo Yoko Ueda Kei Tazume Aya Masui Ayako Kanemura Fumiaki Yoshiba Shinji Takashimizu Shohei Matzusaki Shunichi Kato Tomomitsu Hotta | 2003 | International Journal of Hematology2003，，1： | 1 |
| 3 | Evaluation Method of the Gait Motion Based on Self-organizing Map Using the Gravity Center Fluctuation on the Sole显示文摘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. | Koji Makino Masahiro Nakamura Hidenori Omori Yoshinobu Hanagata Shohei Ueda Kyosuke Nakagawa Kazuyoshi Ishida Hidetsugu Terada | 2017 | International Journal of Automation and computing2017，14，5： | 0 |
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