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Walking Motion Analysis of Intermittent Claudication and its Application to Medical Diagnosis
https://doi.org/10.24517/00008951
https://doi.org/10.24517/00008951b79c3889-7c46-44d8-8a11-658e71f4e4c0
名前 / ファイル | ライセンス | アクション |
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TE-PR-WATANABE-T-448.pdf (830.8 kB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2017-10-03 | |||||
タイトル | ||||||
タイトル | Walking Motion Analysis of Intermittent Claudication and its Application to Medical Diagnosis | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
ID登録 | ||||||
ID登録 | 10.24517/00008951 | |||||
ID登録タイプ | JaLC | |||||
著者 |
Watanabe, Tetsuyou
× Watanabe, Tetsuyou× Sanou, Yui× Yoneyama, Takeshi× Toribatake, Yasumitsu× Hayashi, Hiroyuki× Yokogawa, Noriaki |
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著者別表示 |
渡辺, 哲陽
× 渡辺, 哲陽× 米山, 猛 |
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書誌情報 |
Proceedings of the 2010 3rd IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) 巻 2010, 号 527761, p. 448-453, 発行日 2010-01-01 |
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ISBN | ||||||
識別子タイプ | ISBN | |||||
関連識別子 | 978-142447708-1 | |||||
DOI | ||||||
関連タイプ | isVersionOf | |||||
識別子タイプ | DOI | |||||
関連識別子 | 10.1109/BIOROB.2010.5627761 | |||||
出版者 | ||||||
出版者 | IEEE | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | There are mainly two kinds of diseases in intermittent claudication. One is lumbar spinal canal stenosis (LSS) and the other is peripheral arterial disease (PAD). Differentiating LSS and PAD is a critical issue. Wrong differentiation might cause amputation of lower extremities. At small clinics and hospitals, simple and cheap differentiation system is required. Concerning this, this paper investigated walking motions of the patients. The subject with LED markers walked on the treadmill until she or he felt pain. We recorded the walking motion by camera and tracked the LED markers. Treadmill enables to measure walking motion for a long time in a small space, and LED marker provides position of every joint in the walking. Then, we can get the information such as joint angle trajectory, hemi-foot step, stance and swing phases without any other sensors like foot switch or force plate. We compared walking motions of healthy persons, LSS patients and PAD patients, found their features and 3 factors for disease differentiation; average bending angle of knee joint at the start of stance phase, average dorsiflexion angle of ankle joint, and average hemi-foot step length. The results indicate that 2 dimensional images of walking motion for several seconds are enough for deriving the factors. Then, we can construct the simple examination system for the disease differentiation. © 2010 IEEE. | |||||
著者版フラグ | ||||||
出版タイプ | AM | |||||
出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa |