@article{oai:kanazawa-u.repo.nii.ac.jp:00008964,
 author = {渡辺, 哲陽 and 米山, 猛 and Watanabe, Tetsuyou and Sanou, Yui and Yoneyama, Takeshi and Toribatake, Yasumitsu and Hayashi, Hiroyuki and Yokogawa, Noriaki},
 issue = {527761},
 journal = {Proceedings of the 2010 3rd IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob)},
 month = {Jan},
 note = {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.},
 pages = {448--453},
 title = {Walking Motion Analysis of Intermittent Claudication and its Application to Medical Diagnosis},
 volume = {2010},
 year = {2010}
}