Abstract
There are mainly two kinds of diseases in intermittent claudication. One is lumbar spinal canal stenosis (LSS) and the other is arteriosclerosis obliterans (PAD). Whether differentiate LSS or PAD is critical issue. Concerning above, this paper presents a novel approach for classification of intermittent claudication from walking motion. We measured the walking motion by camera and track the LED markers in the walking on the treadmill. Then we can get the information such as joint angle trajectory and hemi-foot step. We investigated about the differences among the walking motions of healthy person, LSS patients and PAD patients. It has been revealed that the average of ankle joint angles and hemi-foot step can be used for the diseases differentiation. As the method of diseases differentiation, The SVM has been applied to make the boundary to divide the disease areas. From the differentiation test using the measured data, the availability of this method has been confirmed.
