Intermittent claudication is a walking symptom.Patients with intermittent claudication experience lower limb pain after walking for a short time.However, rest relieves the pain and allows the patient to walk again.Unfortunately, this symptom predominantly arises from not 1 but 2 different diseases: LSS (lumber spinal canal stenosis) and PAD (peripheral arterial disease).
Patients with LSS can be subdivided by the affected vertebra into 2 main groups: L4 and L5.It is clinically very important to determine whether Car Ornament Gift Box patients with intermittent claudication suffer from PAD, L4, or L5.This paper presents a novel SVM- (support vector machine-) based methodology for such discrimination/differentiation using minimally required data, simple walking motion data in the sagittal plane.We constructed a simple walking measurement system that is easy to set up and calibrate and suitable for use 2 Piece Outdoor Loveseat with Cushion by nonspecialists in small spaces.
We analyzed the obtained gait patterns and derived input parameters for SVM that are also visually detectable and medically meaningful/consistent differentiation features.We present a differentiation methodology utilizing an SVM classifier.Leave-one-out cross-validation of differentiation/classification by this method yielded a total accuracy of 83%.