Research on Key Techniques of Lower Limb Rehabilitation Training Based on Human Surface EMG Signal

Abstract

In this paper, the Support Vector Machine (SVM) was introduced into the pattern recognition of human lower limb movements, and a classification method based on multi-core Support Vector Machine was constructed. Through motion pattern recognition, a model representing the relationship between motion and surface EMG signals was established, which provided technical Support for the rehabilitation and diagnosis of patients with lower limb hemiplegia.