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

Liye Ren, Chen Wang, Ping Feng
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引用次数: 1

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.
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基于体表肌电信号的下肢康复训练关键技术研究
本文将支持向量机(SVM)引入到人体下肢运动的模式识别中,构建了一种基于多核支持向量机的分类方法。通过运动模式识别,建立运动与表面肌电信号之间的关系模型,为下肢偏瘫患者的康复和诊断提供技术支持。
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