基于体表肌电信号的下肢康复训练关键技术研究

Proceedings of the 2021 10th International Conference on Bioinformatics and Biomedical Science Pub Date : 2021-10-29 DOI:10.1145/3498731.3498745

Liye Ren, Chen Wang, Ping Feng

{"title":"基于体表肌电信号的下肢康复训练关键技术研究","authors":"Liye Ren, Chen Wang, Ping Feng","doi":"10.1145/3498731.3498745","DOIUrl":null,"url":null,"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.","PeriodicalId":166893,"journal":{"name":"Proceedings of the 2021 10th International Conference on Bioinformatics and Biomedical Science","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research on Key Techniques of Lower Limb Rehabilitation Training Based on Human Surface EMG Signal\",\"authors\":\"Liye Ren, Chen Wang, Ping Feng\",\"doi\":\"10.1145/3498731.3498745\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":166893,\"journal\":{\"name\":\"Proceedings of the 2021 10th International Conference on Bioinformatics and Biomedical Science\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2021 10th International Conference on Bioinformatics and Biomedical Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3498731.3498745\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2021 10th International Conference on Bioinformatics and Biomedical Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3498731.3498745","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

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。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

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

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Proceedings of the 2021 10th International Conference on Bioinformatics and Biomedical Science

自引率

0.00%

发文量