计算机工程与应用2024，Vol.60Issue(14)：26-36,11.DOI:10.3778/j.issn.1002-8331.2312-0288
表面肌电关节连续运动估计的研究进展
Research Progress in Surface Electromyography Joint Continuous Motion Estimation
摘要
Abstract
Surface electromyography(sEMG)is a non-invasive bioelectrical signal used to capture changes in muscle activity during exercise.Because it is closely related to sports,it is widely used in the research and development process of intelligent assisted rehabilitation equipment to provide support and assistance for rehabilitation patients.Rehabilitation training involves complex three-dimensional motion,and sEMG-based joint continuous motion estimation is a method to estimate joint angle or moment by analyzing sEMG during exercise,which can effectively alleviate the problem of insuffi-cient adaptability between rehabilitation machine and human body,providing safer assistance and significantly improving the rehabilitation effect.This paper firstly introduces the current status of joint continuous motion estimation,and then classifies the existing sEMG joint continuous motion estimation models into biomechanics-based musculoskeletal model and machine learning-based regression model according to different research methods,and summarizes and analyzes the relevant models respectively.In addition,the paper also analyzes the current challenges and looks forward to the future research trends.关键词
表面肌电信号(sEMG)/关节连续运动/肌肉骨骼模型/回归模型Key words
surface electromyography signaling(sEMG)/continuous movement of joints/musculoskeletal models/regression models分类
信息技术与安全科学引用本文复制引用
马一凡,魏德健,冯妍妍,于丰帆,李振江..表面肌电关节连续运动估计的研究进展[J].计算机工程与应用,2024,60(14):26-36,11.基金项目
国家自然科学基金面上项目(82174528,82374620) （82174528,82374620）
山东省研究生教育质量提升计划项目(SDYKC21055). （SDYKC21055）
