文献类型：期刊文献

英文题名：MSEva: A Musculoskeletal Rehabilitation Evaluation System Based on EMG Signals

作者：Dai, Yuanchao[1];Wu, Jing[2];Fan, Yuanzhao[1];Wang, Jin[1];Niu, Jianwei[3];Gu, Fei[1];Shen, Shigen[4]

机构：[1]Soochow Univ, Sch Comp Sci & Technol, 1 Shizi St, Suzhou 215006, Jiangsu, Peoples R China;[2]Soochow Univ, Sch Publ Hlth, Jiangsu Key Lab Prevent & Translat Med Geriatr Di, Med Coll, 199 Renai Rd, Suzhou 215123, Jiangsu, Peoples R China;[3]Beihang Univ, Sch Comp Sci & Engn, State Key Lab Virtual Real Technol & Syst, 37 Xueyuan Rd, Beijing 100191, Peoples R China;[4]Shaoxing Univ, Dept Comp Sci & Engn, Shaoxing 312000, Zhejiang, Peoples R China

年份：2023

卷号：19

期号：1

外文期刊名：ACM TRANSACTIONS ON SENSOR NETWORKS

收录：SCI-EXPANDED(收录号：WOS:000952552800006)、、WOS

基金：This work was supported in part by the National Natural Science Foundation of China (62072321), China Postdoctoral Science Foundation (2020M671597), Jiangsu Postdoctoral Research Foundation (2020Z100), National Science Foundation of the Jiangsu Higher Education Institutions of China (20KJB520002), Suzhou Planning Project of Science and Technology (SNG2020073, SS202023, SYG202024), Hong Kong Research Grant Council (GRF 11211519), Six Talent Peak Project of Jiangsu Province (XYDXX-084), Tang Scholar of Soochow University and the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD), Science and Technology Innovation Committee Foundation of Shenzhen (JCYJ20200109143223052), and Zhejiang Provincial Natural Science Foundation of China under Grant (LZ22F020002).

语种：英文

外文关键词：EMG signals; rehabilitation evaluation; LSTM network

外文摘要：In order to better assist the rehabilitation treatment of patients with musculoskeletal injury, standard rehabilitation actions are needed to guide the musculoskeletal rehabilitation process. With more and more urgent demands, the musculoskeletal rehabilitation evaluation systems have attracted a high degree of attention. Experts have proposed a series of systems based on laser, ultrasound, and image, which can give reasonable recognition and judgment. However, these systems either require specialized and expensive equipment or can be affected by ionizing radiation. How to construct a musculoskeletal rehabilitation evaluation system with low cost, good effect, and little injury is still a great challenge. In this article, we propose MSEva, a musculoskeletal rehabilitation evaluation system based on EMG signals. Specifically, the system uses EMG sensors to collect a large amount of data for five rehabilitation actions. Secondly, MSEva usesWavelet Transform (WT) to extract the signal features and then puts the processed data into the Long Short-Term Memory (LSTM) network for model training. Finally, the system uses the LSTM model to evaluate the normality of the EMG response of rehabilitation actions. The results show that the average accuracy of MSEva reaches 94.37%, which has important evaluation value in guiding the rehabilitation of musculoskeletal patients.