Estimation of Joint Angle From sEMG and Inertial Measurements Based on Deep Learning Approach-Reference-Cited by-同舟云学术

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Estimation of Joint Angle From sEMG and Inertial Measurements Based on Deep Learning Approach

Published:2021-11-01 Issue: Volume: Page:
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Container-title:2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Delgado Alfredo Lobaina,Da Rocha Adson F.,Leon Alexander Suarez,Ruiz-Olaya Andres,Montero Klaus Ribeiro,Delis Alberto Lopez

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9629355/9629471/09630609.pdf?arnumber=9630609

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing the online estimation of finger kinematics from sEMG using LSTM with attention mechanisms;Biomedical Signal Processing and Control;2024-06

2. Continuous Motion Intention Prediction Using sEMG for Upper-Limb Rehabilitation: A Systematic Review of Model-Based and Model-Free Approaches;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024

3. sEMG-Based End-to-End Continues Prediction of Human Knee Joint Angles Using the Tightly Coupled Convolutional Transformer Model;IEEE Journal of Biomedical and Health Informatics;2023-11

4. Characterizations on Knee Movement Estimation from Surface EMG Using Composited Approaches;Journal of Electrical Engineering & Technology;2023-05-08

5. Continuous Estimation of Human Knee Joint Angles by Fusing Kinematic and Myoelectric Signals;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2022

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