Toward a Minimal sEMG Setup for Knee and Ankle Kinematic Estimation during Gait
Author:
Affiliation:
1. Università Politecnica delle Marche,Department of Information Engineering,Ancona,Italy,60131
2. Al-Khwarizmi College of Engineering, University of Baghdad,Biomedical Engineering Department,Baghdad,Iraq
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10178426/10178704/10178776.pdf?arnumber=10178776
Reference22 articles.
1. A State-Space EMG Model for the Estimation of Continuous Joint Movements
2. Continuous and simultaneous estimation of lower limb multi-joint angles from sEMG signals based on stacked convolutional and LSTM models
3. Smart healthcare-oriented online prediction of lower-limb kinematics and kinetics based on data-driven neural signal decoding
4. Real-time simulation of hand motion for prosthesis control
5. Comparison of SVM and LS-SVM for Regression
Cited by 2 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. Neuromechanical-Driven Ankle Angular Position Control During Gait Using Minimal Setup and LSTM Model;2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA);2024-06-26
2. A Minimal and Multi-Source Recording Setup for Ankle Joint Kinematics Estimation During Walking Using Only Proximal Information From Lower Limb;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024
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