Comparing EMG-Based Human-Machine Interfaces for Estimating Continuous, Coordinated Movements-Reference-Cited by-同舟云学术

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Comparing EMG-Based Human-Machine Interfaces for Estimating Continuous, Coordinated Movements

Published:2019-10 Issue:10 Volume:27 Page:2145-2154
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Pan Lizhi^ORCID,Crouch Dustin L.^ORCID,Huang He^ORCID

Funder

Defense Advanced Research Projects Agency

National Science Foundation

U.S. Department of Defense

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

https://ieeexplore.ieee.org/ielam/7333/8868226/8815894-aam.pdf

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2. Enhanced EMG-Based Hand Gesture Classification in Real-World Scenarios: Mitigating Dynamic Factors With Tempo-Spatial Wavelet Transform and Deep Learning;IEEE Transactions on Medical Robotics and Bionics;2024-08

3. Trial of Brain–Computer Interface for Continuous Motion Using Electroencephalography and Electromyography;Electronics;2024-07-15

4. Human-Centered Evaluation of EMG-Based Upper-Limb Prosthetic Control Modes;IEEE Transactions on Human-Machine Systems;2024-06

5. EMG-to-torque models for exoskeleton assistance: a framework for the evaluation ofin situcalibration;2024-01-12

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