EEG Cortical Source Feature based Hand Kinematics Decoding using Residual CNN-LSTM Neural Network-Reference-Cited by-同舟云学术

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EEG Cortical Source Feature based Hand Kinematics Decoding using Residual CNN-LSTM Neural Network

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
language:
Short-container-title:

Author:

Jain Anant¹,Kumar Lalan²

Affiliation:

1. Indian Institute of Technology Delhi,Department of Electrical Engineering,New Delhi,India,110016

2. Indian Institute of Technology Delhi,Bharti School of Telecommunication, and, Yardi School of Artificial Intelligence,Department of Electrical Engineering,New Delhi,India,110016

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10339936/10339939/10341052.pdf?arnumber=10341052

Reference21 articles.

1. Review of Machine Learning Techniques for EEG Based Brain Computer Interface

2. An EEG-/EOG-Based Hybrid Brain-Computer Interface: Application on Controlling an Integrated Wheelchair Robotic Arm System

3. SSVEP-Based Brain Computer Interface Controlled Soft Robotic Glove for Post-Stroke Hand Function Rehabilitation

4. Trajectory Decoding of Arm Reaching Movement Imageries for Brain-Controlled Robot Arm System

5. Reconstruction of hand, elbow and shoulder actual and imagined trajectories in 3D space using EEG slow cortical potentials

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