PreMovNet: Premovement EEG-Based Hand Kinematics Estimation for Grasp-and-Lift Task
Author:
Affiliation:
1. Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, India
Funder
DRDO - JATC
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7782634/9802798/09796618.pdf?arnumber=9796618
Reference15 articles.
1. Decoding of velocities and positions of 3D arm movement from EEG
2. Assessing movement factors in upper limb kinematics decoding from EEG signals;úbeda;PLoS ONE,2015
3. Multi-channel EEG recordings during 3,936 grasp and lift trials with varying weight and friction;luciw;Data Science Journal,2014
4. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis
5. Adaptive estimation of hand movement trajectory in an EEG based brain–computer interface system
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4. Subject-independent trajectory prediction using pre-movement EEG during grasp and lift task;Biomedical Signal Processing and Control;2023-09
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