Decoding of Palmar Grasp and Hand Open Tasks from Low-Frequency EEG from People with Spinal Cord Injury using Machine Learning Algorithms
Author:
Affiliation:
1. Izmir University of Economics,Department of Electrical and Electronics Engineering,Izmir,Turkey
2. Izmir University of Economics,Department of Mechatronics Engineering,Izmir,Turkey
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10359115/10359172/10359200.pdf?arnumber=10359200
Reference16 articles.
1. BCI2000: A General-Purpose Brain-Computer Interface (BCI) System
2. Classification of Forearm Movements by Using Movement Related Cortical Potentials
3. Classification of Raw Spinal Cord Injury EEG Data Based on the Temporal-Spatial Inception Deep Convolutional Neural Network
4. Frequency Domain Feature Extraction Investigation to Increase the Accuracy of an Intelligent Nondestructive System for Volume Fraction and Regime Determination of Gas-Water-Oil Three-Phase Flows
5. Investigating the Effect of Flickering Frequency Pair and Mother Wavelet Selection in Steady-State Visually-Evoked Potentials on Two-Command Brain-Computer Interfaces
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