Design an Accurate BCI System by a Novel Method and the Minimum Number of Channels Based on Five Class Motor Imagery
Author:
Affiliation:
1. Amirkabir University of Technology,Faculty of Biomedical Engineering,Tehran,Iran
2. Islamic Azad University Tehran,Faculty of Medical Sciences and Technologies Science and Research Branch,Iran
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10488481/10488484/10488619.pdf?arnumber=10488619
Reference12 articles.
1. Divergence-Based Framework for Common Spatial Patterns Algorithms
2. Adaptation of Common Spatial Patterns based on mental fatigue for motor-imagery BCI
3. The neural network of motor imagery: An ALE meta-analysis
4. Motor imagery and action observation: cognitive tools for rehabilitation
5. A Computationally Efficient Multiclass Time-Frequency Common Spatial Pattern Analysis on EEG Motor Imagery
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