Raspberry PI Shield - for measure EEG (PIEEG)
Author:
Affiliation:
1. South Ural State University,Energy Department,Chelyabinsk city,Russia
2. Kanazawa Gakuin University, Sue-machi 10,School of Economics Informatics,Kanazawa-shi,Ishikawa,Japan
3. Independed researcher, Brainflow,Moscow,Russia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9707901/9707891/09707969.pdf?arnumber=9707969
Reference34 articles.
1. Evaluation of a P300-Based Brain-Machine Interface for a Robotic Hand-Orthosis Control
2. A Practical EEG-Based Human-Machine Interface to Online Control an Upper-Limb Assist Robot
3. Evoked Responses to Numerical and Non-Numerical Visual Stimuli while Problem Solving
4. A New Method for Automatic Electrooculogram and Eye Blink Artifacts Correction of EEG Signals using CCA and NAPCT
5. A P300-based Brain-Computer Interface with Stimuli on Moving Objects: Four-Session Single-Trial and Triple-Trial Tests with a Game-Like Task Design
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1. Exploring Convolutional Neural Network Architectures for EEG Feature Extraction;Sensors;2024-01-29
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