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Exploring Neurofeedback Training for BMI Power Augmentation of Upper Limbs: A Pilot Study
Hongbo Liang1, Shota Maedono2, Yingxin Yu2
1Maebashi Institute of Technology, Center for Regional Collaboration, 460-1 Kamisadori, Maebashi, Gunma 371-0816, Japan.
Entropy (Basel, Switzerland)
|April 30, 2021
Summary
Electroencephalography neurofeedback (EEG-NFB) training effectively increased EEG beta power for both elbow and shoulder movements. Short-term training significantly improved EEG signals, with shoulder movements showing more pronounced effects.
Area of Science:
- Neuroscience
- Biomedical Engineering
Background:
- Electroencephalography neurofeedback (EEG-NFB) training is known to modify EEG power bands.
- Brain-machine interface (BMI) systems aim to enhance user control through neural signal modulation.
Purpose of the Study:
- To enhance and evaluate specific changes in EEG power spectral density for power augmentation in BMI users via EEG-NFB.
- To investigate the reliable generation of EEG power changes through NFB training.
Main Methods:
- Developed an EEG-NFB training system for power augmentation.
- Three subjects underwent three 6-day consecutive training stages.
- Real-time EEG feedback was provided via a robotic arm during elbow and shoulder joint movements (flexion/extension).
Main Results:
- EEG beta (12-40 Hz) power increased significantly after NFB training for both elbow and shoulder movements.
- Sustained improvements in EEG beta power were observed across the three training stages.
- NFB training demonstrated a more pronounced effect on shoulder joint movements compared to elbow movements.
Conclusions:
- EEG-NFB training effectively enhances EEG signals, specifically increasing beta power.
- Short-term NFB interventions can yield significant improvements in EEG signal quality.
- Findings offer insights for optimizing NFB in BMI power augmentation systems and enhancing performance in healthy individuals.
