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Found 2 papers, 1 papers with code
BCI-Walls: A robust methodology to predict success or failure in brain computer interfaces
The results show that facial muscle activity and eye-movements have a strong impact on the detectability of EEG and that minimising both eye-movement artefacts and muscle noise is essential to be able to detect conscious EEG changes.
Real-time noise cancellation with Deep Learning
Biological measurements are often contaminated with large amounts of non-stationary noise which require effective noise reduction techniques.
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