AIBullisharXiv – CS AI · 9h ago7/10
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Enabling Unsupervised Training of Deep EEG Denoisers With Intelligent Partitioning
Researchers propose Intelligent Partitioning for Self-supervised Denoising (iPSD), a deep learning method that eliminates the need for artifact-free training data to denoise electroencephalogram (EEG) signals from wearable devices. The technique achieves state-of-the-art performance even in extremely noisy conditions by learning to partition noisy EEG segments into independent realizations sharing the same underlying neural signal.