Ear EEG

Ear-EEG, the recording of brainwave activity from electrodes placed in the ear, is emerging as a less invasive alternative to traditional scalp EEG. Current research focuses on improving signal quality through denoising techniques like convolutional autoencoders, and on validating its use in applications such as sleep staging and auditory attention decoding, often employing machine learning models such as neural networks. While still under development, ear-EEG shows promise for improving the accessibility and comfort of neurophysiological monitoring, potentially impacting fields like sleep medicine and brain-computer interfaces.