Scalp EEG

Scalp electroencephalography (EEG) is a non-invasive technique used to record brain electrical activity, primarily focusing on detecting and analyzing patterns associated with neurological conditions like epilepsy and sleep disorders. Current research emphasizes improving the accuracy and efficiency of EEG analysis through machine learning algorithms, particularly deep learning models applied to image representations of EEG time series data, aiming for real-time, low-latency applications. This work is driven by the need for more accessible, comfortable, and reliable diagnostic tools, ultimately improving patient care and potentially revolutionizing the diagnosis and management of neurological and psychiatric conditions.

Papers