For the study, investigators will use EEG to monitor brain activity in dogs with epilepsy and compare the frequency and type of seizures detected with those reported by the patients’ caregivers.

3D printed EEG electrode concept [Source: Nature] Researchers have developed a 3D-printed EEG electrode that’s almost invisible. There are always new 3D-print applications, and this is certainly one ...

Learn how to classify sleep stages using EEG data with Python, MNE, and Scikit-learn in this step-by-step guide.

This study introduces a novel matrix determinant feature extraction approach for efficient classification of motor and mental imagery activities from electroencephalography (EEG) signals. First, the ...

Meanwhile, the authors reported that on average EEG-guided patients had breathing tubes removed 3.3 minutes earlier, emerged from anesthesia 21.4 minutes earlier, and were discharged from post ...

Decoding silent reading Electroencephalography (EEG) signals is challenging because of its low signal-to-noise ratio. In addition, EEG signals are typically non-Euclidean structured, therefore merely ...

This repository contains a Python implementation of the False Position Method, also known as the Regula Falsi Method, for finding roots of nonlinear equations. Additionally, the script compares the ...