Hearing impairment selectively disrupts neural tracking of speech at both short and long temporal scales during multi-speaker listening, while preserving intermediate linguistic processing.

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!

For the current study, this involves spectral power and EEG functional connectivity across all epochs, and for the social and toy condition separately. Based on the pre-processing report table in the ...

Abstract: Electroencephalography (EEG) research typically focuses on tasks with narrowly defined objectives, but recent studies are expanding into the use of unlabeled data within larger models, ...

EEGLAB-compatible analysis software for manual / visual sleep stage scoring, signal processing and event marking of polysomnographic (PSG) data for MATLAB.

Abstract: Biometric systems play vital role in everyday life. After signal acquisition, first step for any biometric system is to process the signal and extract valuable information from that signal.

ABSTRACT: The eye events (eye blink, eyes close and eyes open) are usually considered as biological artifacts in the electroencephalographic (EEG) signal. One can con-trol his or her eye blink by ...