NIT_Student_data

This dataset contains 22-channel resting-state EEG recordings collected from healthy students aged 20–30 years at [Your College Name]. The EEG signals were recorded using the Clarity BrainTech EEG machine from clarity-medical.com, configured for high-quality research-grade acquisition.<br>EEG Device and Configuration:Device: Clarity BrainTech EEG System<br>Montage: Bipolar Longitudinal<br>Channels: 22<br>Sampling Rate: 256 Hz<br>Low-Frequency Filter (LF): 1 Hz<br>High-Frequency Filter (HF): 70 Hz<br>Notch Filter: ON (to suppress 50 Hz line noise)<br>Muscle Filter: ON<br>Deflection: 100 mm<br>System Frequency: 50 Hz<br>Calibration Frequency: 1 Hz at 50 µV (Square Wave)Recording Protocol:Participants underwent a structured 13-minute EEG session consisting of:<br>First 5 Minutes: Eyes Closed (EC) — to capture baseline neural activity associated with relaxation.<br>Next 4 Minutes: Eyes Open (EO) — to record neural activity during wakeful rest, minimizing eye movement.<br>Final 4 Minutes: Eyes Closed (EC) — to assess consistency and observe changes in resting-state activity.<br>During the recordings:<br>Participants were seated comfortably.<br>They were instructed to relax, avoid deliberate movements, and minimize cognitive activity.<br>Notes for Users:EEG data files are provided in EDF format (.edf).<br>Preprocessing may be required depending on your analysis pipeline (artifact removal, filtering, epoching, etc.).<br>No clinical conditions are associated with the recordings; all participants self-reported as healthy.