MAMEM EEG SSVEP Dataset I: 256-Channel Signals from 11 Subjects

EEG signals from 11 subjects captured during a Steady-State Visually Evoked Potential (SSVEP) experiment. The data was recorded using a 256-channel EGI 300 Geodesic EEG System at a 250 Hz sampling rate, with visual stimulation at five distinct frequencies (6.66, 7.50, 8.57, 10.00, and 12.00 Hz). The dataset was created by Spiros Nikolopoulos and is accompanied by a technical report and a processing toolbox.

Use Cases

• Developing SSVEP frequency classification models based on the 256-channel EEG recordings.
• Benchmarking signal processing algorithms for noise reduction and feature extraction from high-density EEG data.
• Training models for subject-independent BCI calibration using data from 11 distinct individuals.
• Researching the neural correlates of visual stimulation at specific frequencies (6.66-12.00 Hz).

Strengths

• High-density EEG data from 256 channels, which may provide detailed spatial information.
• Signals from 11 subjects, offering a basis for multi-subject analysis.
• Precise experimental protocol with five defined visual stimulation frequencies.
• Includes a dedicated processing toolbox and a technical report for reproducibility.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

paperswithcode

Collection Method

Signals were captured using an EGI 300 Geodesic EEG System (GES 300) with a 256-channel HydroCel Geodesic Sensor Net during a controlled SSVEP experiment.