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

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

Use Cases

• Classifying SSVEP stimulation frequencies based on 256-channel EEG recordings.
• Developing signal processing algorithms for high-density EEG data.
• Benchmarking BCI spellers or control systems using the described SSVEP protocol.
• Analyzing the spatial distribution of SSVEP responses across the scalp.

Strengths

• Data was captured using a high-density 256-channel EEG system, providing detailed spatial information.
• Signals were recorded from 11 subjects, allowing for multi-subject analysis.
• The experimental protocol used five precisely defined stimulation frequencies (6.66, 7.50, 8.57, 10.00, 12.00 Hz).
• A dedicated open-source processing toolbox is available for data handling.

Limitations

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

Provenance

Source

paperswithcode

Collection Method

EEG signals captured from subjects executing an SSVEP-based experimental protocol using an EGI 300 Geodesic EEG System.