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A COVID-19 survivors and close contacts EEG dataset
This dataset comprises 169 resting-state electroencephalograms (EEGs) from COVID-19 survivors (n=86) and healthy close contacts (n=83), acquired using standard 10-20 electrode montage. The study characterizes EEG signatures associated with COVID-19 infection and recovery, comparing neurophysiological patterns between affected and control groups. Data collection included 8 minutes of eyes-closed resting EEG followed by alternating eye-state conditions, providing a comprehensive neurophysiological profile relevant to understanding post-COVID neurological sequelae.
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Coming soon. Per-file data-quality summaries are precomputed by the NEMAR processing pipeline. The static aggregate is on the way — tracked at nemar-cli#511.