An 18-subject EEG data collection using a visual-oddball task, designed for benchmarking algorithms and headset performance comparisons.
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ABSTRACT:
SUBMITTER: Robbins K
PROVIDER: S-EPMC5712810 | biostudies-literature | 2018 Feb
REPOSITORIES: biostudies-literature
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An 18-subject EEG data collection using a visual-oddball task, designed for benchmarking algorithms and headset performance comparisons.
Robbins Kay K Su Kyung-Min KM Hairston W David WD
Data in brief 20171113
This data note describes an 18-subject EEG (electroencephalogram) data collection from an experiment in which subjects performed a standard visual oddball task. Several research projects have used this data to test artifact detection, classification, transfer learning, EEG preprocessing, blink detection, and automated annotation algorithms. We are releasing the data in three formats to enable benchmarking of EEG algorithms in many areas. The data was acquired using a Biosemi Active 2 EEG headset ...[more]
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