SEED-VIG

홈페이지 · 논문 2편

The SEED-VIG dataset is composed of four parts. EEG features include: EEG_Feature_2Hz: EEG features (power spectral density: PSD, differential entropy: DE) from the total frequency band (1~50 Hz) with a 2 Hz frequency resolution. The fields "psd_movingAve", "psd_LDS", "de_movingAve", and "de_LDS" indicate PSD with a moving average, PSD with a linear dynamic system, DE with a moving average, and DE with a linear dynamic system, respectively. The data format is channel*sample_number*frequency_bands (17*885*25). The first 1–5 in the first dimension 'channel' correspond to temporal brain areas, and the last 7–17 correspond to posterior brain areas. EEG_Feature_5Bands: This part is similar to the EEG_feature_2Hz file except that EEG features (PSD, DE) are extracted from five frequency bands: delta (1~4 Hz), theta (4~8 Hz), alpha (8~14 Hz), beta (14~31 Hz), and gamma (31~50 Hz). The data format is channel*sample number*frequency bands (17*885*5). Forehead EEG feature files have a similar architecture to EEG features, but there are only four channels for the data tensor (4*885*25 and 4*885*5). EOG features. The fields "features_table_ica", "features_table_minus", and "features_table_icav_minh" indicate forehead EOG features that correspond to different VEO and HEO separation methods using ICA and minus approaches. The data format is sample number*feature dimension (885*36). The PERCLOS label files contain continuous vigilance labels (ranging from 0 to 1) calculated from eye tracking data.