Liu2020 – BETA SSVEP benchmark dataset
收藏DataCite Commons2026-05-04 更新2026-05-06 收录
下载链接：
https://nemar.org/dataexplorer/detail?dataset_id=nm000129&version=1.0.0
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资源简介：
The BETA SSVEP benchmark dataset comprises 64-channel EEG recordings from 70 healthy subjects performing a 40-target cued-spelling brain-computer interface task using steady-state visual evoked potentials (SSVEP). Recorded in a naturalistic classroom environment with joint frequency and phase modulation stimuli, this dataset provides a realistic benchmark for SSVEP-BCI applications with frequencies ranging from 8.0 to 15.8 Hz (0.2 Hz step) and sampling at 250 Hz.
提供机构：
NEMAR (Neuroelectromagnetic Data Archive and Tools Resource)
创建时间：
2026-05-04
