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Wang2016 – SSVEP Wang 2016 dataset

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DataCite Commons2026-05-04 更新2026-05-06 收录
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https://nemar.org/dataexplorer/detail?dataset_id=nm000126&version=1.0.0
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资源简介:
A benchmark steady-state visual evoked potential (SSVEP) dataset comprising EEG recordings from 34 healthy subjects performing a 40-target brain-computer interface speller task. Subjects viewed flickering visual stimuli at frequencies ranging from 8 to 15.8 Hz with 0.2 Hz resolution, using a joint frequency and phase modulation approach. The dataset includes 64-channel EEG data sampled at 250 Hz with 6 trials per target frequency, providing a comprehensive resource for developing and validating SSVEP-based BCI algorithms.
提供机构:
NEMAR (Neuroelectromagnetic Data Archive and Tools Resource)
创建时间:
2026-05-04
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