Kim2025 – 40-class beta-range SSVEP speller 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=nm000127&version=1.0.0
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资源简介：
A 40-class steady-state visually evoked potential (SSVEP) brain-computer interface dataset designed to reduce visual fatigue through beta-range frequency stimulation (14.0–21.8 Hz). The dataset comprises 33-channel EEG recordings from 40 healthy participants performing a speller task across 6 sessions, with stimuli presented using the joint frequency-phase modulation (JFPM) approach. This resource supports the development and benchmarking of low-fatigue BCI applications.
提供机构：
NEMAR (Neuroelectromagnetic Data Archive and Tools Resource)
创建时间：
2026-05-04
