Liu2022 – eldBETA SSVEP benchmark dataset for elderly population
收藏DataCite Commons2026-04-28 更新2026-05-06 收录
下载链接：
https://nemar.org/dataexplorer/detail?dataset_id=nm000130&version=1.0.0
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资源简介：
The eldBETA dataset comprises 64-channel EEG recordings from 100 healthy elderly participants (aged 51-81 years) performing a 9-target steady-state visual evoked potential (SSVEP) brain-computer interface task. Stimuli employed joint frequency and phase modulation across frequencies ranging from 8.0 to 12.0 Hz, with each subject completing 7 sessions of 9 trials recorded at 1000 Hz. This benchmark dataset is designed to advance BCI research in aging populations and facilitate the development of age-appropriate neurotechnological applications.
提供机构：
NEMAR (Neuroelectromagnetic Data Archive and Tools Resource)
创建时间：
2026-04-28
