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An open dataset for human SSVEPs in the frequency range of 1-60 Hz.
Gu, Meng; Pei, Weihua; Gao, Xiaorong; Wang, Yijun.
Afiliação
  • Gu M; Key Laboratory of Solid-State Optoelectronics Information Technology, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.
  • Pei W; College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Gao X; Key Laboratory of Solid-State Optoelectronics Information Technology, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.
  • Wang Y; School of Future Technology, University of Chinese Academy of Sciences, Beijing, 100049, China.
Sci Data ; 11(1): 196, 2024 Feb 13.
Article em En | MEDLINE | ID: mdl-38351064
ABSTRACT
A steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) system relies on the photic driving response to effectively elicit characteristic electroencephalogram (EEG) signals. However, traditional visual stimuli mainly adopt high-contrast black-and-white flickering stimulations, which are easy to cause visual fatigue. This paper presents an SSVEP dataset acquired at a wide frequency range from 1 to 60 Hz with an interval of 1 Hz using flickering stimuli under two different modulation depths. This dataset contains 64-channel EEG data from 30 healthy subjects when they fixated on a single flickering stimulus. The stimulus was rendered on an LCD display with a refresh rate of 240 Hz. Initially, the dataset was rigorously validated through comprehensive data analysis to investigate SSVEP responses and user experiences. Subsequently, BCI performance was evaluated through offline simulations of frequency-coded and phase-coded BCI paradigms. This dataset provides comprehensive and high-quality data for studying and developing SSVEP-based BCI systems.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Potenciais Evocados Visuais / Interfaces Cérebro-Computador Limite: Humans Idioma: En Revista: Sci Data Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Potenciais Evocados Visuais / Interfaces Cérebro-Computador Limite: Humans Idioma: En Revista: Sci Data Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China