An open dataset for human SSVEPs in the frequency range of 1-60 Hz
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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-02-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-024-03023-7 |
| _version_ | 1827328687365685248 |
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| author | Meng Gu Weihua Pei Xiaorong Gao Yijun Wang |
| author_facet | Meng Gu Weihua Pei Xiaorong Gao Yijun Wang |
| author_sort | Meng Gu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-07T15:21:00Z |
| format | Article |
| id | doaj.art-7961508c33c24b4a9129227d6dc3164f |
| institution | Directory Open Access Journal |
| issn | 2052-4463 |
| language | English |
| last_indexed | 2024-03-07T15:21:00Z |
| publishDate | 2024-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj.art-7961508c33c24b4a9129227d6dc3164f2024-03-05T17:39:26ZengNature PortfolioScientific Data2052-44632024-02-0111111410.1038/s41597-024-03023-7An open dataset for human SSVEPs in the frequency range of 1-60 HzMeng Gu0Weihua Pei1Xiaorong Gao2Yijun Wang3Key Laboratory of Solid-State Optoelectronics Information Technology, Institute of Semiconductors, Chinese Academy of SciencesKey Laboratory of Solid-State Optoelectronics Information Technology, Institute of Semiconductors, Chinese Academy of SciencesDepartment of Biomedical Engineering, School of Medicine, Tsinghua UniversityKey Laboratory of Solid-State Optoelectronics Information Technology, Institute of Semiconductors, Chinese Academy of SciencesAbstract 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.https://doi.org/10.1038/s41597-024-03023-7 |
| spellingShingle | Meng Gu Weihua Pei Xiaorong Gao Yijun Wang An open dataset for human SSVEPs in the frequency range of 1-60 Hz Scientific Data |
| title | An open dataset for human SSVEPs in the frequency range of 1-60 Hz |
| title_full | An open dataset for human SSVEPs in the frequency range of 1-60 Hz |
| title_fullStr | An open dataset for human SSVEPs in the frequency range of 1-60 Hz |
| title_full_unstemmed | An open dataset for human SSVEPs in the frequency range of 1-60 Hz |
| title_short | An open dataset for human SSVEPs in the frequency range of 1-60 Hz |
| title_sort | open dataset for human ssveps in the frequency range of 1 60 hz |
| url | https://doi.org/10.1038/s41597-024-03023-7 |
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