59-subject 40-class SSVEP dataset.
- Code: Dong2023
- Paradigm: ssvep
- DOI: 10.26599/BSA.2023.9050020
- Subjects: 59
- Sessions per subject: 1
- Events: 8=1, 8.2=2, 8.4=3, 8.6=4, 8.8=5, 9=6, 9.2=7, 9.4=8, 9.6=9, 9.8=10, 10=11, 10.2=12, 10.4=13, 10.6=14, 10.8=15, 11=16, 11.2=17, 11.4=18, 11.6=19, 11.8=20, 12=21, 12.2=22, 12.4=23, 12.6=24, 12.8=25, 13=26, 13.2=27, 13.4=28, 13.6=29, 13.8=30, 14=31, 14.2=32, 14.4=33, 14.6=34, 14.8=35, 15=36, 15.2=37, 15.4=38, 15.6=39, 15.8=40
- Trial interval: [0.5, 4.5] s
- File format: MAT
- Sampling rate: 250.0 Hz
- Number of channels: 8
- Channel types: eeg=8
- Channel names: POz, PO3, PO4, PO7, PO8, Oz, O1, O2
- Montage: standard_1005
- Hardware: NeuSenW (Neuracle)
- Reference: Fp1
- Ground: Fp2
- Sensor type: semi-dry (pre-gelled)
- Line frequency: 50.0 Hz
- Number of subjects: 59
- Health status: healthy
- Age: mean=12.4, min=10, max=16
- Gender distribution: male=37, female=22
- Paradigm: ssvep
- Task type: SSVEP speller
- Number of classes: 40
- Class labels: 8, 8.2, 8.4, 8.6, 8.8, 9, 9.2, 9.4, 9.6, 9.8, 10, 10.2, 10.4, 10.6, 10.8, 11, 11.2, 11.4, 11.6, 11.8, 12, 12.2, 12.4, 12.6, 12.8, 13, 13.2, 13.4, 13.6, 13.8, 14, 14.2, 14.4, 14.6, 14.8, 15, 15.2, 15.4, 15.6, 15.8
- Trial duration: 4.0 s
- Feedback type: visual
- Stimulus type: JFPM visual flicker
- Stimulus modalities: visual
- Primary modality: visual
- Synchronicity: synchronous
- Mode: offline
- Training/test split: False
Schema: HED 8.4.0 | Browse: https://www.hedtags.org/hed-schema-browser
8
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/8
8.2
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/8_2
8.4
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/8_4
8.6
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/8_6
8.8
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/8_8
9
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/9
9.2
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/9_2
9.4
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/9_4
9.6
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/9_6
9.8
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/9_8
10
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/10
10.2
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/10_2
10.4
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/10_4
10.6
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/10_6
10.8
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/10_8
11
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/11
11.2
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/11_2
11.4
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/11_4
11.6
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/11_6
11.8
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/11_8
12
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/12
12.2
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/12_2
12.4
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/12_4
12.6
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/12_6
12.8
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/12_8
13
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/13
13.2
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/13_2
13.4
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/13_4
13.6
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/13_6
13.8
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/13_8
14
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/14
14.2
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/14_2
14.4
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/14_4
14.6
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/14_6
14.8
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/14_8
15
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/15
15.2
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/15_2
15.4
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/15_4
15.6
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/15_6
15.8
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Label/15_8
- Detected paradigm: ssvep
- Stimulus frequencies: [8.0, 8.2, 8.4, 8.6, 8.8, 9.0, 9.2, 9.4, 9.6, 9.8, 10.0, 10.2, 10.4, 10.6, 10.8, 11.0, 11.2, 11.4, 11.6, 11.8, 12.0, 12.2, 12.4, 12.600000000000001, 12.8, 13.0, 13.2, 13.4, 13.600000000000001, 13.8, 14.0, 14.2, 14.4, 14.600000000000001, 14.8, 15.0, 15.2, 15.4, 15.600000000000001, 15.8] Hz
- Frequency resolution: 0.2 Hz
- Trials: 160
- Blocks per session: 4
- Data state: epoched
- Downsampled to: 250.0 Hz
- Classifiers: FBCCA, eTRCA, msTRCA
- Spatial filters: CCA, TRCA
- Method: leave-one-block-out
- Folds: 4
- Evaluation type: within_subject
- Environment: non-shielded
- Online feedback: True
- Pathology: healthy
- Modality: visual
- Type: perception
- DOI: 10.26599/BSA.2023.9050020
- License: CC BY-NC 4.0
- Investigators: Yue Dong, Sen Tian
- Senior author: Yue Dong
- Institution: Jiangsu JITRI Brain Machine Fusion Intelligence Institute
- Country: CN
- Repository: Zenodo
- Data URL: https://zenodo.org/records/18847318
- Publication year: 2023
Y. Dong and S. Tian, "A large database towards user-friendly SSVEP-based BCI," Brain Science Advances, vol. 9, no. 4, pp. 297-309, 2023. DOI: 10.26599/BSA.2023.9050020 Appelhoff, S., Sanderson, M., Brooks, T., Vliet, M., Quentin, R., Holdgraf, C., Chaumon, M., Mikulan, E., Tavabi, K., Hochenberger, R., Welke, D., Brunner, C., Rockhill, A., Larson, E., Gramfort, A. and Jas, M. (2019). MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. Journal of Open Source Software 4: (1896). https://doi.org/10.21105/joss.01896
Pernet, C. R., Appelhoff, S., Gorgolewski, K. J., Flandin, G., Phillips, C., Delorme, A., Oostenveld, R. (2019). EEG-BIDS, an extension to the brain imaging data structure for electroencephalography. Scientific Data, 6, 103. https://doi.org/10.1038/s41597-019-0104-8
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