BNCI 2015-004 Mental tasks dataset.
- Code: BNCI2015-004
- Paradigm: imagery
- DOI: 10.1371/journal.pone.0123727
- Subjects: 9
- Sessions per subject: 2
- Events: math=1, letter=2, rotation=3, count=4, baseline=5
- Trial interval: [0, 4] s
- File format: gdf
- Data preprocessed: True
- Sampling rate: 256.0 Hz
- Number of channels: 30
- Channel types: eeg=30
- Channel names: AFz, F7, F3, Fz, F4, F8, FC3, FCz, FC4, T3, C3, Cz, C4, T4, CP3, CPz, CP4, P7, P5, P3, P1, Pz, P2, P4, P6, P8, PO3, PO4, O1, O2
- Montage: 10-20
- Hardware: g.tec
- Reference: left and right mastoid
- Ground: left and right mastoid
- Sensor type: active electrode
- Line frequency: 50.0 Hz
- Online filters: 0.5-100 Hz bandpass, 50 Hz notch
- Cap manufacturer: g.tec
- Electrode type: g.LADYbird active electrodes
- Auxiliary channels: EOG (2 ch, horizontal, vertical)
- Number of subjects: 9
- Health status: CNS tissue damage
- Clinical population: stroke and spinal cord injury
- Age: mean=38.0, std=10.0, min=20, max=57
- Gender distribution: male=2, female=7
- Handedness: not specified
- BCI experience: naive
- Species: human
- Paradigm: imagery
- Number of classes: 5
- Class labels: math, letter, rotation, count, baseline
- Trial duration: 11.0 s
- Tasks: word_association, mental_subtraction, spatial_navigation, right_hand_imagery, feet_imagery
- Study design: Five mental tasks: word association (WORD), mental subtraction (SUB), spatial navigation (NAV), motor imagery of right hand (HAND), and motor imagery of both feet (FEET). Cue-guided paradigm with 7 seconds of continuous mental imagery per trial.
- Feedback type: none
- Stimulus type: visual cue
- Stimulus modalities: visual
- Primary modality: visual
- Synchronicity: synchronous
- Mode: screening
- Instructions: Participants were asked to continuously perform the specified mental imagery task for 7 seconds. For MI: kinesthetic imagination of movement (e.g., squeezing a rubber ball for hand, dorsiflexion for feet). For WORD: generate words beginning with presented letter. For SUB: successive elementary subtractions. For NAV: spatial navigation.
Schema: HED 8.4.0 | Browse: https://www.hedtags.org/hed-schema-browser
math
├─ Sensory-event, Experimental-stimulus, Visual-presentation
└─ Agent-action
└─ Imagine
├─ Think
└─ Label/math
letter
├─ Sensory-event, Experimental-stimulus, Visual-presentation
└─ Agent-action
└─ Imagine
├─ Think
└─ Label/letter
rotation
├─ Sensory-event, Experimental-stimulus, Visual-presentation
└─ Agent-action
└─ Imagine
├─ Think
└─ Label/rotation
count
├─ Sensory-event, Experimental-stimulus, Visual-presentation
└─ Agent-action
└─ Imagine, Count
baseline
├─ Sensory-event
├─ Experimental-stimulus
├─ Visual-presentation
└─ Rest
- Detected paradigm: motor_imagery
- Imagery tasks: right_hand, feet, word_association, mental_subtraction, spatial_navigation
- Cue duration: 1.0 s
- Imagery duration: 7.0 s
- Trials: 40
- Blocks per session: 8
- Trials context: per_class_per_day
- Data state: filtered
- Preprocessing applied: True
- Steps: bandpass filter, notch filter, artifact rejection
- Highpass filter: 0.5 Hz
- Lowpass filter: 100.0 Hz
- Bandpass filter: {'low_cutoff_hz': 0.5, 'high_cutoff_hz': 100.0}
- Notch filter: [50] Hz
- Artifact methods: manual artifact rejection based on EOG
- Re-reference: left and right mastoid
- Classifiers: LDA
- Feature extraction: bandpower, temporal features
- Frequency bands: mu=[8, 12] Hz; beta=[13, 30] Hz
- Method: 10-fold cross-validation
- Folds: 10
- Evaluation type: within_session, cross_session
- Accuracy: 77.0%
- Best Task Pair Gmac: 77.0
- Sub Vs Feet Gmac: 77.0
- Word Vs Hand Gmac: 70.0
- Hand Vs Feet Gmac: 64.0
- Between Day Word Vs Hand Gmac: 82.0
- Applications: communication, motor_function_restoration
- Environment: rehabilitation center
- Online feedback: False
- Pathology: Stroke, Spinal Cord Injury, CNS Damage
- Modality: Motor, Cognitive
- Type: Motor, Cognitive
- DOI: 10.1371/journal.pone.0123727
- License: CC-BY-NC-ND-4.0
- Investigators: Reinhold Scherer, Josef Faller, Elisabeth V. C. Friedrich, Eloy Opisso, Ursula Costa, Andrea Kübler, Gernot R. Müller-Putz
- Senior author: Reinhold Scherer
- Contact: reinhold.scherer@tugraz.at
- Institution: Institut Guttmann
- Department: Institut Universitari de Neurorehabilitació adscrit a la UAB
- Address: 08916 Badalona, Barcelona, Spain
- Country: Spain
- Repository: BNCI Horizon 2020
- Data URL: https://bnci-horizon-2020.eu/database/data-sets
- Publication year: 2015
- Funding: FP7 EU Research Projects BrainAble (No. 247447); ABC (No. 287774); BackHome (No. 288566)
- Ethics approval: Comitè d'Ètica Assistencial de l'Institut Guttman
- Keywords: brain-computer interface, motor imagery, mental tasks, EEG, CNS tissue damage, stroke, spinal cord injury, binary classification
Zhang, X., Yao, L., Zhang, Q., Kanhere, S., Sheng, M., & Liu, Y. (2017). A survey on deep learning based brain computer interface: Recent advances and new frontiers. IEEE Transactions on Cognitive and Developmental Systems, 10(2), 145-163.
Notes
.. note::
BNCI2015_004 was previously named BNCI2015004. BNCI2015004 will be removed in version 1.1.
.. versionadded:: 0.4.0 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
Generated by MOABB 1.5.0 (Mother of All BCI Benchmarks) https://github.com/NeuroTechX/moabb