moabb.datasets.BNCI2019_001#
- class moabb.datasets.BNCI2019_001[source]#
BNCI 2019-001 Motor Imagery dataset for Spinal Cord Injury patients.
Dataset summary
#Subj
10
#Chan
64
#Classes
5
#Trials / class
varies
Trials length
3 s
Freq
256 Hz
#Sessions
1
#Runs
9
Total_trials
varies
Participants
Population: spinal cord injury
Handedness: right-handed (all participants originally)
Equipment
Amplifier: g.tec
Electrodes: active electrode
Montage: 10-5
Reference: left earlobe
Preprocessing
Data state: raw (GDF format)
Bandpass filter: 0.01-100 Hz
Steps: bandpass filter, notch filter
Re-reference: car
Data Access
DOI: 10.1038/s41598-019-43594-9
Data URL: https://doi.org/10.5281/zenodo.2222268
Repository: Zenodo
Experimental Protocol
Paradigm: imagery
Feedback: visual feedback (online paradigm only - movement icon displayed when movement attempt detected)
Stimulus: avatar
Dataset summary
Name
#Subj
#Chan
#Trials/class
Trials length
Sampling Rate
#Sessions
BNCI2019_001
10
61+3EOG
72 per class
3s
256Hz
1
Dataset from [1].
Dataset Description
This dataset consists of EEG recordings from 10 participants with cervical spinal cord injury (SCI) performing attempted hand and arm movements.
Participants attempted five movement types: supination, pronation, hand open, palmar grasp, and lateral grasp.
Participants
10 participants with cervical spinal cord injury
Age range: 20-78 years (mean 49.8, SD 17.6)
Gender: 9 male, 1 female
Handedness: All right-handed
Recording Details
Channels: 61 EEG + 3 EOG electrodes
Sampling rate: 256 Hz
Reference: Left earlobe
Motor Imagery Classes
supination (776): Forearm supination
pronation (777): Forearm pronation
hand_open (779): Hand opening movement
palmar_grasp (925): Palmar (power) grasp
lateral_grasp (926): Lateral (key) grasp
References
[1]Ofner, P. et al. (2019). Attempted arm and hand movements can be decoded from low-frequency EEG from persons with spinal cord injury. Scientific Reports, 9(1), 7134. https://doi.org/10.1038/s41598-019-43594-9
Notes
Added in version 1.2.0.