moabb.datasets.Dreyer2023B#
- class moabb.datasets.Dreyer2023B(subjects=None, sessions=None)[source]#
Class for Dreyer2023B dataset management. MI dataset.
Dataset summary
#Subj
21
#Chan
27
#Classes
2
#Trials / class
20
Trials length
5 s
Freq
512 Hz
#Sessions
1
#Runs
6
Total_trials
5040
Participants
Population: healthy
Age: 29 (range: 19-59) years
Handedness: not specified
BCI experience: naive
Equipment
Amplifier: g.tec g.USBAmp
Electrodes: active electrodes
Montage: 10-20
Reference: left earlobe
Preprocessing
Data state: raw
Bandpass filter: 5-35 Hz
Re-reference: Laplacian (for C3/C4 during analysis)
Data Access
DOI: 10.1038/s41597-023-02445-z
Data URL: https://doi.org/10.5281/zenodo.8089820
Repository: Zenodo
Experimental Protocol
Paradigm: imagery
Feedback: visual
Stimulus: cursor_feedback
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Dataset description
“A large EEG database with users’ profile information for motor imagery Brain-Computer Interface research” [1] [2]
- Data collectors:
Appriou Aurélien; Caselli Damien; Benaroch Camille; Yamamoto Sayu Maria; Roc Aline; Lotte Fabien; Dreyer Pauline; Pillette Léa
- Data manager:
Dreyer Pauline
- Project leader:
Lotte Fabien
- Project members:
Rimbert Sébastien; Monseigne Thibaut
Dataset Dreyer2023B contains EEG, EOG and EMG signals recorded on 21 healthy subjects performing Left-Right Motor Imagery experiments (8 women, age 19-37, M = 29, SD = 9.318) [2]. Experiments were conducted by female experimenters. In addition, for each recording the following pieces of information are provided: subject’s demographic, personality and cognitive profiles, the OpenViBE experimental instructions and codes, and experimenter’s gender.
The experiment is designed for the investigation of the relation between MI-BCI online performance and Most Discriminant Frequency Band (MDFB) [2].
A recording contains open and closed eyes baseline recordings and 6 runs of the MI experiments. First 2 runs (acquisition runs) were used to train system and the following 4 runs (training runs) to train the participant. Each run contained 40 trials [1].
- Each trial was recorded as follows [1]:
t=0.00s cross displayed on screen
t=2.00s acoustic signal announced appearance of a red arrow
t=3.00s a red arrow appears (subject starts to perform task)
t=4.25s the red arrow disappears
t=4.25s the feedback on performance is given in form of a blue bar with update frequency of 16 Hz
t=8.00s cross turns off (subject stops to perform task)
- EEG signals [1]:
recorded with 27 electrodes, namely: Fz, FCz, Cz, CPz, Pz, C1, C3, C5, C2, C4, C6, F4, FC2, FC4, FC6, CP2, CP4, CP6, P4, F3, FC1, FC3, FC5, CP1, CP3, CP5, P3 (10-20 system), referenced to the left earlobe.
- EOG signals [1]:
recorded with 3 electrodes, namely: EOG1, EOG2, EOG3 placed below, above and on the side of one eye.
- EMG signals [1]:
recorded with 2 electrodes, namely: EMGg, EMGd placed 2.5cm below the skinfold on each wrist.
- Demographic and biosocial information includes:
gender, birth year, laterality
vision, vision assistance
familiarity to cognitive science or neurology, level of education
physical activity, meditation
attentional, neurological, psychiatrics symptoms
- Personality and the cognitive profile [1]:
evaluated via 5th edition of the 16 Personality Factors (16PF5) test
and mental rotation test
index of learning style
- Pre and post experiment questionnaires [1]:
evaluation of pre and post mood, mindfulness and motivational states
- The online OpenViBE BCI classification performance [1]:
only performance measure used to give the feedback to the participants
References