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syndata generation
Jussi Korpela edited this page May 17, 2016
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We use the calibration data from dataset 1 as an example seed data for synthetic data generation. The dataset is described in full detail at the competition web page (http://bbci.de/competition/iv/desc_1.html).
In short, the dataset is recorded from healthy subjects during motor imagery of limb movement (hands and legs). Visual cues were presented on a computer screen and the subject was instructed to imagine movement of the corresponding limb.
- Device: BrainAmp MR plus
- Sampling rate: 100 Hz (downsampled)
- Number of channels: 59
Synthetic data can be generateed based on seed data using generate_synthetic_data().
- TODO (jtor): The data generation process should be outlined here