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syndata generation

Jussi Korpela edited this page May 17, 2016 · 5 revisions

Synthetic data generation

Seed data

BCI competition IV dataset 1

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.

Technical specifications

  • Device: BrainAmp MR plus
  • Sampling rate: 100 Hz (downsampled)
  • Number of channels: 59

Data generation process

Synthetic data can be generateed based on seed data using generate_synthetic_data().

  • TODO (jtor): The data generation process should be outlined here

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