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Beauchamp Lab

R Analysis and Visualization of ECOG Data (RAVE)

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Preprocessing your data with RAVE

Raw ECOG data must first be inspected for noise and preprocessed. We have developed a preprocessing pipeline in conjunction with the Foster lab for implementation into RAVE. This pipeline performs what we consider to be 'standard' preprocessing, and is guided by the principle that users should stay close to their data. In this vein the preprocessing pipeline asks users to manually examine and accept or reject channel data, forcing users to examine how different preprocessing steps actually changes the data. Although this approach may be time consuming initially (in comparison to more automated preprocessing pipelines), we believe staying close to data prevents unknown errors from influencing experiment results.

The preprocessing pipeline involves the following steps:

  1. Convert data from recording equipment's proprietary format
  2. Notch filter to remove 60Hz and harmonics
  3. Examine data and identify bad channels
  4. Common average refence
  5. Reexamine data and identify bad channels; ensure common average referencing did not introduce error
  6. Decompose data via wavelet transformation

Under construction

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