app-detect-alpha-peak

Detect individual alpha peak in MEG signals.

app-detect-alpha-peak documentation

1. Detect alpha peak frequency for each channel and for the mean over all channels
2. Input file is:
   • a .csv file containing the Power Spectral Densities
3. Ouput files are:
   • a .csv file containing the alpha peak frequency for each channel and the mean over all channels,
   • plot of the mean Power Spectral density over all channels,
   • plot of the mean Power Spectral density for each channel.

Authors

• Aurore Bussalb

Contributors

• Aurore Bussalb
• Maximilien Chaumon

Funding Acknowledgement

brainlife.io is publicly funded and for the sustainability of the project it is helpful to Acknowledge the use of the platform. We kindly ask that you acknowledge the funding below in your code and publications. Copy and past the following lines into your repository when using this code.

Citations

1. Avesani, P., McPherson, B., Hayashi, S. et al. The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services. Sci Data 6, 69 (2019). https://doi.org/10.1038/s41597-019-0073-y

Running the App

On Brainlife.io

This App is still private on Brainlife.io.

Running Locally (on your machine)

1. git clone this repo
2. Inside the cloned directory, create config.json with the same keys as in config.json.example but with paths to your input files and values of the input parameters. For instance:

{
  "fif": "rest1-raw.fif"
}

3. Launch the App by executing main

./main

Output

The output files are a .csv file and two plots in .png.