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qEEG Consistency

Software implementing methods from: David O. Nahmias, Kimberly L. Kontson, David A. Soltysik, and F. Civillico, Eugene. Consistency of quantitative electroencephalography features in a large clinical data set. Journal of Neural Engineering, 16(066044), 2019.

This work evaluates stationarity of qEEG features as well as metrics for quantifying intra-subject and inter-subject consistency of features.

Usage

python figureGen.py

with files in data subfolder.

Development setup

Developed and tested on Python 2.7, packages used found in software header. Make file coming soon.

Release History

  • 0.0.1
    • Initial commit of stable project

Meta

David Nahmias – Websitedavid.nahmias@fda.hhs.gov

Distributed under the public domain license. See LICENSE for more information.

https://github.com/dbp-osel

Citation

David O. Nahmias, Kimberly L. Kontson, David A. Soltysik, and F. Civillico, Eugene. Consistency of quantitative electroencephalography features in a large clinical data set. Journal of Neural Engineering, 16(066044), 2019.

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Code from work published in Nahmias et. al. Journal of Neural Engineering, 2019

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