cchorn / deep_network_gi_prediction

This repository contains the computer programming code and data associated with the following publication:

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Prediction of gastrointestinal functional state based on myoelectric recordings utilizing a deep neural network architecture. Mahmoud Elkhadrawi, Murat Akcakaya, Stephanie Fulton, Bill J. Yates, Lee E. Fisher, and Charles C. Horn. PLoS One, 2023.

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Index:

• "1_preprocessing" folder: contains original data and Python code used for preprocessing
• "2_train_evaluation" folder: contains two sub-folders, including Matlab and Python code used to train and evaluate the deep learning / neural network modeling approach

This work was supported by the National Institutes of Health (NIH) grant R01DK121703.