cchorn / sparc_gi_machine_learning

Repository of code used to analyze gastrointestinal myoelectric activity for use in machine learning

This repository is associated with the following publication:

Machine learning prediction of emesis and gastrointestinal state in ferrets
Ameya C. Nanivadekar, Derek M. Miller, Stephanie Fulton, Liane Wong, John Ogren, Girish Chitnis, Bryan McLaughlin, Shuyan Zhai, Lee E. Fisher, Bill J. Yates, Charles C. Horn
PLoS ONE; doi: https://doi.org/10.1371/journal.pone.0223279

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Sub-folders:

1_helper_functions

• helper functions for analysis using Matlab

2_preprocessing

• selection and filtering of data using Matlab

3_DF_detection

• detection of dominant frequencies using R

4_machine_learning

• machine learning classification using Python

This work was supported by funding from the NIH Common Fund SPARC Program (award#U18TR002205; Closed-loop neuroelectric control of emesis and gastric motility)

SPARC, Stimulating Peripheral activity to relieve conditions

• http://sparc.science
• https://commonfund.nih.gov/Sparc