Three-channel surface electrogastrogram (EGG) dataset recorded during fasting and post-prandial states in 20 healthy individuals

This repository contains Electrogastrography signals termed Electrogastrograms (EGG) recorded with surface Ag/AgCl electrodes placed over stomach and pre-processed in 20 healthy individuals (8 Females and 12 Males). The method for EGG recording and pre-processing together with subjects' data can be found in Popović et al. 2019.

For each subject, EGG was recorded from three locations before (fasting state) and after (postprandial state) a commercial oat meal (274 kcal). Two 20 minutes recordings (files) are obtained for each subject - fasting and postprandial.

Naming convention for files: subjects ID _ type of recording (fasting / postprandial).

Sample rate was set at 2 Hz and A/D card had 16 bits resolution. Gain of the amplifier was set at 1000. Overall, file size is 7200 samples (2400 samples for each channel). All signals were filtered with 3^rd order band-pass Butterworth filter with cut-off frequencies of 0.03 Hz and 0.25 Hz. In order to avoid phase distortion, zero-phase digital filtering was performed in Matlab R2013a by filtfilt() function. GNU Octave code for analysis of EGG signals with statistical calculations presented in Popović et al. 2019 is also provided (eggAnalysis.m).

For convenient test download and appropriate preview, we provided all signals in .zip and sample signal for ID1 in .txt form.

Dataset contents

1. EGG-database.zip, data files, text format
2. eggAnalysis.m, GNU Octave code
3. README.txt, metadata for data files, text format
4. ID1_fasting.txt and ID1_postprandial.txt, sample data files for subject ID1, text format

Data files contain numerical values with decimal point according to the following structure

1. column - CH1* (recorded samples from channel 1)
2. column - CH2* (recorded samples from channel 2)
3. column - CH3* (recorded samples from channel 3)

* For exact anatomical locations for EGG channels CH1, CH2, and CH3, please refer to Popović et al. 2019.

If you find these signals useful for your own research or teaching class, please cite both relevant paper and dataset as:

1. Popović, N.B., Miljković, N. and Popović, M.B., 2019. Simple gastric motility assessment method with a single-channel electrogastrogram. Biomedical Engineering/Biomedizinische Technik, 64(2), pp.177-185, doi: 10.1515/bmt-2017-0218.

2. Popović, N.B., Miljković, N. and Popović, M.B., 2020. Three-channel surface electrogastrogram (EGG) dataset recorded during fasting and post-prandial states in 20 healthy individuals [Data set]. Zenodo, doi: 10.5281/zenodo.3730617.

DISCLAIMER: The GNU Octave code is provided without any guarantee and it is not intended for medical purposes.