This repository contains GNU Octave code for the paper titled Data Augmentation for Generating Synthetic Electrogastrogram Time Series authored by Nadica Miljković (ORCiD: 0000-0002-3933-6076), Nikola Milenić (ORCiD: 0009-0004-7794-4795), Nenad B. Popović (ORCiD: 0000-0002-5221-1446), and Jaka Sodnik (ORCiD: 0000-0002-8915-9493)
This repository contains both sample data and GNU Octave code, as well as README.md and license files.
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/.
Please, report any bugs to the Authors listed in the Contacts.
The repository contains the following code:
- syEGG.m - software code (GNU Octave function) that generates synthetic electrogastrogram (EGG) timeseries based on method described in [2] that is derived from parameters calculated on data available in [3-4]
- syEGG_VR.m - software code (GNU Octave function) that generates altered EGG timeseries in the presence of simulator sickness, the method is fully described in [2]
- paper_figs.m - software code (GNU Octave code) for reproducibility of figures presented in [2], it uses syEGG.m, syEGG_VR.m, and ID18_postprandial.txt
- stepAnalysis.m - software code (GNU Octave code) for extensive analysis of applied Butterworth filter in [2]
- automaticDetectionBA.m - software code (GNU Octave code) examination of breathing artifact for [2], it uses data from [3-4]
- ID18_postprandial.txt - sample data from the EGG database [3-4] that is used for producing figures by paper_figs.m software code (The data is licensed under Creative Commons Attribution 4.0 International)
N. Milenić (milenicnikola@gmail.com) or N. Miljković (e-mail: nadica.miljkovic@etf.bg.ac.rs).
Nadica Miljković acknowledges the support from the grant No. 451-03-65/2024-03/200103 funded by the Ministry of Science, Technological Development and Innovation, Republic of Serbia. Jaka Sodnik acknowledges the support from Slovenian Research Agency under grant No. P2-0246. The Funders were not involved in the study design, collection, analysis, and interpretation of data; in the manuscript preparation; and in the decision to submit the manuscript.
We kindly thank Prof. Sašo Tomažič from the Faculty of Electrical Engineering, University of Ljubljana for his valuable advises on signal processing methods.
If you find provided code and signals useful for your own research and teaching class, please cite the following references:
- Miljković, N., Milenić, N., Popović, N.B., and Sodnik, J., 2023. NadicaSm/syEGG: v1 (Version v1). Version v1. [Software code] Zenodo. https://doi.org/10.5281/zenodo.7698446
- Miljković, N., Milenić, N., Popović, N.B., and Sodnik, J., 2024. Data Augmentation for Generating Synthetic Electrogastrogram Time Series. Medical and Biological Engineering and Computing, pp. 1-13, https://doi.org/10.1007/s11517-024-03112-0.
- 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: https://doi.org/10.1515/bmt-2017-0218.
- 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: https://doi.org/10.5281/zenodo.3730617.