Data augmentation for generating synthetic electrogastrogram time series

Miljković, Nadica (author), Milenić, Nikola (author), Popović, Nenad B. (author), Sodnik, Jaka (author)

To address an emerging need for large number of diverse datasets for rigor evaluation of signal processing techniques, we developed and evaluated a new method for generating synthetic electrogastrogram time series. We used electrogastrography (EGG) data from an open database to set model parameters and statistical tests to evaluate synthesized data. Additionally, we illustrated method customization for generating artificial EGG time series alterations caused by the simulator sickness. Proposed data augmentation method generates synthetic EGG data with specified duration, sampling frequency, recording state (postprandial or fasting state), overall noise and breathing artifact injection, and pauses in the gastric rhythm (arrhythmia occurrence) with statistically significant difference between postprandial and fasting states in > 70% cases while not accounting for individual differences. Features obtained from the synthetic EGG signal resembling simulator sickness occurrence displayed expected trends. The code for generation of synthetic EGG time series is not only freely available and can be further customized to assess signal processing algorithms but also may be used to increase data diversity for training artificial intelligence (AI) algorithms. The proposed approach is customized for EGG data synthesis but can be easily utilized for other biosignals with similar nature such as electroencephalogram.

• Language: English
• Keywords: gastric rhythm, electrogastrography, motion sickness, power spectral density, synthetic data
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FE - Faculty of Electrical Engineering
• Publication status: Published
• Publication version: Version of Record
• Year: 2024
• Number of pages: Str. 2879-2891
• Numbering: Vol. 62, iss. 9
• PID: 20.500.12556/RUL-160090
• UDC: 004:621.3:616.3
• ISSN on article: 1741-0444
• DOI: 10.1007/s11517-024-03112-0
• COBISS.SI-ID: 194766851
• Publication date in RUL: 19.08.2024

Record is a part of a journal

• Title: Medical & biological engineering & computing : journal of the International Federation for Medical & Biological Engineering
• Shortened title: Med. biol. eng. comput.
• Publisher: Springer Nature, International Federation for Medical and Biological Engineering
• ISSN: 1741-0444
• COBISS.SI-ID: 513214745

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

• Language: Slovenian
• Keywords: želodčni ritem, elektrogastrografija, gibalna slabost, gostota močnostnega spektra, sintetični podatki

Projects

• Funder: MESTD - Ministry of Education, Science and Technological Development of Republic of Serbia
• Project number: 451–03-65/2024–03/200103

• Funder: ARRS - Slovenian Research Agency
• Project number: P2-0246
• Name: ICT4QoL - informacijsko komunikacijske tehnologije za kakovostno življenje