Data augmentation for generating synthetic electrogastrogram time series

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

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.

• Jezik: Angleški jezik
• Ključne besede: gastric rhythm, electrogastrography, motion sickness, power spectral density, synthetic data
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FE - Fakulteta za elektrotehniko
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2024
• Št. strani: Str. 2879-2891
• Številčenje: Vol. 62, iss. 9
• PID: 20.500.12556/RUL-160090
• UDK: 004:621.3:616.3
• ISSN pri članku: 1741-0444
• DOI: 10.1007/s11517-024-03112-0
• COBISS.SI-ID: 194766851
• Datum objave v RUL: 19.08.2024

MILJKOVIĆ, Nadica, MILENIĆ, Nikola, POPOVIĆ, Nenad B. in SODNIK, Jaka, 2024, Data augmentation for generating synthetic electrogastrogram time series. Medical & biological engineering & computing : journal of the International Federation for Medical & Biological Engineering [na spletu]. 2024. Vol. 62, no. 9, p. 2879–2891. [Dostopano 5 maj 2025]. DOI 10.1007/s11517-024-03112-0. Pridobljeno s: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=slv&id=160090

Gradivo je del revije

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

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: želodčni ritem, elektrogastrografija, gibalna slabost, gostota močnostnega spektra, sintetični podatki

Projekti

• Financer: MESTD - Ministry of Education, Science and Technological Development of Republic of Serbia
• Številka projekta: 451–03-65/2024–03/200103

• Financer: ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
• Številka projekta: P2-0246
• Naslov: ICT4QoL - informacijsko komunikacijske tehnologije za kakovostno življenje