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Data augmentation for generating synthetic electrogastrogram time series
ID Miljković, Nadica (Avtor), ID Milenić, Nikola (Avtor), ID Popović, Nenad B. (Avtor), ID Sodnik, Jaka (Avtor)

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URLURL - Izvorni URL, za dostop obiščite https://link.springer.com/article/10.1007/s11517-024-03112-0 Povezava se odpre v novem oknu

Izvleček
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 Povezava se odpre v novem oknu
UDK:004:621.3:616.3
ISSN pri članku:1741-0444
DOI:10.1007/s11517-024-03112-0 Povezava se odpre v novem oknu
COBISS.SI-ID:194766851 Povezava se odpre v novem oknu
Datum objave v RUL:19.08.2024
Število ogledov:318
Število prenosov:21
Metapodatki:XML DC-XML DC-RDF
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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 Povezava se odpre v novem oknu

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

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