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Data augmentation for generating synthetic electrogastrogram time series
ID
Miljković, Nadica
(
Author
),
ID
Milenić, Nikola
(
Author
),
ID
Popović, Nenad B.
(
Author
),
ID
Sodnik, Jaka
(
Author
)
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MD5: BE819E3A92A5AC53A7FCB8C484771952
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https://link.springer.com/article/10.1007/s11517-024-03112-0
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Abstract
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
Views:
80
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4
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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
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