Your browser does not allow JavaScript!
JavaScript is necessary for the proper functioning of this website. Please enable JavaScript or use a modern browser.
Open Science Slovenia
Open Science
DiKUL
slv
|
eng
Search
Browse
New in RUL
About RUL
In numbers
Help
Sign in
An open dataset with electrohysterogram records of pregnancies ending in induced and cesarean section delivery
ID
Jager, Franc
(
Author
)
PDF - Presentation file,
Download
(1,58 MB)
MD5: A6A7B7A964C56F7FB71BC7C6509F7F2B
URL - Source URL, Visit
https://www.nature.com/articles/s41597-023-02581-6
Image galllery
Abstract
The existing non-invasive automated preterm birth prediction methods rely on the use of uterine electrohysterogram (EHG) records coming from spontaneous preterm and term deliveries, and are indifferent to term induced and cesarean section deliveries. In order to enhance current publicly available pool of term EHG records, we developed a new EHG dataset, Induced Cesarean EHG DataSet (ICEHG DS), containing 126 30-minute EHG records, recorded early (23rd week), and/or later (31st week) during pregnancy, of those pregnancies that were expected to end in spontaneous term delivery, but ended in induced or cesarean section delivery. The records were collected at the University Medical Center Ljubljana, Ljubljana, Slovenia. The dataset includes 38 and 43, early and later, induced; 11 and 8, early and later, cesarean; and 13 and 13, early and later, induced and cesarean EHG records. This dataset enables better understanding of the underlying physiological mechanisms involved during pregnancies ending in induced and cesarean deliveries, and provides a robust and more realistic assessment of the performance of automated preterm birth prediction methods.
Language:
English
Keywords:
electrohysterogram
,
electrohysterogram records
,
term birth prediction
,
induced birth
,
cesarean section delivery
,
preterm birth prediction
,
electromyography
,
EMG
,
learning algorithms
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FRI - Faculty of Computer and Information Science
Publication status:
Published
Publication version:
Version of Record
Year:
2023
Number of pages:
12 str.
Numbering:
Vol. 10, art. 669
PID:
20.500.12556/RUL-164454
UDC:
004:618.39
ISSN on article:
2052-4463
DOI:
10.1038/s41597-023-02581-6
COBISS.SI-ID:
166694659
Publication date in RUL:
25.10.2024
Views:
62
Downloads:
8
Metadata:
Cite this work
Plain text
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
Copy citation
Share:
Record is a part of a journal
Title:
Scientific data
Publisher:
Springer Nature
ISSN:
2052-4463
COBISS.SI-ID:
523393305
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:
elektrohisterogram
,
posnetki elektrohisterograma
,
napoved terminskega poroda
,
inducirani porod
,
carski porod
,
napoved prezgodnjega poroda
Projects
Funder:
ARRS - Slovenian Research Agency
Project number:
P3-0124
Name:
Metabolni in prirojeni dejavniki reproduktivnega zdravja, porod III
Similar documents
Similar works from RUL:
Similar works from other Slovenian collections:
Back