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An exploratory approach to fetal heart rate–pH-based systems

Georgoulas, George (author)
DataWise Data Engineering LLC, 1938 Volberg St, Atlanta, GA, 30318, USA
Karvelis, Petros (author)
Laboratory of Knowledge and Intelligent Computing, Department of Informatics and Telecommunications, University of Ioannina, 47100, Arta, Greece
Chudacek, Vaclav (author)
CIIRC, Czech Technical, University in Prague, Prague, Czech Republic
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Spilka, Jiri (author)
CIIRC, Czech Technical, University in Prague, Prague, Czech Republic
Burša, Miroslav (author)
CIIRC, Czech Technical, University in Prague, Prague, Czech Republic
Lhotska, Lenka (author)
CIIRC, Czech Technical, University in Prague, Prague, Czech Republic
Stylios, Chrysostomos D. (author)
Laboratory of Knowledge and Intelligent Computing, Department of Informatics and Telecommunications, University of Ioannina, 47100, Arta, Greece
Nikolakopoulos, George (author)
Luleå tekniska universitet,Signaler och system
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 (creator_code:org_t)
2020-06-22
2021
English.
In: Signal, Image and Video Processing. - : Springer. - 1863-1703 .- 1863-1711. ; 15:1, s. 43-51
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • This paper presents an exploratory approach of the fetal heart rate (FHR) analysis, aiming to highlight potential limitations of the current predictive modeling attempts. To do so, a set of features that are usually encountered in FHR analysis as well as features extracted using a variant of symbolic aggregate approximation were projected onto a lower-dimensional space where patterns can easily be discerned. The results show, both in a qualitative and a quantitative manner, that there is high overlap between the classes that are formed using solely the umbilical cord pH information, irrespective of the selected dimensionality reduction method. These findings suggest that there is probably a limit to the performance expectation of the current pH-based systems and that alternative approaches should be also pursued to enhance the utility of computer-based decision support technologies.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Robotteknik och automation (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Robotics (hsv//eng)

Keyword

Dimensionality reduction
Exploratory analysis
Feature extraction
Fetal heart rate
Robotics and Artificial Intelligence
Robotik och artificiell intelligens

Publication and Content Type

ref (subject category)
art (subject category)

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