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

Abstract

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.

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Notes

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    In two and three dimensions, the human eye is an excellent pattern recognition tool and easily perceives the complexity of a potential classification task and can also discern the existence of structures/patterns in the data. However, the use of three-dimensional (3D) scatter plots was not exploited, to avoid the extra complexity imposed by the selection of the best viewpoint.

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Correspondence to Petros Karvelis.

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Georgoulas, G., Karvelis, P., Chudacek, V. et al. An exploratory approach to fetal heart rate–pH-based systems. SIViP (2020). https://doi.org/10.1007/s11760-020-01727-y

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Keywords

  • Dimensionality reduction
  • Exploratory analysis
  • Feature extraction
  • Fetal heart rate