Uterine EMG Signals Spectral Analysis for Pre-Term Birth Prediction

Authors

  • M. G. Tsipouras Department of Informatics and Telecommunications Engineering, University of Western Macedonia, Greece
Volume: 8 | Issue: 5 | Pages: 3310-3315 | October 2018 | https://doi.org/10.48084/etasr.2146

Abstract

A methodology for prediction of pre-term births is presented in this paper. The methodology is based on the analysis of EHG signals and data mining techniques. Initially, spectral and non-linear characteristics of the EHG are extracted, forming a pattern that is used to train a classifier to discriminate between term and pre-term cases. The method has been tested using a benchmark EHG database, and the obtained results indicate its effectiveness in accurate pre-term/term labour prediction.

Keywords:

preterm delivery, electrohysterogram, EHG signal processing, uterine electromyogram

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References

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[1]
M. G. Tsipouras, “Uterine EMG Signals Spectral Analysis for Pre-Term Birth Prediction”, Eng. Technol. Appl. Sci. Res., vol. 8, no. 5, pp. 3310–3315, Oct. 2018.

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