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BY 4.0 license Open Access Published by De Gruyter September 18, 2019

Foetal heart rate assessment by empirical mode decomposition and spectral analysis

  • Patricio Fuentealba EMAIL logo , Alfredo Illanes and Frank Ortmeier
From the journal Current Directions in Biomedical Engineering
https://doi.org/10.1515/cdbme-2019-0096
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Abstract

This paper focuses on studying the time-variant dynamics involved in the foetal heart rate (FHR) response resulting from the autonomic nervous system modulation. It provides a comprehensive analysis of such dynamics by relating the spectral information involved in the FHR signal with foetal physiological characteristics. This approach is based on two signal processing methods: the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and time-varying autoregressive (TV-AR) modelling. First, the CEEMDAN allows to decompose the signal into intrinsic mode functions (IMFs). Then, the TV-AR modelling allows to analyse their spectral dynamics. Results reveal that the IMFs can involve significant spectral information (p -value < 0.05) that can help to assess the foetal condition.

Keywords: Foetal monitoring; cardiotocograph; empirical mode decomposition; time-varying autoregressive spectrum
Published Online: 2019-09-18
Published in Print: 2019-09-01

© 2019 by Walter de Gruyter Berlin/Boston

This work is licensed under the Creative Commons Attribution 4.0 Public License.

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From the journal
Current Directions in Biomedical Engineering
Current Directions in Biomedical Engineering
Volume 5 Issue 1

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