Patricio Fuentealba, Alfredo Illanes, Frank Ortmeier: Foetal heart rate assessment by empirical mode decomposition and spectral analysis. In: Current Directions in Biomedical Engineering, 5 (1), S. 381–383, 2019.

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.

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@article{fuentealba2019foetal,
title = {Foetal heart rate assessment by empirical mode decomposition and spectral analysis},
author = {Patricio Fuentealba and Alfredo Illanes and Frank Ortmeier},
url = {https://www.degruyter.com/downloadpdf/j/cdbme.2019.5.issue-1/cdbme-2019-0096/cdbme-2019-0096.pdf},
doi = {https://doi.org/10.1515/cdbme-2019-0096},
year  = {2019},
date = {2019-09-18},
journal = {Current Directions in Biomedical Engineering},
volume = {5},
number = {1},
pages = {381--383},
publisher = {De Gruyter},
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 = {cardiotocograph, empirical mode decomposition, foetal  monitoring, time-varying autoregressive spectrum},
pubstate = {published},
tppubtype = {article}
}