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.
Links
- https://www.degruyter.com/downloadpdf/j/cdbme.2019.5.issue-1/cdbme-2019-0096/cdb[...]
- doi:https://doi.org/10.1515/cdbme-2019-0096
BibTeX (Download)
@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} }