Investigating an Optimal Signal Epoch Length for Cardiotocographic Classification

This work focuses on investigating an optimal foetal heart rate (FHR) signal segment to be considered for automatic cardiotocographic (CTG) classification. The main idea is to evaluate a set of signal segments of different length and location based on their classification performance. For this purpo...

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Autores principales:	Fuentealba Patricio, Illanes Alfredo, Ortmeier Frank, Poudel Prabal
Formato:	article
Lenguaje:	EN
Publicado:	De Gruyter 2020
Materias:	cardiotocograph foetal heart rate signal time-varying autoregressive spectrum iceemdan Medicine R
Acceso en línea:	https://doaj.org/article/c6e30b52bc754c98996a4f65cd3a4265
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spelling	oai:doaj.org-article:c6e30b52bc754c98996a4f65cd3a42652021-12-05T14:10:43ZInvestigating an Optimal Signal Epoch Length for Cardiotocographic Classification2364-550410.1515/cdbme-2020-3132https://doaj.org/article/c6e30b52bc754c98996a4f65cd3a42652020-09-01T00:00:00Zhttps://doi.org/10.1515/cdbme-2020-3132https://doaj.org/toc/2364-5504This work focuses on investigating an optimal foetal heart rate (FHR) signal segment to be considered for automatic cardiotocographic (CTG) classification. The main idea is to evaluate a set of signal segments of different length and location based on their classification performance. For this purpose, we employ a feature extraction operation based on two signal processing techniques, such as the Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and time-varying autoregressive modelling. For each studied segment, the features are extracted and evaluated based on their performance in CTG classification. For the proposed evaluation, we make use of real CTG data extracted from the CTU-UHB database. Results show that the classification performance depends considerably on the selected FHR segment. Likewise, we have found that an optimal FHR segment for foetal welfare assessment during labour corresponds to a segment of 30 minutes long.Fuentealba PatricioIllanes AlfredoOrtmeier FrankPoudel PrabalDe Gruyterarticlecardiotocographfoetal heart rate signaltime-varying autoregressive spectrumiceemdanMedicineRENCurrent Directions in Biomedical Engineering, Vol 6, Iss 3, Pp 514-517 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	cardiotocograph foetal heart rate signal time-varying autoregressive spectrum iceemdan Medicine R
spellingShingle	cardiotocograph foetal heart rate signal time-varying autoregressive spectrum iceemdan Medicine R Fuentealba Patricio Illanes Alfredo Ortmeier Frank Poudel Prabal Investigating an Optimal Signal Epoch Length for Cardiotocographic Classification
description	This work focuses on investigating an optimal foetal heart rate (FHR) signal segment to be considered for automatic cardiotocographic (CTG) classification. The main idea is to evaluate a set of signal segments of different length and location based on their classification performance. For this purpose, we employ a feature extraction operation based on two signal processing techniques, such as the Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and time-varying autoregressive modelling. For each studied segment, the features are extracted and evaluated based on their performance in CTG classification. For the proposed evaluation, we make use of real CTG data extracted from the CTU-UHB database. Results show that the classification performance depends considerably on the selected FHR segment. Likewise, we have found that an optimal FHR segment for foetal welfare assessment during labour corresponds to a segment of 30 minutes long.
format	article
author	Fuentealba Patricio Illanes Alfredo Ortmeier Frank Poudel Prabal
author_facet	Fuentealba Patricio Illanes Alfredo Ortmeier Frank Poudel Prabal
author_sort	Fuentealba Patricio
title	Investigating an Optimal Signal Epoch Length for Cardiotocographic Classification
title_short	Investigating an Optimal Signal Epoch Length for Cardiotocographic Classification
title_full	Investigating an Optimal Signal Epoch Length for Cardiotocographic Classification
title_fullStr	Investigating an Optimal Signal Epoch Length for Cardiotocographic Classification
title_full_unstemmed	Investigating an Optimal Signal Epoch Length for Cardiotocographic Classification
title_sort	investigating an optimal signal epoch length for cardiotocographic classification
publisher	De Gruyter
publishDate	2020
url	https://doaj.org/article/c6e30b52bc754c98996a4f65cd3a4265
work_keys_str_mv	AT fuentealbapatricio investigatinganoptimalsignalepochlengthforcardiotocographicclassification AT illanesalfredo investigatinganoptimalsignalepochlengthforcardiotocographicclassification AT ortmeierfrank investigatinganoptimalsignalepochlengthforcardiotocographicclassification AT poudelprabal investigatinganoptimalsignalepochlengthforcardiotocographicclassification
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Investigating an Optimal Signal Epoch Length for Cardiotocographic Classification

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