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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Bibliographic Details
Published in:Current directions in biomedical engineering 2020-09, Vol.6 (3), p.514-517
Main Authors: Fuentealba, Patricio, Illanes, Alfredo, Ortmeier, Frank, Poudel, Prabal
Format: Article
Language:English
Subjects:
Cardiotocograph
Foetal heart rate signal
ICEEMDAN
Time-varying autoregressive spectrum
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Summary: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.
ISSN:2364-5504
2364-5504
DOI:10.1515/cdbme-2020-3132