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Open AccessArticle

Extraction of Digital Cardiotocographic Signals from Digital Cardiotocographic Images: Robustness of eCTG Procedure

Department of Information Engineering, Università Politecnica delle Marche, 60121 Ancona, Italy
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Author to whom correspondence should be addressed.
For research purposes, eCTG can be obtained for free by contacting the corresponding author (Laura Burattini, [email protected]).
Electronics 2019, 8(10), 1122; https://doi.org/10.3390/electronics8101122
Received: 1 September 2019 / Revised: 24 September 2019 / Accepted: 2 October 2019 / Published: 5 October 2019
(This article belongs to the Section Circuit and Signal Processing)
A recently developed software application, eCTG, extracts cardiotocographic (CTG) signals from digital CTG images, possibly obtained by scanning paper CTG reports. The aim of this study was to evaluate eCTG robustness across varying image formats, resolution and screw. Using 552 digital CTG signals from the “CTU-UHB Intrapartum Cardiotocography Database” of Physionet, seven sets of digital CTG images were created, differing in format (.TIFF, .PNG and .JPEG), resolution (96 dpi, 300 dpi and 600 dpi) and screw (0.0°, 0.5°, and 1.0°). All created images were submitted to eCTG for CTG signals extraction. Quality of extracted signals was statistically evaluated based 1) on signal morphology, by computation of the correlation coefficient (ρ) and of the mean signal error percent (MSE%), and 2) on signal clinical content, by assessment of 18 standard CTG variables. For all sets of images, ρ was high (ρ ≥ 0.81) and MSE% was small (MSE% ≤ 2%). However, significant changes occurred in median values of four, four and five standard CTG variables in image sets with 96 dpi resolution, 0.5° screw and 1.0° screw, respectively. In conclusion, for an optimal eCTG performance, digital images should be saved in lossless formats, have a resolution of at least 300 dpi and not be affected by screw.
Keywords: cardiotocography; fetal monitoring; computerized cardiotocography; biomedical signal processing; biomedical image processing; electronic clinical applications cardiotocography; fetal monitoring; computerized cardiotocography; biomedical signal processing; biomedical image processing; electronic clinical applications
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MDPI and ACS Style

Sbrollini, A.; Brini, L.; Tillo, M.D.; Marcantoni, I.; Morettini, M.; Burattini, L. Extraction of Digital Cardiotocographic Signals from Digital Cardiotocographic Images: Robustness of eCTG Procedure. Electronics 2019, 8, 1122.

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