Extraction of Digital Cardiotocographic Signals from Digital Cardiotocographic Images: Robustness of eCTG Procedure
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...
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doaj-35f258b521b944899dbe2add217b90d82020-11-25T01:27:37ZengMDPI AGElectronics2079-92922019-10-01810112210.3390/electronics8101122electronics8101122Extraction of Digital Cardiotocographic Signals from Digital Cardiotocographic Images: Robustness of eCTG ProcedureAgnese Sbrollini0Lucia Brini1Maria Di Tillo2Ilaria Marcantoni3Micaela Morettini4Laura Burattini5Department of Information Engineering, Università Politecnica delle Marche, 60121 Ancona, ItalyDepartment of Information Engineering, Università Politecnica delle Marche, 60121 Ancona, ItalyDepartment of Information Engineering, Università Politecnica delle Marche, 60121 Ancona, ItalyDepartment of Information Engineering, Università Politecnica delle Marche, 60121 Ancona, ItalyDepartment of Information Engineering, Università Politecnica delle Marche, 60121 Ancona, ItalyDepartment of Information Engineering, Università Politecnica delle Marche, 60121 Ancona, ItalyA 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.https://www.mdpi.com/2079-9292/8/10/1122cardiotocographyfetal monitoringcomputerized cardiotocographybiomedical signal processingbiomedical image processingelectronic clinical applications |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Agnese Sbrollini Lucia Brini Maria Di Tillo Ilaria Marcantoni Micaela Morettini Laura Burattini |
spellingShingle |
Agnese Sbrollini Lucia Brini Maria Di Tillo Ilaria Marcantoni Micaela Morettini Laura Burattini Extraction of Digital Cardiotocographic Signals from Digital Cardiotocographic Images: Robustness of eCTG Procedure Electronics cardiotocography fetal monitoring computerized cardiotocography biomedical signal processing biomedical image processing electronic clinical applications |
author_facet |
Agnese Sbrollini Lucia Brini Maria Di Tillo Ilaria Marcantoni Micaela Morettini Laura Burattini |
author_sort |
Agnese Sbrollini |
title |
Extraction of Digital Cardiotocographic Signals from Digital Cardiotocographic Images: Robustness of eCTG Procedure |
title_short |
Extraction of Digital Cardiotocographic Signals from Digital Cardiotocographic Images: Robustness of eCTG Procedure |
title_full |
Extraction of Digital Cardiotocographic Signals from Digital Cardiotocographic Images: Robustness of eCTG Procedure |
title_fullStr |
Extraction of Digital Cardiotocographic Signals from Digital Cardiotocographic Images: Robustness of eCTG Procedure |
title_full_unstemmed |
Extraction of Digital Cardiotocographic Signals from Digital Cardiotocographic Images: Robustness of eCTG Procedure |
title_sort |
extraction of digital cardiotocographic signals from digital cardiotocographic images: robustness of ectg procedure |
publisher |
MDPI AG |
series |
Electronics |
issn |
2079-9292 |
publishDate |
2019-10-01 |
description |
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. |
topic |
cardiotocography fetal monitoring computerized cardiotocography biomedical signal processing biomedical image processing electronic clinical applications |
url |
https://www.mdpi.com/2079-9292/8/10/1122 |
work_keys_str_mv |
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