Cargando…

Noninvasive Fetal Electrocardiography Part I: Pan-Tompkins' Algorithm Adaptation to Fetal R-peak Identification

BACKGROUND: Indirect fetal electrocardiography is preferable to direct fetal electrocardiography because of being noninvasive and is applicable also during the end of pregnancy, besides labor. Still, the former is strongly affected by noise so that even R-peak detection (which is essential for fetal...

Descripción completa

Detalles Bibliográficos
Autores principales: Agostinelli, Angela, Marcantoni, Ilaria, Moretti, Elisa, Sbrollini, Agnese, Fioretti, Sandro, Di Nardo, Francesco, Burattini, Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Open 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5418929/
https://www.ncbi.nlm.nih.gov/pubmed/28567128
http://dx.doi.org/10.2174/1874120701711010017
_version_ 1783234145740128256
author Agostinelli, Angela
Marcantoni, Ilaria
Moretti, Elisa
Sbrollini, Agnese
Fioretti, Sandro
Di Nardo, Francesco
Burattini, Laura
author_facet Agostinelli, Angela
Marcantoni, Ilaria
Moretti, Elisa
Sbrollini, Agnese
Fioretti, Sandro
Di Nardo, Francesco
Burattini, Laura
author_sort Agostinelli, Angela
collection PubMed
description BACKGROUND: Indirect fetal electrocardiography is preferable to direct fetal electrocardiography because of being noninvasive and is applicable also during the end of pregnancy, besides labor. Still, the former is strongly affected by noise so that even R-peak detection (which is essential for fetal heart-rate evaluations and subsequent processing procedures) is challenging. Some fetal studies have applied the Pan-Tompkins’ algorithm that, however, was originally designed for adult applications. Thus, this work evaluated the Pan-Tompkins’ algorithm suitability for fetal applications, and proposed fetal adjustments and optimizations to improve it. METHOD: Both Pan-Tompkins’ algorithm and its improved version were applied to the “Abdominal and Direct Fetal Electrocardiogram Database” and to the “Noninvasive Fetal Electrocardiography Database” of Physionet. R-peak detection accuracy was quantified by computation of positive-predictive value, sensitivity and F1 score. RESULTS: When applied to “Abdominal and Direct Fetal Electrocardiogram Database”, the accuracy of the improved fetal Pan-Tompkins’ algorithm was significantly higher than the standard (positive-predictive value: 0.94 vs. 0.79; sensitivity: 0.95 vs. 0.80; F1 score: 0.94 vs. 0.79; P<0.05 in all cases) on indirect fetal electrocardiograms, whereas both methods performed similarly on direct fetal electrocardiograms (positive-predictive value, sensitivity and F1 score all close to 1). Improved fetal Pan-Tompkins’ algorithm was found to be superior to the standard also when applied to “Noninvasive Fetal Electrocardiography Database” (positive-predictive value: 0.68 vs. 0.55, P<0.05; sensitivity: 0.56 vs. 0.46, P=0.23; F1 score: 0.60 vs. 0.47, P=0.11). CONCLUSION: In indirect fetal electrocardiographic applications, improved fetal Pan-Tompkins’ algorithm is to be preferred over the standard, since it provides higher R-peak detection accuracy for heart-rate evaluations and subsequent processing.
format Online
Article
Text
id pubmed-5418929
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Bentham Open
record_format MEDLINE/PubMed
spelling pubmed-54189292017-05-31 Noninvasive Fetal Electrocardiography Part I: Pan-Tompkins' Algorithm Adaptation to Fetal R-peak Identification Agostinelli, Angela Marcantoni, Ilaria Moretti, Elisa Sbrollini, Agnese Fioretti, Sandro Di Nardo, Francesco Burattini, Laura Open Biomed Eng J Article BACKGROUND: Indirect fetal electrocardiography is preferable to direct fetal electrocardiography because of being noninvasive and is applicable also during the end of pregnancy, besides labor. Still, the former is strongly affected by noise so that even R-peak detection (which is essential for fetal heart-rate evaluations and subsequent processing procedures) is challenging. Some fetal studies have applied the Pan-Tompkins’ algorithm that, however, was originally designed for adult applications. Thus, this work evaluated the Pan-Tompkins’ algorithm suitability for fetal applications, and proposed fetal adjustments and optimizations to improve it. METHOD: Both Pan-Tompkins’ algorithm and its improved version were applied to the “Abdominal and Direct Fetal Electrocardiogram Database” and to the “Noninvasive Fetal Electrocardiography Database” of Physionet. R-peak detection accuracy was quantified by computation of positive-predictive value, sensitivity and F1 score. RESULTS: When applied to “Abdominal and Direct Fetal Electrocardiogram Database”, the accuracy of the improved fetal Pan-Tompkins’ algorithm was significantly higher than the standard (positive-predictive value: 0.94 vs. 0.79; sensitivity: 0.95 vs. 0.80; F1 score: 0.94 vs. 0.79; P<0.05 in all cases) on indirect fetal electrocardiograms, whereas both methods performed similarly on direct fetal electrocardiograms (positive-predictive value, sensitivity and F1 score all close to 1). Improved fetal Pan-Tompkins’ algorithm was found to be superior to the standard also when applied to “Noninvasive Fetal Electrocardiography Database” (positive-predictive value: 0.68 vs. 0.55, P<0.05; sensitivity: 0.56 vs. 0.46, P=0.23; F1 score: 0.60 vs. 0.47, P=0.11). CONCLUSION: In indirect fetal electrocardiographic applications, improved fetal Pan-Tompkins’ algorithm is to be preferred over the standard, since it provides higher R-peak detection accuracy for heart-rate evaluations and subsequent processing. Bentham Open 2017-03-31 /pmc/articles/PMC5418929/ /pubmed/28567128 http://dx.doi.org/10.2174/1874120701711010017 Text en © 2017 Agostinelli et al. https://creativecommons.org/licenses/by/4.0/legalcode This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Article
Agostinelli, Angela
Marcantoni, Ilaria
Moretti, Elisa
Sbrollini, Agnese
Fioretti, Sandro
Di Nardo, Francesco
Burattini, Laura
Noninvasive Fetal Electrocardiography Part I: Pan-Tompkins' Algorithm Adaptation to Fetal R-peak Identification
title Noninvasive Fetal Electrocardiography Part I: Pan-Tompkins' Algorithm Adaptation to Fetal R-peak Identification
title_full Noninvasive Fetal Electrocardiography Part I: Pan-Tompkins' Algorithm Adaptation to Fetal R-peak Identification
title_fullStr Noninvasive Fetal Electrocardiography Part I: Pan-Tompkins' Algorithm Adaptation to Fetal R-peak Identification
title_full_unstemmed Noninvasive Fetal Electrocardiography Part I: Pan-Tompkins' Algorithm Adaptation to Fetal R-peak Identification
title_short Noninvasive Fetal Electrocardiography Part I: Pan-Tompkins' Algorithm Adaptation to Fetal R-peak Identification
title_sort noninvasive fetal electrocardiography part i: pan-tompkins' algorithm adaptation to fetal r-peak identification
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5418929/
https://www.ncbi.nlm.nih.gov/pubmed/28567128
http://dx.doi.org/10.2174/1874120701711010017
work_keys_str_mv AT agostinelliangela noninvasivefetalelectrocardiographypartipantompkinsalgorithmadaptationtofetalrpeakidentification
AT marcantoniilaria noninvasivefetalelectrocardiographypartipantompkinsalgorithmadaptationtofetalrpeakidentification
AT morettielisa noninvasivefetalelectrocardiographypartipantompkinsalgorithmadaptationtofetalrpeakidentification
AT sbrolliniagnese noninvasivefetalelectrocardiographypartipantompkinsalgorithmadaptationtofetalrpeakidentification
AT fiorettisandro noninvasivefetalelectrocardiographypartipantompkinsalgorithmadaptationtofetalrpeakidentification
AT dinardofrancesco noninvasivefetalelectrocardiographypartipantompkinsalgorithmadaptationtofetalrpeakidentification
AT burattinilaura noninvasivefetalelectrocardiographypartipantompkinsalgorithmadaptationtofetalrpeakidentification