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...
Autores principales: | , , , , , , |
---|---|
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 |