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A refined method of quantifying deceleration capacity index for heart rate variability analysis
BACKGROUND: Phase-rectified signal averaging (PRSA) was often applied to assess the cardiac vagal modulation. Despite its broad use, this method suffers from the confounding effects of anomalous variants of sinus rhythm. This study aimed to improve the original PRSA method in deceleration capacity (...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6299532/ https://www.ncbi.nlm.nih.gov/pubmed/30563515 http://dx.doi.org/10.1186/s12938-018-0618-x |
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author | Liu, Hongyun Zhan, Ping Shi, Jinlong Wang, Guojing Wang, Buqing Wang, Weidong |
author_facet | Liu, Hongyun Zhan, Ping Shi, Jinlong Wang, Guojing Wang, Buqing Wang, Weidong |
author_sort | Liu, Hongyun |
collection | PubMed |
description | BACKGROUND: Phase-rectified signal averaging (PRSA) was often applied to assess the cardiac vagal modulation. Despite its broad use, this method suffers from the confounding effects of anomalous variants of sinus rhythm. This study aimed to improve the original PRSA method in deceleration capacity (DC) quantification. METHODS: The refined deceleration capacity (DC(ref)) was calculated by excluding from non-vagally mediated abnormal variants of sinus rhythms. Holter recordings from 202 healthy subjects and 51 patients with end-stage renal disease (ESRD) have been used for validity. The DC(ref) was compared to original DC (DC(org)) by the area under receiver operating characteristic curve. RESULTS: Experimental results demonstrate that the original and refined DCs calculated from 24-h, 2-h, and 30-min Holter recordings are significantly lower in patients with ESRD than those in the healthy group. In receiver operating characteristic curve analysis, the DC(ref) provides better performance than the DC(org) in distinguishing between the patients with ESRD and healthy control subjects. Furthermore, the refined PRSA technique enhances the low frequency and attenuates high frequency components for spectral analysis in ESRD patients. CONCLUSIONS: The DC(ref) appears to reduce the influence of non-vagally mediated abnormal variants of sinus rhythm and highlighting the pathological influence. DC(ref), especially assessed from short-term electrocardiography recordings, may be complementary to existing autonomic function assessment, risk stratification, and efficacy prediction strategies. |
format | Online Article Text |
id | pubmed-6299532 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62995322018-12-20 A refined method of quantifying deceleration capacity index for heart rate variability analysis Liu, Hongyun Zhan, Ping Shi, Jinlong Wang, Guojing Wang, Buqing Wang, Weidong Biomed Eng Online Research BACKGROUND: Phase-rectified signal averaging (PRSA) was often applied to assess the cardiac vagal modulation. Despite its broad use, this method suffers from the confounding effects of anomalous variants of sinus rhythm. This study aimed to improve the original PRSA method in deceleration capacity (DC) quantification. METHODS: The refined deceleration capacity (DC(ref)) was calculated by excluding from non-vagally mediated abnormal variants of sinus rhythms. Holter recordings from 202 healthy subjects and 51 patients with end-stage renal disease (ESRD) have been used for validity. The DC(ref) was compared to original DC (DC(org)) by the area under receiver operating characteristic curve. RESULTS: Experimental results demonstrate that the original and refined DCs calculated from 24-h, 2-h, and 30-min Holter recordings are significantly lower in patients with ESRD than those in the healthy group. In receiver operating characteristic curve analysis, the DC(ref) provides better performance than the DC(org) in distinguishing between the patients with ESRD and healthy control subjects. Furthermore, the refined PRSA technique enhances the low frequency and attenuates high frequency components for spectral analysis in ESRD patients. CONCLUSIONS: The DC(ref) appears to reduce the influence of non-vagally mediated abnormal variants of sinus rhythm and highlighting the pathological influence. DC(ref), especially assessed from short-term electrocardiography recordings, may be complementary to existing autonomic function assessment, risk stratification, and efficacy prediction strategies. BioMed Central 2018-12-18 /pmc/articles/PMC6299532/ /pubmed/30563515 http://dx.doi.org/10.1186/s12938-018-0618-x Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Liu, Hongyun Zhan, Ping Shi, Jinlong Wang, Guojing Wang, Buqing Wang, Weidong A refined method of quantifying deceleration capacity index for heart rate variability analysis |
title | A refined method of quantifying deceleration capacity index for heart rate variability analysis |
title_full | A refined method of quantifying deceleration capacity index for heart rate variability analysis |
title_fullStr | A refined method of quantifying deceleration capacity index for heart rate variability analysis |
title_full_unstemmed | A refined method of quantifying deceleration capacity index for heart rate variability analysis |
title_short | A refined method of quantifying deceleration capacity index for heart rate variability analysis |
title_sort | refined method of quantifying deceleration capacity index for heart rate variability analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6299532/ https://www.ncbi.nlm.nih.gov/pubmed/30563515 http://dx.doi.org/10.1186/s12938-018-0618-x |
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