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A new approach for analysis of heart rate variability and QT variability in long-term ECG recording
BACKGROUND AND PURPOSE: With the emergence of long-term electrocardiogram (ECG) recordings that extend several days beyond the typical 24–48 h, the development of new tools to measure heart rate variability (HRV) and QT variability is needed to utilize the full potential of such extra-long-term ECG...
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/PMC5932763/ https://www.ncbi.nlm.nih.gov/pubmed/29720178 http://dx.doi.org/10.1186/s12938-018-0490-8 |
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author | Wu, Hau-Tieng Soliman, Elsayed Z. |
author_facet | Wu, Hau-Tieng Soliman, Elsayed Z. |
author_sort | Wu, Hau-Tieng |
collection | PubMed |
description | BACKGROUND AND PURPOSE: With the emergence of long-term electrocardiogram (ECG) recordings that extend several days beyond the typical 24–48 h, the development of new tools to measure heart rate variability (HRV) and QT variability is needed to utilize the full potential of such extra-long-term ECG recordings. METHODS: In this report, we propose a new nonlinear time–frequency analysis approach, the concentration of frequency and time (ConceFT), to study the HRV QT variability from extra-long-term ECG recordings. This approach is a generalization of Short Time Fourier Transform and Continuous Wavelet Transform approaches. RESULTS: As proof of concept, we used 14-day ECG recordings to show that the ConceFT provides a sharpened and stabilized spectrogram by taking the phase information of the time series and the multitaper technique into account. CONCLUSION: The ConceFT has the potential to provide a sharpened and stabilized spectrogram for the heart rate variability and QT variability in 14-day ECG recordings. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12938-018-0490-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5932763 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-59327632018-05-09 A new approach for analysis of heart rate variability and QT variability in long-term ECG recording Wu, Hau-Tieng Soliman, Elsayed Z. Biomed Eng Online Research BACKGROUND AND PURPOSE: With the emergence of long-term electrocardiogram (ECG) recordings that extend several days beyond the typical 24–48 h, the development of new tools to measure heart rate variability (HRV) and QT variability is needed to utilize the full potential of such extra-long-term ECG recordings. METHODS: In this report, we propose a new nonlinear time–frequency analysis approach, the concentration of frequency and time (ConceFT), to study the HRV QT variability from extra-long-term ECG recordings. This approach is a generalization of Short Time Fourier Transform and Continuous Wavelet Transform approaches. RESULTS: As proof of concept, we used 14-day ECG recordings to show that the ConceFT provides a sharpened and stabilized spectrogram by taking the phase information of the time series and the multitaper technique into account. CONCLUSION: The ConceFT has the potential to provide a sharpened and stabilized spectrogram for the heart rate variability and QT variability in 14-day ECG recordings. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12938-018-0490-8) contains supplementary material, which is available to authorized users. BioMed Central 2018-05-03 /pmc/articles/PMC5932763/ /pubmed/29720178 http://dx.doi.org/10.1186/s12938-018-0490-8 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 Wu, Hau-Tieng Soliman, Elsayed Z. A new approach for analysis of heart rate variability and QT variability in long-term ECG recording |
title | A new approach for analysis of heart rate variability and QT variability in long-term ECG recording |
title_full | A new approach for analysis of heart rate variability and QT variability in long-term ECG recording |
title_fullStr | A new approach for analysis of heart rate variability and QT variability in long-term ECG recording |
title_full_unstemmed | A new approach for analysis of heart rate variability and QT variability in long-term ECG recording |
title_short | A new approach for analysis of heart rate variability and QT variability in long-term ECG recording |
title_sort | new approach for analysis of heart rate variability and qt variability in long-term ecg recording |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5932763/ https://www.ncbi.nlm.nih.gov/pubmed/29720178 http://dx.doi.org/10.1186/s12938-018-0490-8 |
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