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24-hour variation of heart rate variability indices derived from fractional differintegration.

Michael Lewis, Melitta McNarry Orcid Logo

Clin. Phys. Funct. Imaging., Volume: 35, Issue: 1, Pages: 57 - 63

Swansea University Authors: Michael Lewis, Melitta McNarry Orcid Logo

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DOI (Published version): 10.1111/cpf.12126

Abstract

Assuming that RR time-series behave as a fractionally differintegrated Gaussian process, García-González et al. (2003) recently proposed new indices for quantifying variability and structure in RR data. One of these was the ‘fractional noise quantifier’ (fnQ), measuring the departure of an RR time-s...

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Published in: Clin. Phys. Funct. Imaging.
Published: 2015
URI: https://cronfa.swan.ac.uk/Record/cronfa16708
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fullrecord <?xml version="1.0"?><rfc1807><datestamp>2019-03-13T16:42:45.4649889</datestamp><bib-version>v2</bib-version><id>16708</id><entry>2013-12-20</entry><title>24-hour variation of heart rate variability indices derived from fractional differintegration.</title><swanseaauthors><author><sid>b59c8f5c056bac7e6995385f22ad1639</sid><firstname>Michael</firstname><surname>Lewis</surname><name>Michael Lewis</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>062f5697ff59f004bc8c713955988398</sid><ORCID>0000-0003-0813-7477</ORCID><firstname>Melitta</firstname><surname>McNarry</surname><name>Melitta McNarry</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2013-12-20</date><deptcode>FGSEN</deptcode><abstract>Assuming that RR time-series behave as a fractionally differintegrated Gaussian process, Garc&#xED;a-Gonz&#xE1;lez et al. (2003) recently proposed new indices for quantifying variability and structure in RR data. One of these was the &#x2018;fractional noise quantifier&#x2019; (fnQ), measuring the departure of an RR time-series from a monofractal structure (i.e. a measure of its multifractality). Sixty-nine participants (aged = 34&#xB7;5 &#xB1; 12&#xB7;4 years, body mass index (BMI) = 23&#xB7;9 &#xB1; 2&#xB7;9 kg m&#x2212;2, maximal oxygen uptake rate (inline imageO2peak) = 42&#xB7;4 &#xB1; 10&#xB7;9 ml min&#x2212;1 kg&#x2212;1, 39 males) provided continuous beat-to-beat ECG recordings for a 24-h period. Fractional differintegration was used to quantify fnQ, and heart rate variability was calculated in the time domain. All variables were evaluated during consecutive 1-h periods and also during four 6-h blocks corresponding to morning, afternoon, evening and night periods. Apart from RR, circadian trends in all variables were independent of gender (P = 0&#xB7;11&#x2013;0&#xB7;59). Apart from fnQ, all variables exhibited circadian variation (0&#xB7;0005&amp;#60;P&amp;#60;0&#xB7;012). Although fnQ was statistically uniform during the 24-h period, it showed a trend towards elevated values during evening and night. The main finding of this study was that fnQ was elevated by around 10% during the evening and night, although this was not statistically significant. This suggests that the structure of RR time-series in healthy individuals is most strongly &#x2018;multifractal&#x2019; during evening and night periods. fnQ appears to be a plausible surrogate measure of multifractality in RR time-series.</abstract><type>Journal Article</type><journal>Clin. Phys. Funct. Imaging.</journal><volume>35</volume><journalNumber>1</journalNumber><paginationStart>57</paginationStart><paginationEnd>63</paginationEnd><publisher/><keywords/><publishedDay>31</publishedDay><publishedMonth>1</publishedMonth><publishedYear>2015</publishedYear><publishedDate>2015-01-31</publishedDate><doi>10.1111/cpf.12126</doi><url/><notes/><college>COLLEGE NANME</college><department>Science and Engineering - Faculty</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>FGSEN</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2019-03-13T16:42:45.4649889</lastEdited><Created>2013-12-20T09:54:07.1637713</Created><authors><author><firstname>Michael</firstname><surname>Lewis</surname><order>1</order></author><author><firstname>Melitta</firstname><surname>McNarry</surname><orcid>0000-0003-0813-7477</orcid><order>2</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 2019-03-13T16:42:45.4649889 v2 16708 2013-12-20 24-hour variation of heart rate variability indices derived from fractional differintegration. b59c8f5c056bac7e6995385f22ad1639 Michael Lewis Michael Lewis true false 062f5697ff59f004bc8c713955988398 0000-0003-0813-7477 Melitta McNarry Melitta McNarry true false 2013-12-20 FGSEN Assuming that RR time-series behave as a fractionally differintegrated Gaussian process, García-González et al. (2003) recently proposed new indices for quantifying variability and structure in RR data. One of these was the ‘fractional noise quantifier’ (fnQ), measuring the departure of an RR time-series from a monofractal structure (i.e. a measure of its multifractality). Sixty-nine participants (aged = 34·5 ± 12·4 years, body mass index (BMI) = 23·9 ± 2·9 kg m−2, maximal oxygen uptake rate (inline imageO2peak) = 42·4 ± 10·9 ml min−1 kg−1, 39 males) provided continuous beat-to-beat ECG recordings for a 24-h period. Fractional differintegration was used to quantify fnQ, and heart rate variability was calculated in the time domain. All variables were evaluated during consecutive 1-h periods and also during four 6-h blocks corresponding to morning, afternoon, evening and night periods. Apart from RR, circadian trends in all variables were independent of gender (P = 0·11–0·59). Apart from fnQ, all variables exhibited circadian variation (0·0005&#60;P&#60;0·012). Although fnQ was statistically uniform during the 24-h period, it showed a trend towards elevated values during evening and night. The main finding of this study was that fnQ was elevated by around 10% during the evening and night, although this was not statistically significant. This suggests that the structure of RR time-series in healthy individuals is most strongly ‘multifractal’ during evening and night periods. fnQ appears to be a plausible surrogate measure of multifractality in RR time-series. Journal Article Clin. Phys. Funct. Imaging. 35 1 57 63 31 1 2015 2015-01-31 10.1111/cpf.12126 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University 2019-03-13T16:42:45.4649889 2013-12-20T09:54:07.1637713 Michael Lewis 1 Melitta McNarry 0000-0003-0813-7477 2
title 24-hour variation of heart rate variability indices derived from fractional differintegration.
spellingShingle 24-hour variation of heart rate variability indices derived from fractional differintegration.
Michael Lewis
Melitta McNarry
title_short 24-hour variation of heart rate variability indices derived from fractional differintegration.
title_full 24-hour variation of heart rate variability indices derived from fractional differintegration.
title_fullStr 24-hour variation of heart rate variability indices derived from fractional differintegration.
title_full_unstemmed 24-hour variation of heart rate variability indices derived from fractional differintegration.
title_sort 24-hour variation of heart rate variability indices derived from fractional differintegration.
author_id_str_mv b59c8f5c056bac7e6995385f22ad1639
062f5697ff59f004bc8c713955988398
author_id_fullname_str_mv b59c8f5c056bac7e6995385f22ad1639_***_Michael Lewis
062f5697ff59f004bc8c713955988398_***_Melitta McNarry
author Michael Lewis
Melitta McNarry
author2 Michael Lewis
Melitta McNarry
format Journal article
container_title Clin. Phys. Funct. Imaging.
container_volume 35
container_issue 1
container_start_page 57
publishDate 2015
institution Swansea University
doi_str_mv 10.1111/cpf.12126
document_store_str 0
active_str 0
description Assuming that RR time-series behave as a fractionally differintegrated Gaussian process, García-González et al. (2003) recently proposed new indices for quantifying variability and structure in RR data. One of these was the ‘fractional noise quantifier’ (fnQ), measuring the departure of an RR time-series from a monofractal structure (i.e. a measure of its multifractality). Sixty-nine participants (aged = 34·5 ± 12·4 years, body mass index (BMI) = 23·9 ± 2·9 kg m−2, maximal oxygen uptake rate (inline imageO2peak) = 42·4 ± 10·9 ml min−1 kg−1, 39 males) provided continuous beat-to-beat ECG recordings for a 24-h period. Fractional differintegration was used to quantify fnQ, and heart rate variability was calculated in the time domain. All variables were evaluated during consecutive 1-h periods and also during four 6-h blocks corresponding to morning, afternoon, evening and night periods. Apart from RR, circadian trends in all variables were independent of gender (P = 0·11–0·59). Apart from fnQ, all variables exhibited circadian variation (0·0005&#60;P&#60;0·012). Although fnQ was statistically uniform during the 24-h period, it showed a trend towards elevated values during evening and night. The main finding of this study was that fnQ was elevated by around 10% during the evening and night, although this was not statistically significant. This suggests that the structure of RR time-series in healthy individuals is most strongly ‘multifractal’ during evening and night periods. fnQ appears to be a plausible surrogate measure of multifractality in RR time-series.
published_date 2015-01-31T03:19:08Z
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score 11.016392

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