Journal article 1147 views
24-hour variation of heart rate variability indices derived from fractional differintegration.
Clin. Phys. Funct. Imaging., Volume: 35, Issue: 1, Pages: 57 - 63
Swansea University Authors:
Michael Lewis, Melitta McNarry
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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...
Published in: | Clin. Phys. Funct. Imaging. |
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2015
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URI: | https://cronfa.swan.ac.uk/Record/cronfa16708 |
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<?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, 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.</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> |
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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<P<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<P<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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1763750496415252480 |
score |
11.022936 |