Assessment of heart rate complexity recovery from maximal exercise using recurrence quantification analysis
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/978-3-319-29922-8_8 http://hdl.handle.net/11449/173234 |
Resumo: | Recurrence Plots have been described as suitable method for nonstationary and short data analysis, however, up to date, there is no registered study using this technique to evaluate exercise and recovery, which are conditions that provide unstable and variable heart rate time series. Objectives: To analyze heart rate complexity of healthy and young subjects during recovery from maximal exercise, using RQA measurements. Methods: Twenty participants were submitted to 120 min of passive recovery assessment after exercise at 100 % of maximal velocity until exhaustion. HR and R-R intervals (RRi) were recorded during the whole process and segments containing 300 RRi were selected from the baseline period and at each 10 min of recovery to be analyzed by the Kubios HRV Analysis software. Results: At baseline, the median values of Recurrence Rate, Determinism, Entropy and Lmean were 25.1 %, 97.2 %, 2.9 % and 8.6 %, respectively. After the exercise, all these variables showed significant increase until 80 min. Then, from 90 min and onwards, no significant difference was found between recovery moments and baseline. Conclusions: The regularity of heart rate rhythm increases expressively after maximal exercise and the complexity reduces. During recovery period, these conditions gradually return to rest levels and reach recovery after 80 min. As the variables showed pre-exercise levels at a similar moment, RQA seems to be a suitable method to evaluate exercise and recovery conditions. |
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Repositório Institucional da UNESP |
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Assessment of heart rate complexity recovery from maximal exercise using recurrence quantification analysisRecurrence Plots have been described as suitable method for nonstationary and short data analysis, however, up to date, there is no registered study using this technique to evaluate exercise and recovery, which are conditions that provide unstable and variable heart rate time series. Objectives: To analyze heart rate complexity of healthy and young subjects during recovery from maximal exercise, using RQA measurements. Methods: Twenty participants were submitted to 120 min of passive recovery assessment after exercise at 100 % of maximal velocity until exhaustion. HR and R-R intervals (RRi) were recorded during the whole process and segments containing 300 RRi were selected from the baseline period and at each 10 min of recovery to be analyzed by the Kubios HRV Analysis software. Results: At baseline, the median values of Recurrence Rate, Determinism, Entropy and Lmean were 25.1 %, 97.2 %, 2.9 % and 8.6 %, respectively. After the exercise, all these variables showed significant increase until 80 min. Then, from 90 min and onwards, no significant difference was found between recovery moments and baseline. Conclusions: The regularity of heart rate rhythm increases expressively after maximal exercise and the complexity reduces. During recovery period, these conditions gradually return to rest levels and reach recovery after 80 min. As the variables showed pre-exercise levels at a similar moment, RQA seems to be a suitable method to evaluate exercise and recovery conditions.NUTECC-Transdisciplinary Nucleus of Studies on Complexity and Chaos Sao Jose do Rio Preto Medicine School (FAMERP), 5416 Brigadeiro Faria Lima Ave.UNESP-State of Sao Paulo University Physical Therapy Department, Campus of Presidente Prudente, 305 Roberto Simonsen StreetUNESP-State of Sao Paulo University Physical Therapy Department, Campus of Presidente Prudente, 305 Roberto Simonsen StreetSao Jose do Rio Preto Medicine School (FAMERP)Universidade Estadual Paulista (Unesp)Hoshi, Rosangela AkemiPastre, Carlos Marcelo [UNESP]Vanderlei, Luiz Carlos Marques [UNESP]Godoy, Moacir Fernandes2018-12-11T17:04:15Z2018-12-11T17:04:15Z2016-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject157-168http://dx.doi.org/10.1007/978-3-319-29922-8_8Springer Proceedings in Physics, v. 180, p. 157-168.1867-49410930-8989http://hdl.handle.net/11449/17323410.1007/978-3-319-29922-8_82-s2.0-849786573915860525135106995Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengSpringer Proceedings in Physics0,156info:eu-repo/semantics/openAccess2024-06-18T18:45:24Zoai:repositorio.unesp.br:11449/173234Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:34:46.942870Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Assessment of heart rate complexity recovery from maximal exercise using recurrence quantification analysis |
title |
Assessment of heart rate complexity recovery from maximal exercise using recurrence quantification analysis |
spellingShingle |
Assessment of heart rate complexity recovery from maximal exercise using recurrence quantification analysis Hoshi, Rosangela Akemi |
title_short |
Assessment of heart rate complexity recovery from maximal exercise using recurrence quantification analysis |
title_full |
Assessment of heart rate complexity recovery from maximal exercise using recurrence quantification analysis |
title_fullStr |
Assessment of heart rate complexity recovery from maximal exercise using recurrence quantification analysis |
title_full_unstemmed |
Assessment of heart rate complexity recovery from maximal exercise using recurrence quantification analysis |
title_sort |
Assessment of heart rate complexity recovery from maximal exercise using recurrence quantification analysis |
author |
Hoshi, Rosangela Akemi |
author_facet |
Hoshi, Rosangela Akemi Pastre, Carlos Marcelo [UNESP] Vanderlei, Luiz Carlos Marques [UNESP] Godoy, Moacir Fernandes |
author_role |
author |
author2 |
Pastre, Carlos Marcelo [UNESP] Vanderlei, Luiz Carlos Marques [UNESP] Godoy, Moacir Fernandes |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Sao Jose do Rio Preto Medicine School (FAMERP) Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Hoshi, Rosangela Akemi Pastre, Carlos Marcelo [UNESP] Vanderlei, Luiz Carlos Marques [UNESP] Godoy, Moacir Fernandes |
description |
Recurrence Plots have been described as suitable method for nonstationary and short data analysis, however, up to date, there is no registered study using this technique to evaluate exercise and recovery, which are conditions that provide unstable and variable heart rate time series. Objectives: To analyze heart rate complexity of healthy and young subjects during recovery from maximal exercise, using RQA measurements. Methods: Twenty participants were submitted to 120 min of passive recovery assessment after exercise at 100 % of maximal velocity until exhaustion. HR and R-R intervals (RRi) were recorded during the whole process and segments containing 300 RRi were selected from the baseline period and at each 10 min of recovery to be analyzed by the Kubios HRV Analysis software. Results: At baseline, the median values of Recurrence Rate, Determinism, Entropy and Lmean were 25.1 %, 97.2 %, 2.9 % and 8.6 %, respectively. After the exercise, all these variables showed significant increase until 80 min. Then, from 90 min and onwards, no significant difference was found between recovery moments and baseline. Conclusions: The regularity of heart rate rhythm increases expressively after maximal exercise and the complexity reduces. During recovery period, these conditions gradually return to rest levels and reach recovery after 80 min. As the variables showed pre-exercise levels at a similar moment, RQA seems to be a suitable method to evaluate exercise and recovery conditions. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-01-01 2018-12-11T17:04:15Z 2018-12-11T17:04:15Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1007/978-3-319-29922-8_8 Springer Proceedings in Physics, v. 180, p. 157-168. 1867-4941 0930-8989 http://hdl.handle.net/11449/173234 10.1007/978-3-319-29922-8_8 2-s2.0-84978657391 5860525135106995 |
url |
http://dx.doi.org/10.1007/978-3-319-29922-8_8 http://hdl.handle.net/11449/173234 |
identifier_str_mv |
Springer Proceedings in Physics, v. 180, p. 157-168. 1867-4941 0930-8989 10.1007/978-3-319-29922-8_8 2-s2.0-84978657391 5860525135106995 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Springer Proceedings in Physics 0,156 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
157-168 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
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1808128674197667840 |