Identification and agreement of first turn point by mathematical analysis applied to heart rate, carbon dioxide output and electromyography
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Physical Therapy |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-35552013000600614 |
Resumo: | BACKGROUND: The second heart rate (HR) turn point has been extensively studied, however there are few studies determining the first HR turn point. Also, the use of mathematical and statistical models for determining changes in dynamic characteristics of physiological variables during an incremental cardiopulmonary test has been suggested. OBJECTIVES: To determine the first turn point by analysis of HR, surface electromyography (sEMG), and carbon dioxide output ( ) using two mathematical models and to compare the results to those of the visual method. METHOD: Ten sedentary middle-aged men (53.9±3.2 years old) were submitted to cardiopulmonary exercise testing on an electromagnetic cycle ergometer until exhaustion. Ventilatory variables, HR, and sEMG of the vastus lateralis were obtained in real time. Three methods were used to determine the first turn point: 1) visual analysis based on loss of parallelism between and oxygen uptake ( ); 2) the linear-linear model, based on fitting the curves to the set of data (Lin-Lin ); 3) a bi-segmental linear regression of Hinkley' s algorithm applied to HR (HMM-HR), (HMM- ), and sEMG data (HMM-RMS). RESULTS: There were no differences between workload, HR, and ventilatory variable values at the first ventilatory turn point as determined by the five studied parameters (p>0.05). The Bland-Altman plot showed an even distribution of the visual analysis method with Lin-Lin , HMM-HR, HMM-CO2, and HMM-RMS. CONCLUSION: The proposed mathematical models were effective in determining the first turn point since they detected the linear pattern change and the deflection point of , HR responses, and sEMG. |
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Brazilian Journal of Physical Therapy |
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Identification and agreement of first turn point by mathematical analysis applied to heart rate, carbon dioxide output and electromyographyphysical therapyanaerobic thresholdexercise testmathematical models BACKGROUND: The second heart rate (HR) turn point has been extensively studied, however there are few studies determining the first HR turn point. Also, the use of mathematical and statistical models for determining changes in dynamic characteristics of physiological variables during an incremental cardiopulmonary test has been suggested. OBJECTIVES: To determine the first turn point by analysis of HR, surface electromyography (sEMG), and carbon dioxide output ( ) using two mathematical models and to compare the results to those of the visual method. METHOD: Ten sedentary middle-aged men (53.9±3.2 years old) were submitted to cardiopulmonary exercise testing on an electromagnetic cycle ergometer until exhaustion. Ventilatory variables, HR, and sEMG of the vastus lateralis were obtained in real time. Three methods were used to determine the first turn point: 1) visual analysis based on loss of parallelism between and oxygen uptake ( ); 2) the linear-linear model, based on fitting the curves to the set of data (Lin-Lin ); 3) a bi-segmental linear regression of Hinkley' s algorithm applied to HR (HMM-HR), (HMM- ), and sEMG data (HMM-RMS). RESULTS: There were no differences between workload, HR, and ventilatory variable values at the first ventilatory turn point as determined by the five studied parameters (p>0.05). The Bland-Altman plot showed an even distribution of the visual analysis method with Lin-Lin , HMM-HR, HMM-CO2, and HMM-RMS. CONCLUSION: The proposed mathematical models were effective in determining the first turn point since they detected the linear pattern change and the deflection point of , HR responses, and sEMG. Associação Brasileira de Pesquisa e Pós-Graduação em Fisioterapia 2013-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-35552013000600614Brazilian Journal of Physical Therapy v.17 n.6 2013reponame:Brazilian Journal of Physical Therapyinstname:Associação Brasileira de Pesquisa e Pós-Graduação em Fisioterapia (ABRAPG-FT)instacron:ABRAPG-FT10.1590/S1413-35552012005000129info:eu-repo/semantics/openAccessZamuner,Antonio R.Catai,Aparecida M.Martins,Luiz E. B.Sakabe,Daniel I.Silva,Ester Daeng2013-12-13T00:00:00Zoai:scielo:S1413-35552013000600614Revistahttps://www.scielo.br/j/rbfis/https://old.scielo.br/oai/scielo-oai.phpcontato@rbf-bjpt.org.br||contato@rbf-bjpt.org.br1809-92461413-3555opendoar:2013-12-13T00:00Brazilian Journal of Physical Therapy - Associação Brasileira de Pesquisa e Pós-Graduação em Fisioterapia (ABRAPG-FT)false |
dc.title.none.fl_str_mv |
Identification and agreement of first turn point by mathematical analysis applied to heart rate, carbon dioxide output and electromyography |
title |
Identification and agreement of first turn point by mathematical analysis applied to heart rate, carbon dioxide output and electromyography |
spellingShingle |
Identification and agreement of first turn point by mathematical analysis applied to heart rate, carbon dioxide output and electromyography Zamuner,Antonio R. physical therapy anaerobic threshold exercise test mathematical models |
title_short |
Identification and agreement of first turn point by mathematical analysis applied to heart rate, carbon dioxide output and electromyography |
title_full |
Identification and agreement of first turn point by mathematical analysis applied to heart rate, carbon dioxide output and electromyography |
title_fullStr |
Identification and agreement of first turn point by mathematical analysis applied to heart rate, carbon dioxide output and electromyography |
title_full_unstemmed |
Identification and agreement of first turn point by mathematical analysis applied to heart rate, carbon dioxide output and electromyography |
title_sort |
Identification and agreement of first turn point by mathematical analysis applied to heart rate, carbon dioxide output and electromyography |
author |
Zamuner,Antonio R. |
author_facet |
Zamuner,Antonio R. Catai,Aparecida M. Martins,Luiz E. B. Sakabe,Daniel I. Silva,Ester Da |
author_role |
author |
author2 |
Catai,Aparecida M. Martins,Luiz E. B. Sakabe,Daniel I. Silva,Ester Da |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Zamuner,Antonio R. Catai,Aparecida M. Martins,Luiz E. B. Sakabe,Daniel I. Silva,Ester Da |
dc.subject.por.fl_str_mv |
physical therapy anaerobic threshold exercise test mathematical models |
topic |
physical therapy anaerobic threshold exercise test mathematical models |
description |
BACKGROUND: The second heart rate (HR) turn point has been extensively studied, however there are few studies determining the first HR turn point. Also, the use of mathematical and statistical models for determining changes in dynamic characteristics of physiological variables during an incremental cardiopulmonary test has been suggested. OBJECTIVES: To determine the first turn point by analysis of HR, surface electromyography (sEMG), and carbon dioxide output ( ) using two mathematical models and to compare the results to those of the visual method. METHOD: Ten sedentary middle-aged men (53.9±3.2 years old) were submitted to cardiopulmonary exercise testing on an electromagnetic cycle ergometer until exhaustion. Ventilatory variables, HR, and sEMG of the vastus lateralis were obtained in real time. Three methods were used to determine the first turn point: 1) visual analysis based on loss of parallelism between and oxygen uptake ( ); 2) the linear-linear model, based on fitting the curves to the set of data (Lin-Lin ); 3) a bi-segmental linear regression of Hinkley' s algorithm applied to HR (HMM-HR), (HMM- ), and sEMG data (HMM-RMS). RESULTS: There were no differences between workload, HR, and ventilatory variable values at the first ventilatory turn point as determined by the five studied parameters (p>0.05). The Bland-Altman plot showed an even distribution of the visual analysis method with Lin-Lin , HMM-HR, HMM-CO2, and HMM-RMS. CONCLUSION: The proposed mathematical models were effective in determining the first turn point since they detected the linear pattern change and the deflection point of , HR responses, and sEMG. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-12-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-35552013000600614 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-35552013000600614 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S1413-35552012005000129 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Associação Brasileira de Pesquisa e Pós-Graduação em Fisioterapia |
publisher.none.fl_str_mv |
Associação Brasileira de Pesquisa e Pós-Graduação em Fisioterapia |
dc.source.none.fl_str_mv |
Brazilian Journal of Physical Therapy v.17 n.6 2013 reponame:Brazilian Journal of Physical Therapy instname:Associação Brasileira de Pesquisa e Pós-Graduação em Fisioterapia (ABRAPG-FT) instacron:ABRAPG-FT |
instname_str |
Associação Brasileira de Pesquisa e Pós-Graduação em Fisioterapia (ABRAPG-FT) |
instacron_str |
ABRAPG-FT |
institution |
ABRAPG-FT |
reponame_str |
Brazilian Journal of Physical Therapy |
collection |
Brazilian Journal of Physical Therapy |
repository.name.fl_str_mv |
Brazilian Journal of Physical Therapy - Associação Brasileira de Pesquisa e Pós-Graduação em Fisioterapia (ABRAPG-FT) |
repository.mail.fl_str_mv |
contato@rbf-bjpt.org.br||contato@rbf-bjpt.org.br |
_version_ |
1754575949637091328 |