Chaotic global analysis of heart rate variability following power spectral adjustments during exposure to traffic noise in healthy adult women
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.15829/1560-4071-2020-3739 http://hdl.handle.net/11449/221526 |
Resumo: | Aim. Previous studies have described the substantial impact of different types of noise on the linear behaviour of heart rate variability (HRV). Yet, there are limited studies about the complexity or nonlinear dynamics of HRV during exposure to traffic noise. Here, we evaluated the complexity of HRV during traffic noise exposure via six power spectra and, when adjusted by the parameters of the Multi-Taper Method (MTM). Material and methods. We analysed 31 healthy female students between 18 and 30 years old. Subjects remained at rest, seated under spontaneous breathing for 20 minutes with an earphone turned off and then the volunteers were exposed to traffic noise through an earphone for a period of 20 minutes. The traffic noise was recorded from a busy urban street and the sound involved car, bus, trucks engineers and horn sounds (71-104 dB). Results. The results stipulate that CFP3 and CFP6 are the best metrics to distinguish the two groups. The most appropriate power spectra were, Welch and MTM. Increasing the DPSS parameter of MTM increased the performance of both CFP3 and CFP6 as mathematical markers. Adaptive was the preferred type for Thomson’s nonlinear combination method. Conclusion. CFP3 with the adaptive option for MTM, and increased DPSS is designated as the best mathematical marker on the basis of five statistical tests. the National Council for Scientific and Technological Development, an entity linked to the Ministry of Science, Technology, Innovations and Communications from Brazil (Process number 302197/2018-4). |
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Chaotic global analysis of heart rate variability following power spectral adjustments during exposure to traffic noise in healthy adult womenAutonomic nervous systemCardiovascular physiologyCardiovascular systemNoiseNoise occupationalNonlinear dynamicsAim. Previous studies have described the substantial impact of different types of noise on the linear behaviour of heart rate variability (HRV). Yet, there are limited studies about the complexity or nonlinear dynamics of HRV during exposure to traffic noise. Here, we evaluated the complexity of HRV during traffic noise exposure via six power spectra and, when adjusted by the parameters of the Multi-Taper Method (MTM). Material and methods. We analysed 31 healthy female students between 18 and 30 years old. Subjects remained at rest, seated under spontaneous breathing for 20 minutes with an earphone turned off and then the volunteers were exposed to traffic noise through an earphone for a period of 20 minutes. The traffic noise was recorded from a busy urban street and the sound involved car, bus, trucks engineers and horn sounds (71-104 dB). Results. The results stipulate that CFP3 and CFP6 are the best metrics to distinguish the two groups. The most appropriate power spectra were, Welch and MTM. Increasing the DPSS parameter of MTM increased the performance of both CFP3 and CFP6 as mathematical markers. Adaptive was the preferred type for Thomson’s nonlinear combination method. Conclusion. CFP3 with the adaptive option for MTM, and increased DPSS is designated as the best mathematical marker on the basis of five statistical tests. the National Council for Scientific and Technological Development, an entity linked to the Ministry of Science, Technology, Innovations and Communications from Brazil (Process number 302197/2018-4).Cardiorespiratory Research Group Department of Biological and Medical Sciences Faculty of Health and Life Sciences Oxford Brookes University, Headington CampusAutonomic Nervous System Center Sao Paulo State UniversitySchool of Medicine of ABCAutonomic Nervous System Center Sao Paulo State UniversityOxford Brookes UniversityUniversidade Estadual Paulista (UNESP)School of Medicine of ABCGarner, D. M. [UNESP]Alves, M. [UNESP]da Silva, B. P. [UNESP]de Alcantara Sousa, L. V.Valenti, V. E. [UNESP]2022-04-28T19:29:14Z2022-04-28T19:29:14Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article143-151http://dx.doi.org/10.15829/1560-4071-2020-3739Russian Journal of Cardiology, v. 25, n. 6, p. 143-151, 2020.2618-76201560-4071http://hdl.handle.net/11449/22152610.15829/1560-4071-2020-37392-s2.0-85088823497Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRussian Journal of Cardiologyinfo:eu-repo/semantics/openAccess2022-04-28T19:29:14Zoai:repositorio.unesp.br:11449/221526Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:35:32.600189Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Chaotic global analysis of heart rate variability following power spectral adjustments during exposure to traffic noise in healthy adult women |
title |
Chaotic global analysis of heart rate variability following power spectral adjustments during exposure to traffic noise in healthy adult women |
spellingShingle |
Chaotic global analysis of heart rate variability following power spectral adjustments during exposure to traffic noise in healthy adult women Garner, D. M. [UNESP] Autonomic nervous system Cardiovascular physiology Cardiovascular system Noise Noise occupational Nonlinear dynamics |
title_short |
Chaotic global analysis of heart rate variability following power spectral adjustments during exposure to traffic noise in healthy adult women |
title_full |
Chaotic global analysis of heart rate variability following power spectral adjustments during exposure to traffic noise in healthy adult women |
title_fullStr |
Chaotic global analysis of heart rate variability following power spectral adjustments during exposure to traffic noise in healthy adult women |
title_full_unstemmed |
Chaotic global analysis of heart rate variability following power spectral adjustments during exposure to traffic noise in healthy adult women |
title_sort |
Chaotic global analysis of heart rate variability following power spectral adjustments during exposure to traffic noise in healthy adult women |
author |
Garner, D. M. [UNESP] |
author_facet |
Garner, D. M. [UNESP] Alves, M. [UNESP] da Silva, B. P. [UNESP] de Alcantara Sousa, L. V. Valenti, V. E. [UNESP] |
author_role |
author |
author2 |
Alves, M. [UNESP] da Silva, B. P. [UNESP] de Alcantara Sousa, L. V. Valenti, V. E. [UNESP] |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Oxford Brookes University Universidade Estadual Paulista (UNESP) School of Medicine of ABC |
dc.contributor.author.fl_str_mv |
Garner, D. M. [UNESP] Alves, M. [UNESP] da Silva, B. P. [UNESP] de Alcantara Sousa, L. V. Valenti, V. E. [UNESP] |
dc.subject.por.fl_str_mv |
Autonomic nervous system Cardiovascular physiology Cardiovascular system Noise Noise occupational Nonlinear dynamics |
topic |
Autonomic nervous system Cardiovascular physiology Cardiovascular system Noise Noise occupational Nonlinear dynamics |
description |
Aim. Previous studies have described the substantial impact of different types of noise on the linear behaviour of heart rate variability (HRV). Yet, there are limited studies about the complexity or nonlinear dynamics of HRV during exposure to traffic noise. Here, we evaluated the complexity of HRV during traffic noise exposure via six power spectra and, when adjusted by the parameters of the Multi-Taper Method (MTM). Material and methods. We analysed 31 healthy female students between 18 and 30 years old. Subjects remained at rest, seated under spontaneous breathing for 20 minutes with an earphone turned off and then the volunteers were exposed to traffic noise through an earphone for a period of 20 minutes. The traffic noise was recorded from a busy urban street and the sound involved car, bus, trucks engineers and horn sounds (71-104 dB). Results. The results stipulate that CFP3 and CFP6 are the best metrics to distinguish the two groups. The most appropriate power spectra were, Welch and MTM. Increasing the DPSS parameter of MTM increased the performance of both CFP3 and CFP6 as mathematical markers. Adaptive was the preferred type for Thomson’s nonlinear combination method. Conclusion. CFP3 with the adaptive option for MTM, and increased DPSS is designated as the best mathematical marker on the basis of five statistical tests. the National Council for Scientific and Technological Development, an entity linked to the Ministry of Science, Technology, Innovations and Communications from Brazil (Process number 302197/2018-4). |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 2022-04-28T19:29:14Z 2022-04-28T19:29:14Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.15829/1560-4071-2020-3739 Russian Journal of Cardiology, v. 25, n. 6, p. 143-151, 2020. 2618-7620 1560-4071 http://hdl.handle.net/11449/221526 10.15829/1560-4071-2020-3739 2-s2.0-85088823497 |
url |
http://dx.doi.org/10.15829/1560-4071-2020-3739 http://hdl.handle.net/11449/221526 |
identifier_str_mv |
Russian Journal of Cardiology, v. 25, n. 6, p. 143-151, 2020. 2618-7620 1560-4071 10.15829/1560-4071-2020-3739 2-s2.0-85088823497 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Russian Journal of Cardiology |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
143-151 |
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 |
|
_version_ |
1808128952378589184 |