Chaotic global analysis of heart rate variability following power spectral adjustments during exposure to traffic noise in healthy adult women

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Autor(es): dc.contributorOxford Brookes University-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorSchool of Medicine of ABC-
Autor(es): dc.creatorGarner, D. M. [UNESP]-
Autor(es): dc.creatorAlves, M. [UNESP]-
Autor(es): dc.creatorda Silva, B. P. [UNESP]-
Autor(es): dc.creatorde Alcantara Sousa, L. V.-
Autor(es): dc.creatorValenti, V. E. [UNESP]-
Data de aceite: dc.date.accessioned2022-08-04T22:08:50Z-
Data de disponibilização: dc.date.available2022-08-04T22:08:50Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2019-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.15829/1560-4071-2020-3739-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/221526-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/221526-
Descrição: dc.descriptionAim. 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).-
Descrição: dc.descriptionCardiorespiratory Research Group Department of Biological and Medical Sciences Faculty of Health and Life Sciences Oxford Brookes University, Headington Campus-
Descrição: dc.descriptionAutonomic Nervous System Center Sao Paulo State University-
Descrição: dc.descriptionSchool of Medicine of ABC-
Descrição: dc.descriptionAutonomic Nervous System Center Sao Paulo State University-
Formato: dc.format143-151-
Idioma: dc.languageen-
Relação: dc.relationRussian Journal of Cardiology-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectAutonomic nervous system-
Palavras-chave: dc.subjectCardiovascular physiology-
Palavras-chave: dc.subjectCardiovascular system-
Palavras-chave: dc.subjectNoise-
Palavras-chave: dc.subjectNoise occupational-
Palavras-chave: dc.subjectNonlinear dynamics-
Título: dc.titleChaotic global analysis of heart rate variability following power spectral adjustments during exposure to traffic noise in healthy adult women-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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