Removal of respiratory influences from heart rate during emotional stress

Heart rate variability (HRV) has been proposed as an indicator of stress. However, respiratory changes affect the spectral content of the HRV, resulting in a misleading estimation of stress, especially when the respiratory rate falls into the classical low frequency band. To overcome this limitation...

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Autores Principales: Varon, Carolina, Lazaro, Jesús, Hernando, alberto, Van Huffel, Sabine, Bailon, Raquel, Caicedo Dorado, Alexander
Formato: Artículo (Article)
Lenguaje:Inglés (English)
Publicado: IEEE 2017
Materias:
Acceso en línea:https://repository.urosario.edu.co/handle/10336/26880
https://doi.org/10.22489/CinC.2017.264-160
id ir-10336-26880
recordtype dspace
spelling ir-10336-268802022-05-02T12:37:13Z Removal of respiratory influences from heart rate during emotional stress Eliminación de las influencias respiratorias de la frecuencia cardíaca durante el estrés emocional Varon, Carolina Lazaro, Jesús Hernando, alberto Van Huffel, Sabine Bailon, Raquel Caicedo Dorado, Alexander Classical HRV analysis Heart rate variability (HRV) has been proposed as an indicator of stress. However, respiratory changes affect the spectral content of the HRV, resulting in a misleading estimation of stress, especially when the respiratory rate falls into the classical low frequency band. To overcome this limitation of the classical HRV analysis, this study decomposes the HRV signal, recorded during different phases of acute emotional stress, into two components using orthogonal subspace projections (OSP). One component describes all linear respiratory influences, and the other one contains all residual HRV dynamics. Two subspace definitions are compared here, on the one hand, the original respiration signal, and on the other hand, its wavelet decomposition. After a multicomparison test, no difference was found between the respiratory components derived using both subspaces, hence, no added value is achieved by the wavelet decomposition. Furthermore, the HRV variations that are linearly related to respiration are significantly different (p <; 0.008) between relax and emotional stress. This suggests that respiratory dynamics are enough to detect emotional stress, which might result in an improved assessment of stress. 2017 2020-08-19T14:40:26Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion ISSN: 0276-6574 EISSN: 2325-8853 https://repository.urosario.edu.co/handle/10336/26880 https://doi.org/10.22489/CinC.2017.264-160 eng info:eu-repo/semantics/restrictedAccess application/pdf IEEE instname:Universidad del Rosario
institution EdocUR - Universidad del Rosario
collection DSpace
language Inglés (English)
topic Classical HRV analysis
spellingShingle Classical HRV analysis
Varon, Carolina
Lazaro, Jesús
Hernando, alberto
Van Huffel, Sabine
Bailon, Raquel
Caicedo Dorado, Alexander
Removal of respiratory influences from heart rate during emotional stress
description Heart rate variability (HRV) has been proposed as an indicator of stress. However, respiratory changes affect the spectral content of the HRV, resulting in a misleading estimation of stress, especially when the respiratory rate falls into the classical low frequency band. To overcome this limitation of the classical HRV analysis, this study decomposes the HRV signal, recorded during different phases of acute emotional stress, into two components using orthogonal subspace projections (OSP). One component describes all linear respiratory influences, and the other one contains all residual HRV dynamics. Two subspace definitions are compared here, on the one hand, the original respiration signal, and on the other hand, its wavelet decomposition. After a multicomparison test, no difference was found between the respiratory components derived using both subspaces, hence, no added value is achieved by the wavelet decomposition. Furthermore, the HRV variations that are linearly related to respiration are significantly different (p <; 0.008) between relax and emotional stress. This suggests that respiratory dynamics are enough to detect emotional stress, which might result in an improved assessment of stress.
format Artículo (Article)
author Varon, Carolina
Lazaro, Jesús
Hernando, alberto
Van Huffel, Sabine
Bailon, Raquel
Caicedo Dorado, Alexander
author_facet Varon, Carolina
Lazaro, Jesús
Hernando, alberto
Van Huffel, Sabine
Bailon, Raquel
Caicedo Dorado, Alexander
author_sort Varon, Carolina
title Removal of respiratory influences from heart rate during emotional stress
title_short Removal of respiratory influences from heart rate during emotional stress
title_full Removal of respiratory influences from heart rate during emotional stress
title_fullStr Removal of respiratory influences from heart rate during emotional stress
title_full_unstemmed Removal of respiratory influences from heart rate during emotional stress
title_sort removal of respiratory influences from heart rate during emotional stress
publisher IEEE
publishDate 2017
url https://repository.urosario.edu.co/handle/10336/26880
https://doi.org/10.22489/CinC.2017.264-160
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score 12,131701