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Spectral Analysis of Muscle Hemodynamic Responses in Post-Exercise Recovery Based on Near-Infrared Spectroscopy

Spectral analysis of blood flow or blood volume oscillations can help to understand the regulatory mechanisms of microcirculation. This study aimed to explore the relationship between muscle hemodynamic response in the recovery period and exercise quantity. Fifteen healthy subjects were required to...

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Autores principales: Tan, Qitao, Wang, Yan, Li, Zengyong, Wang, Daifa, Lam, Wing-Kai, Wong, Duo Wai-Chi, Peng, Yinghu, Zhang, Guoxin, Zhang, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125689/
https://www.ncbi.nlm.nih.gov/pubmed/33924973
http://dx.doi.org/10.3390/s21093072
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author Tan, Qitao
Wang, Yan
Li, Zengyong
Wang, Daifa
Lam, Wing-Kai
Wong, Duo Wai-Chi
Peng, Yinghu
Zhang, Guoxin
Zhang, Ming
author_facet Tan, Qitao
Wang, Yan
Li, Zengyong
Wang, Daifa
Lam, Wing-Kai
Wong, Duo Wai-Chi
Peng, Yinghu
Zhang, Guoxin
Zhang, Ming
author_sort Tan, Qitao
collection PubMed
description Spectral analysis of blood flow or blood volume oscillations can help to understand the regulatory mechanisms of microcirculation. This study aimed to explore the relationship between muscle hemodynamic response in the recovery period and exercise quantity. Fifteen healthy subjects were required to perform two sessions of submaximal plantarflexion exercise. The blood volume fluctuations in the gastrocnemius lateralis were recorded in three rest phases (before and after two exercise sessions) using near-infrared spectroscopy. Wavelet transform was used to analyze the total wavelet energy of the concerned frequency range (0.005–2 Hz), which were further divided into six frequency intervals corresponding to six vascular regulators. Wavelet amplitude and energy of each frequency interval were analyzed. Results showed that the total energy raised after each exercise session with a significant difference between rest phases 1 and 3. The wavelet amplitudes showed significant increases in frequency intervals I, III, IV, and V from phase 1 to 3 and in intervals III and IV from phase 2 to 3. The wavelet energy showed similar changes with the wavelet amplitude. The results demonstrate that local microvascular regulators contribute greatly to the blood volume oscillations, the activity levels of which are related to the exercise quantity.
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spelling pubmed-81256892021-05-17 Spectral Analysis of Muscle Hemodynamic Responses in Post-Exercise Recovery Based on Near-Infrared Spectroscopy Tan, Qitao Wang, Yan Li, Zengyong Wang, Daifa Lam, Wing-Kai Wong, Duo Wai-Chi Peng, Yinghu Zhang, Guoxin Zhang, Ming Sensors (Basel) Article Spectral analysis of blood flow or blood volume oscillations can help to understand the regulatory mechanisms of microcirculation. This study aimed to explore the relationship between muscle hemodynamic response in the recovery period and exercise quantity. Fifteen healthy subjects were required to perform two sessions of submaximal plantarflexion exercise. The blood volume fluctuations in the gastrocnemius lateralis were recorded in three rest phases (before and after two exercise sessions) using near-infrared spectroscopy. Wavelet transform was used to analyze the total wavelet energy of the concerned frequency range (0.005–2 Hz), which were further divided into six frequency intervals corresponding to six vascular regulators. Wavelet amplitude and energy of each frequency interval were analyzed. Results showed that the total energy raised after each exercise session with a significant difference between rest phases 1 and 3. The wavelet amplitudes showed significant increases in frequency intervals I, III, IV, and V from phase 1 to 3 and in intervals III and IV from phase 2 to 3. The wavelet energy showed similar changes with the wavelet amplitude. The results demonstrate that local microvascular regulators contribute greatly to the blood volume oscillations, the activity levels of which are related to the exercise quantity. MDPI 2021-04-28 /pmc/articles/PMC8125689/ /pubmed/33924973 http://dx.doi.org/10.3390/s21093072 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tan, Qitao
Wang, Yan
Li, Zengyong
Wang, Daifa
Lam, Wing-Kai
Wong, Duo Wai-Chi
Peng, Yinghu
Zhang, Guoxin
Zhang, Ming
Spectral Analysis of Muscle Hemodynamic Responses in Post-Exercise Recovery Based on Near-Infrared Spectroscopy
title Spectral Analysis of Muscle Hemodynamic Responses in Post-Exercise Recovery Based on Near-Infrared Spectroscopy
title_full Spectral Analysis of Muscle Hemodynamic Responses in Post-Exercise Recovery Based on Near-Infrared Spectroscopy
title_fullStr Spectral Analysis of Muscle Hemodynamic Responses in Post-Exercise Recovery Based on Near-Infrared Spectroscopy
title_full_unstemmed Spectral Analysis of Muscle Hemodynamic Responses in Post-Exercise Recovery Based on Near-Infrared Spectroscopy
title_short Spectral Analysis of Muscle Hemodynamic Responses in Post-Exercise Recovery Based on Near-Infrared Spectroscopy
title_sort spectral analysis of muscle hemodynamic responses in post-exercise recovery based on near-infrared spectroscopy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125689/
https://www.ncbi.nlm.nih.gov/pubmed/33924973
http://dx.doi.org/10.3390/s21093072
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