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Real-time analysis of heart rate variability during aerobic exercise in patients with cardiovascular disease

BACKGROUND: Exercise therapy for cardiovascular disease (CVD) is mainly evaluated based on the heart rate (HR) or Borg scale. However, these indices can be unreliable depending on the patient’s medication or their subjective decisions; thus, alternative methods are required for easier and safer impl...

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Autores principales: Ikura, Hidehiko, Katsumata, Yoshinori, Seki, Yuta, Ryuzaki, Toshinobu, Shiraishi, Yasuyuki, Miura, Kotaro, Sato, Kazuki, Fukuda, Keiichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9663313/
https://www.ncbi.nlm.nih.gov/pubmed/36389267
http://dx.doi.org/10.1016/j.ijcha.2022.101147
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author Ikura, Hidehiko
Katsumata, Yoshinori
Seki, Yuta
Ryuzaki, Toshinobu
Shiraishi, Yasuyuki
Miura, Kotaro
Sato, Kazuki
Fukuda, Keiichi
author_facet Ikura, Hidehiko
Katsumata, Yoshinori
Seki, Yuta
Ryuzaki, Toshinobu
Shiraishi, Yasuyuki
Miura, Kotaro
Sato, Kazuki
Fukuda, Keiichi
author_sort Ikura, Hidehiko
collection PubMed
description BACKGROUND: Exercise therapy for cardiovascular disease (CVD) is mainly evaluated based on the heart rate (HR) or Borg scale. However, these indices can be unreliable depending on the patient’s medication or their subjective decisions; thus, alternative methods are required for easier and safer implementation of aerobic exercise. Here, we examined whether real-time analysis of HR variability (HRV) can help maintain exercise intensity at the ventilatory threshold (VT) during exercise. METHODS: Twenty-eight patients with CVD treated at Keio University Hospital between August 2018 and March 2020 were enrolled. Initially, oxygen uptake (VO(2)) and HR at the VT were determined using the cardiopulmonary exercise test. Patients then performed aerobic exercise on a stationary bicycle for 30 min while a parameter of HRV, the high-frequency (HF) component, was monitored in real time using an electrocardiograph. The work rate during exercise was adjusted every 2 min to maintain the HF range between 5 and 10. The VO(2) and HR values, recorded every 2 min during exercise, were compared with those at VT. The Bland–Altman method was used to confirm similarity. RESULTS: VO(2) and HR during exercise were closely correlated with those at VT (e.g., 19 min after exercise initiation; VO(2): r = 0.647, HR: r = 0.534). The Bland–Altman plot revealed no bias between the mean values (e.g., 19 min; VO(2): −0.22 mL/kg/min; HR: −0.07/min). CONCLUSION: Real-time HRV analysis with electrocardiograph alone during exercise can provide continuous and non-invasive exercise intensity measurements at VT, promoting safer and effective exercise strategies.
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spelling pubmed-96633132022-11-15 Real-time analysis of heart rate variability during aerobic exercise in patients with cardiovascular disease Ikura, Hidehiko Katsumata, Yoshinori Seki, Yuta Ryuzaki, Toshinobu Shiraishi, Yasuyuki Miura, Kotaro Sato, Kazuki Fukuda, Keiichi Int J Cardiol Heart Vasc Original Paper BACKGROUND: Exercise therapy for cardiovascular disease (CVD) is mainly evaluated based on the heart rate (HR) or Borg scale. However, these indices can be unreliable depending on the patient’s medication or their subjective decisions; thus, alternative methods are required for easier and safer implementation of aerobic exercise. Here, we examined whether real-time analysis of HR variability (HRV) can help maintain exercise intensity at the ventilatory threshold (VT) during exercise. METHODS: Twenty-eight patients with CVD treated at Keio University Hospital between August 2018 and March 2020 were enrolled. Initially, oxygen uptake (VO(2)) and HR at the VT were determined using the cardiopulmonary exercise test. Patients then performed aerobic exercise on a stationary bicycle for 30 min while a parameter of HRV, the high-frequency (HF) component, was monitored in real time using an electrocardiograph. The work rate during exercise was adjusted every 2 min to maintain the HF range between 5 and 10. The VO(2) and HR values, recorded every 2 min during exercise, were compared with those at VT. The Bland–Altman method was used to confirm similarity. RESULTS: VO(2) and HR during exercise were closely correlated with those at VT (e.g., 19 min after exercise initiation; VO(2): r = 0.647, HR: r = 0.534). The Bland–Altman plot revealed no bias between the mean values (e.g., 19 min; VO(2): −0.22 mL/kg/min; HR: −0.07/min). CONCLUSION: Real-time HRV analysis with electrocardiograph alone during exercise can provide continuous and non-invasive exercise intensity measurements at VT, promoting safer and effective exercise strategies. Elsevier 2022-11-11 /pmc/articles/PMC9663313/ /pubmed/36389267 http://dx.doi.org/10.1016/j.ijcha.2022.101147 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Paper
Ikura, Hidehiko
Katsumata, Yoshinori
Seki, Yuta
Ryuzaki, Toshinobu
Shiraishi, Yasuyuki
Miura, Kotaro
Sato, Kazuki
Fukuda, Keiichi
Real-time analysis of heart rate variability during aerobic exercise in patients with cardiovascular disease
title Real-time analysis of heart rate variability during aerobic exercise in patients with cardiovascular disease
title_full Real-time analysis of heart rate variability during aerobic exercise in patients with cardiovascular disease
title_fullStr Real-time analysis of heart rate variability during aerobic exercise in patients with cardiovascular disease
title_full_unstemmed Real-time analysis of heart rate variability during aerobic exercise in patients with cardiovascular disease
title_short Real-time analysis of heart rate variability during aerobic exercise in patients with cardiovascular disease
title_sort real-time analysis of heart rate variability during aerobic exercise in patients with cardiovascular disease
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9663313/
https://www.ncbi.nlm.nih.gov/pubmed/36389267
http://dx.doi.org/10.1016/j.ijcha.2022.101147
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