The based-biofeedback approach versus ECG for evaluation heart rate variability during the maximal exercise protocol among healthy individuals

Although the use of biofeedback devices is beyond measure, they are widely applied only for clinical purposes. Therefore, this study evaluated whether biofeedback devices could be applied to estimate heart rate variability (HRV) among healthy populations. 60 individuals (46 ± 5 years; 30 women) performed maximal exercise protocol (MEP). At pre- and post-MEP status, HRV indexes were collected by two devices: 1) the electrocardiogram device (ECG); 2) the biofeedback device (BIO). At pre-exercise status, all HRV parameters had significant correlations, ranging from low (r = 0.241) to high (r = 0.779). At post-exercise status, significant correlations for some of the HRV measures were found as well, ranging from low (i.e., r ≤ 0.29) to moderate (i.e., 0.3 ≤ r ≤ 0.49). According to our knowledge, this study is the first attempt to evaluate HRV by biofeedback devices among healthy individuals, which shows they can also be applied as a swift method to examine HRV among healthy individuals, especially in rest conditions.

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Publication Details

Journal
Computing and artificial intelligence.
Published
2024-09-22
DOI
https://doi.org/10.59400/cai.v2i2.1481
Primary Topic
Heart Rate Variability and Autonomic Control
Type
article
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article

The based-biofeedback approach versus ECG for evaluation heart rate variability during the maximal exercise protocol among healthy individuals

Valiollah Dabidi Roshan, Sara Pouriamehr, Somayeh Namdar Tajari
Computing and artificial intelligence.
Heart Rate Variability and Autonomic Control
article

The based-biofeedback approach versus ECG for evaluation heart rate variability during the maximal exercise protocol among healthy individuals

Valiollah Dabidi Roshan, Sara Pouriamehr, Somayeh Namdar Tajari
article en

Abstract

Although the use of biofeedback devices is beyond measure, they are widely applied only for clinical purposes. Therefore, this study evaluated whether biofeedback devices could be applied to estimate heart rate variability (HRV) among healthy populations. 60 individuals (46 ± 5 years; 30 women) performed maximal exercise protocol (MEP). At pre- and post-MEP status, HRV indexes were collected by two devices: 1) the electrocardiogram device (ECG); 2) the biofeedback device (BIO). At pre-exercise status, all HRV parameters had significant correlations, ranging from low (r = 0.241) to high (r = 0.779). At post-exercise status, significant correlations for some of the HRV measures were found as well, ranging from low (i.e., r ≤ 0.29) to moderate (i.e., 0.3 ≤ r ≤ 0.49). According to our knowledge, this study is the first attempt to evaluate HRV by biofeedback devices among healthy individuals, which shows they can also be applied as a swift method to examine HRV among healthy individuals, especially in rest conditions.

Computing and artificial intelligence.Vol. 2(2)
University of Mazandaran (IR)
Good health and well-being
Openalex Percentile: Top 67%
Heart Rate Variability and Autonomic Control
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