Key result
Real-time heart rate variability threshold strongly correlates with ventilatory threshold in healthy and MI patients.
Why the study?
Does real-time heart rate variability analysis strongly correlate with the ventilatory threshold during incremental exercise in healthy subjects and patients with myocardial infarction?
Cross-Sectional (n=65)
No
Does real-time heart rate variability analysis strongly correlate with the ventilatory threshold during incremental exercise in healthy subjects and patients with myocardial infarction?
Real-time assessment of HRV during exercise offers an accessible alternative to expensive gas analyzers for determining the ventilatory threshold and prescribing optimal aerobic exercise.
Answers are grounded in this paper and cite their sources.
HRVT visualization may enable accessible threshold assessment in MI; leaves open prospective validation before clinical adoption.
Background It has never been possible to immediately evaluate heart rate variability ( HRV ) during exercise. We aimed to visualize the real‐time changes in the power spectrum of HRV during exercise and to investigate its relationship to the ventilatory threshold ( VT ). Methods and Results Thirty healthy subjects (29.1±5.7 years of age) and 35 consecutive patients (59.0±13.2 years of age) with myocardial infarctions underwent cardiopulmonary exercise tests with an RAMP protocol ergometer. The HRV was continuously assessed with power spectral analyses using the maximum entropy method and projected on a screen without delay. During exercise, a significant decrease in the high frequency ( HF ) was followed by a drastic shift in the power spectrum of the HRV with a periodic augmentation in the low frequency/ HF (L/H) and steady low HF . When the HRV threshold ( HRVT ) was defined as conversion from a predominant high frequency ( HF ) to a predominant low frequency/ HF (L/H), the VO 2 at the HRVT ( HRVT ‐ VO 2 ) was substantially correlated with the VO 2 at the lactate threshold and VT ) in the healthy subjects ( r =0.853 and 0.921, respectively). The mean difference between each threshold (0.65 mL/kg per minute for lactate threshold and HRVT , 0.53 mL/kg per minute for VT and HRVT ) was nonsignificant ( P >0.05). Furthermore, the HRVT ‐ VO 2 was also correlated with the VT ‐ VO 2 in these myocardial infarction patients ( r =0.867), and the mean difference was −0.72 mL/kg per minute and was nonsignificant ( P >0.05). Conclusions A HRV analysis with our method enabled real‐time visualization of the changes in the power spectrum during exercise. This can provide additional information for detecting the VT .
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Shiraishi et al. (2018) conducted a cross-sectional in Healthy volunteers and myocardial infarction patients (n=65). Real-time power spectral analysis of heart rate variability (HRV) vs. Ventilatory threshold (VT) and lactate threshold (LT) by standard gas and blood analyzers was evaluated on Correlation of oxygen uptake (VO2) at the HRV threshold (HRVT) and ventilatory threshold (VT) (r = 0.921 (healthy subjects) and r = 0.867 (MI patients), p=<0.001). Real-time visualization of the heart rate variability threshold strongly correlated with the ventilatory threshold in both healthy subjects (r=0.921) and patients with myocardial infarction (r=0.867).
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