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Inverse Correlation between Heart Rate Variability and Heart Rate Demonstrated by Linear and Nonlinear Analysis
Syed Zaki Hassan Kazmi1,2, Henggui Zhang1, Wajid Aziz2,3
1School of Physics & Astronomy, University of Manchester, Manchester, United Kingdom.
Plos One
|June 24, 2016
Summary
Heart rate variability (HRV) analysis is complex. This study reveals an inverse correlation between HRV and heart rate (HR) in humans and animals, suggesting HRV is HR-dependent and not a straightforward measure of autonomic nerve activity.
Area of Science:
- Cardiovascular physiology
- Biomedical signal analysis
- Nonlinear dynamics
Background:
- Heart rate variability (HRV) analysis is widely used to assess cardiac function.
- Over 17,000 publications exist on HRV, yet its underlying mechanisms remain debated.
- Current understanding of HRV's relationship with autonomic nerve activity is controversial.
Purpose of the Study:
- To investigate the relationship between heart rate variability (HRV) and heart rate (HR).
- To analyze HRV using both linear and nonlinear methods across different physiological and pathological conditions.
- To determine if HRV can be reliably used to assess autonomic nerve activity.
Main Methods:
- Collected HRV data from human subjects (normal sinus rhythm and congestive heart failure) and animal models (rabbit sinoatrial node cells and conscious rats).
- Applied linear analysis techniques: time-domain and frequency-domain analysis.
- Employed nonlinear analysis techniques to assess HRV dynamics.
Main Results:
- Both linear and nonlinear analyses demonstrated a consistent inverse correlation between HRV and HR.
- This inverse relationship was observed across all studied groups, including humans and animals.
- Pathological conditions did not alter the fundamental inverse correlation between HRV and HR.
Conclusions:
- HRV is significantly dependent on the underlying heart rate (HR).
- The findings challenge the conventional interpretation of HRV as a direct indicator of autonomic nerve activity.
- Further research is needed to refine HRV analysis and its clinical applications, considering the HR dependency.
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