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Published on: June 5, 2019
Time-evolution of cardiovascular variability during autonomic function tests in physiological investigations
Dilbag Singh1, B S Saini, Vinod Kumar
1Instrum. & Control Eng. Dept., Dr. B. R. Ambedkar Nat. Inst. of Technol., Jalandhar, Punjab, India. singhd@nitj.ac.in
Summary
This study presents a wavelet-based method to analyze heart rate variability (HRV) dynamics during autonomic function tests. The analysis accurately reflects sympathovagal balance, aiding in diagnosing autonomic dysfunction.
Area of Science:
- Physiology
- Biomedical Engineering
- Cardiology
Background:
- Autonomic function testing is crucial for physiological research and diagnosing disorders affecting autonomic control.
- Noninvasive autonomic function tests are increasingly used due to their simplicity and ability to reveal control system dynamics.
- Heart rate variability (HRV) analysis is a key component in assessing autonomic function.
Purpose of the Study:
- To introduce a time-varying spectrum estimation method for analyzing HRV signal dynamics.
- To examine HRV dynamics during standard autonomic function tests using wavelet analysis.
- To investigate the association between heart rate changes and HRV parameters.
Main Methods:
- A novel time-varying spectrum estimation method was developed.
- Wavelet analysis was applied to HRV signals during autonomic function tests.
- Spectrum estimates were decomposed to analyze low and high-frequency components separately.
Main Results:
- The wavelet-based HRV analysis successfully captured the time-varying dynamics of HRV.
- Decomposition allowed for separate examination of low and high-frequency HRV components.
- The method demonstrated a faithful representation of sympathovagal balance during tests.
Conclusions:
- Wavelet-based HRV analysis is a valuable tool for assessing autonomic function.
- This method can help in diagnosing and understanding conditions involving autonomic dysfunction.
- The study confirms the utility of HRV analysis in evaluating sympathovagal modulation.
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