Heart Rate Variability Analysis on CEBS Database Signals
Summary
Heart rate variability (HRV) analysis using seismocardiography (SCG) shows reliable results comparable to electrocardiography (ECG). This electrode-free method accurately assesses cardiovascular autonomic function, demonstrating SCG
Area of Science:
- Cardiovascular Physiology
- Biomedical Engineering
- Non-invasive Monitoring
Background:
- Heart rate variability (HRV) is a key indicator of cardiovascular autonomic function.
- Electrode-free heart rate monitoring is gaining interest.
- Seismocardiography (SCG) records cardiovascular vibrations non-invasively.
Purpose of the Study:
- To compare HRV indices derived from SCG and ECG signals.
- To evaluate the reliability of SCG for HRV analysis.
- To assess SCG heart beat detection performance.
Main Methods:
- Utilized 200-second signals from the CEBS database (supine position).
- Compared HRV parameters calculated from SCG and ECG reference signals.
- Assessed a modified SCG heart beat detection algorithm.
Main Results:
- Modified SCG heart beat detection performed well on high-sampling-frequency signals.
- Strong linear correlation observed between HRV indices from SCG and ECG.
- Demonstrated the reliability of SCG for HRV analysis.
Conclusions:
- SCG is a reliable non-invasive method for HRV analysis.
- SCG offers a viable alternative to ECG for assessing cardiovascular autonomic function.
- This study validates SCG's utility in the CEBS database.
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