Heart Rate Variability Analysis on CEBS Database Signals
Insights
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.
Abstract:
Heart rate variability (HRV) is a valuable noninvasive tool of assessing the state of cardiovascular autonomic function. Over the recent years there has been interest in heart rate monitoring without electrodes. Seismocardiography (SCG) is a non-invasive technique of recording and analyzing cardiovascular vibrations. The purpose of this study is to compare HRV indices calculated on SCG and ECG signals from Combined measurement of ECG, breathing and seismocardiogram (CEBS) database. The authors use 20 signals lasting 200 s acquired from patients in supine position and compare heart rate variability parameters from the seismocardiogram and ECG reference signal. They assessed the performance of heart beat detector on SCG channel. The results of modified version of SCG heart beat detection prove its good performance on signals with higher sampling frequency. Strong linear correlation of HRV indices calculated from ECG and SCG prove the reliability of SCG in HRV analysis performed on signals from CEBS Database.
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