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[Comparison of heart rate variability measurements between ballistocardiogram and electrocardiography]
Kun Wang1, Tiangang Zhu, Xianwen Zhang
1Department of Cardiology, Tianjin Medical University General Hospital, Tianjin 300052, China.
Insights
Heart rate variability (HRV) can be reliably measured using ballistocardiogram (BCG) signals, offering similar results to traditional electrocardiography (ECG) methods. This study confirms BCG
Area of Science:
- Cardiovascular physiology
- Biomedical engineering
- Signal processing
Background:
- Heart rate variability (HRV) is a crucial indicator of autonomic nervous system function.
- Electrocardiography (ECG) is the gold standard for HRV measurement.
- Ballistocardiography (BCG) offers a non-invasive alternative for cardiovascular monitoring.
Purpose of the Study:
- To evaluate the concordance of HRV parameters derived from BCG and ECG.
- To determine if BCG can serve as a reliable alternative to ECG for HRV analysis.
Main Methods:
- Synchronous BCG and ECG signals were recorded from 21 patients.
- Cardiac periods were calculated using JJ intervals (BCG) and RR intervals (ECG).
- Time, frequency, and nonlinear domain HRV analyses were performed and compared.
Main Results:
- HRV parameters calculated from BCG and ECG showed high similarity.
- Correlation coefficients for key parameters (SDNN, TP, LF, HF, SD2) were high (r=1).
- Other parameters (rMSSD, PNN50, LF/HF) also demonstrated strong correlations (r=0.99-0.98).
Conclusions:
- HRV can be reliably measured using JJ intervals from BCG signals.
- BCG presents a viable, non-invasive method for assessing HRV.
- Findings support the use of BCG as an alternative to ECG for HRV assessment.
Objective:
To compare the heart rate variability (HRV) measurements between ballistocardiogram (BCG) and electrocardiography (ECG).
Methods:
The signals of BCG and ECG of 21 patients were collected synchronously. JJ intervals of BCG and RR intervals of ECG were used to calculate the cardiac periods. The parameters of HRV analysis were calculated in time domain analysis, frequency domain analysis and nonlinear analysis. The results derived from BCG and ECG were compared.
Results:
The parameters of HRV analysis calculated from BCG and ECG had high similarity. The correlation coefficients of SDNN, TP, LF, HF and SD2 between the BCG and ECG methods were high (r = 1). The correlation coefficients of rMSSD and SD2 were 0.99 and of PNN50 and LF/HF were 0.98 between the two methods. HRV analysis results derived from the two methods were similar (P > 0.05).
Conclusion:
HRV could also be measured reliably by calculating the JJ interval from BCG.
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