Key result
A simple lowpass-highpass filter configuration accurately extracted respiratory and cardiac frequencies from a mixed ballistocardiography signal, outperforming EEMD and Wiener filter methods.
Why the study?
The study was designed to build an analog circuit for BCG signal amplification and evaluate three signal processing algorithms to simultaneously extract respiratory and cardiac frequency components from cluttered BCG signals.
A simple lowpass-highpass filter applied to Fiber Bragg Grating ballistocardiography signals can accurately and simultaneously extract heart and respiratory rates, outperforming more complex algorithms like EEMD and Wiener filters.
Novel FBG-BCG system extracts cardiac/respiratory signals; leaves open clinical validation in cardiovascular populations.
This work presents a simple, efficient and an easy-to-build ballistocardiography sys-tem using Fiber Bragg Grating (FBG) sensor and a comprehensive assessment of relevant digital signal processing algorithms to simultaneously extract respiratory and cardiac frequency components from a cluttered mix Ballistocardiography (BCG) signal. The primary purpose of the current study is two-fold: first- to build an analog circuit for BCG signal amplification, and second to evaluate the performance of three state-of-the-art methods, namely: lowpass-highpass filter, weiner filter and ensemble empherical mode decomposition to simultaneously extract respiratory and cardiac frequency components from the BCG signal. BCG measurements from test subjects were used in this study and a commercial digital stethoscope was used to validate the performance of methods used in this study. In addition to the effective amplification of the BCG signal through proposed analog circuit configuration, we demonstrate that a simple low pass high pass filter configuration can be used for accurate measurement of cardiac and respiratory frequencies. Due to its simplicity, the proposed system can be suitably tailored to process BCG signal for simultaneous extraction of respiration and heart rate which can aid as an effective diagnostic tool for identifying critical disorders associated with lungs and heart dysfunction.
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Chethana et al. (2020) studied Healthy (n=2). Lowpass-highpass filter configuration vs. Ensemble empirical mode decomposition (EEMD) and Wiener filter was evaluated on Extraction of respiratory and cardiac frequencies. A simple lowpass-highpass filter configuration accurately extracted respiratory and cardiac frequencies from a mixed ballistocardiography signal, outperforming EEMD and Wiener filter methods.
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