Acquiring Respiration Rate from Photoplethysmographic Signal by Recursive Bayesian Tracking of Intrinsic Modes in Time-Frequency Spectra
Population
Subjects from the public VORTAL database
Comparison
Respiration rate estimation using amplitude… vs Short-time Fourier transform cascaded with a…
Design
Other
Authors
Discussion
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Member takes
Implication
May enable continuous respiration monitoring via PPG; leaves open rigorous clinical validation.
Structured PICO
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Population
Subjects from the public VORTAL database
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Intervention
Respiration rate estimation using amplitude variability of transmittance mode finger PPG signal via synchrosqueezing methods (including wavelet synchrosqueezing transform) cascaded with a particle filter
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Comparator
Short-time Fourier transform (STFT) cascaded with a particle filter
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Outcome
Accuracy of respiration rate estimation (mean absolute error and median error)
Advanced frequency reallocation methods based on synchrosqueezing combined with particle filtering improve the accuracy of respiration rate estimation from PPG signals compared to linear methods like STFT.
Limitations
- Artefacts and non-respiration-related frequency components remain problematic
Cite This Study
Pirhonen et al. (2018) studied this question.