Key result
A particle filter algorithm accurately extracted near-continuous respiratory rates directly from PPG and ECG signals during both metronome and spontaneous breathing, even during strenuous exercise.
A novel particle filter-based algorithm can accurately extract near-continuous respiratory rates from both PPG and ECG signals in near real-time, even during strenuous exercise.
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Enables wearable respiratory monitoring from routine signals; leaves open prospective validation before clinical adoption.
Lee et al. (2011) studied this question. Particle filter algorithm was evaluated on Accuracy of respiratory rate estimation. A particle filter algorithm accurately extracted near-continuous respiratory rates directly from PPG and ECG signals during both metronome and spontaneous breathing, even during strenuous exercise.
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