Key result
The photoplethysmogram signal provided the most consistently high performance for breathing rate detection, while the complex demodulation approach was comparable or superior to the wavelet method.
Population
15 healthy human subjects
Design
Other
Authors
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May support PPG for non-invasive breathing rate monitoring; leaves open optimal processing method for clinical validation.
Time-frequency methods, particularly complex demodulation applied to PPG signals, provide accurate and repeatable estimation of respiratory rate in healthy subjects.
Dash et al. (2010) studied Healthy (n=15). Time-frequency-based breathing rate detection algorithms (wavelet and complex demodulation) on ECG, PPG, and PZO signals vs. Autoregressive modeling (AR) method / comparison between signals was evaluated on Accuracy and repeatability of breathing rate detection. The photoplethysmogram signal provided the most consistently high performance for breathing rate detection, while the complex demodulation approach was comparable or superior to the wavelet method.
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