Estimation of respiratory rate from photoplethysmogram signal of sleep apnea patients: A comparative study of different methods

The photoplethysmogram signal, which is produced by pulse oximeter, is mainly used for monitoring arterial oxygen saturation and heart rate. But it has been shown that the PPG waveform can also be used for respiratory rate monitoring. In this paper, a novel algorithm using wavelets and autoregressive modeling for respiratory rate estimation from the PPG signal is presented and compared with four other existent algorithms. All methods have been performed on a consistent data set recorded from sleep apnea patients. The new algorithm has less root mean square error in comparison with the other mentioned algorithms.

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