Abstract

Fast and accurate respiratory rate (RR) estimation from photoplethysmography (PPG) signal is still a challenging problem. In this paper, we propose a real-time algorithm for RR estimation from PPG signal using sparse signal reconstruction (SSR) based on orthogonal matching pursuit (OMP). This algorithm greatly reduces the computational complexity of the original sparse signal reconstruction and respiratory rate tracking (S2R3T) algorithm. While the proposed algorithm and a state-of-the-art real-time algorithm based on smart fusion of RR estimates from three respiratory modulations have similar estimation accuracy, the proposed algorithm outperforms the smart fusion algorithm in number of RR estimates.

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