Paper Info
Title
Fast Respiratory Rate Estimation From Ppg Signal Using Sparse Signal Reconstruction Based On Orthogonal Matching Pursuit
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.
Year
Venue
Field
2016
2016 50TH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS
Matching pursuit,Mathematical optimization,Pattern recognition,Computer science,Photoplethysmogram,Respiratory rate,Modulation,Artificial intelligence,Signal reconstruction,Signal processing algorithms,Modulation (music),Computational complexity theory
DocType
ISSN
Citations 
Conference
1058-6393
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Xiaorong Zhang1549.15
Quan Ding2597.72