Research Article
Extraction of Respiratory Signals and Respiratory Rates from the Photoplethysmogram
@INPROCEEDINGS{10.1007/978-3-030-64991-3_13, author={Shenglang Xiao and Pengfei Yang and Luyao Liu and Zhiqiang Zhang and Jiankang Wu}, title={Extraction of Respiratory Signals and Respiratory Rates from the Photoplethysmogram}, proceedings={Body Area Networks. Smart IoT and Big Data for Intelligent Health. 15th EAI International Conference, BODYNETS 2020, Tallinn, Estonia, October 21, 2020, Proceedings}, proceedings_a={BODYNETS}, year={2020}, month={12}, keywords={Respiratory rate (RR) Photoplethysmography (PPG) AR model Data fusion}, doi={10.1007/978-3-030-64991-3_13} }- Shenglang Xiao
Pengfei Yang
Luyao Liu
Zhiqiang Zhang
Jiankang Wu
Year: 2020
Extraction of Respiratory Signals and Respiratory Rates from the Photoplethysmogram
BODYNETS
Springer
DOI: 10.1007/978-3-030-64991-3_13
Abstract
Respiration rate (RR) is an important indicator of human health assessment which can be estimated by extracting respiratory signals from the photoplethysmogram (PPG). The goal of this study is to propose an alternative method, for obtaining accurate estimation of respiratory rate (RR) from the PPG signal. The proposed algorithm is based on the multiple autoregressive models and autocorrelation analysis (AC-AR). In AC-AR, the autoregressive model (AR) is applied to determining the dominant respiratory rate from the PPG, and autocorrelation is applied to reduce the effect of clutter in the three respiratory-induced variations. Meanwhile, this paper introduced signal quality indices (SQI) to improve reliability of results. This algorithm is tested using an open source database: The CapnoBase benchmark dataset, which comprising 42 eight-minute PPG recording and respiratory signal acquired form both children and adults in different clinical setting. Compared with that of existing method in the literature, the average absolute error percentage (AAEP) of the proposed algorithm is less than 3.72%, which demonstrated that our presented AC-AR bring a significant improvement in accuracy.
