Estimation of Respiratory Rate from Photoplethysmogram Signal of Sleep Apnea Patients: A Comparative Study of Different Methods

被引：0

作者：

Dabiri, Setarch ^{[1
]}

Shirazi, Mohammad A. Masnadi ^{[1
]}

机构：

[1] Shiraz Univ, Dept Elect & Comp Engn, Shiraz, Iran

来源：

2015 38TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP) | 2015年

关键词：

Autoregressive modeling; Pulse oximeter; Photoplethysmogram; Respiratory rate; Wavelets; EXTRACTION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：440 / 443

页数：4

共 15 条

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[2]

[Anonymous], 2014, INT J

[3]

Chon Ki H., 2009, IEEE T BIOMEDICAL EN, V56

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