基于心电信号提取呼吸信号的算法

吉林大学学报(信息科学版) ›› 2016, Vol. 34 ›› Issue (3): 327-333.

基于心电信号提取呼吸信号的算法

郭永丛¹, 司玉娟^1,2

1. 吉林大学通信工程学院, 长春 130012; 2. 吉林大学珠海学院电子信息系, 广东珠海 519041

收稿日期:2015-08-29 出版日期:2016-05-25 发布日期:2016-12-21
基金资助:
吉林省重点科技攻关基金资助项目(20150204039GX); 吉林省长春市重大科技攻关专项基金资助项目(14KG064); 广东省省级科技计划基金资助项目(2013B010101020)

Respiratory Signal Extraction Algorithm Based on ECG

GUO Yongcong¹, SI Yujuan^1,2

1. College of Communication Engineering, Jilin University, Changchun 130012, China;2. Department of Electronic Information Science & Technology, College of Zhuhai, Jilin University, Zhuhai 519041, China

Received:2015-08-29 Online:2016-05-25 Published:2016-12-21

摘要/Abstract

摘要：

为了通过心电监护完成对多种生理信号的检测, 降低监护设备的复杂性, 根据呼吸运动对心电信号的影响, 提出一种由心电信号提取呼吸信息(EDR: ECG-Derived Respiratory Signal) 的算法。首先, 根据Pan&Tompkins 算法从心电信号中提取R 波; 然后使用自然三次样条插值算法对心电信号的基线进行估计, 去除基线漂移, 得到干净的心电信号; 最后获取干净的心电信号R 波, 利用自然样条插值算法得到R 波幅值调制信号, 提取出呼吸信息。通过Matlab 软件对该算法进行验证, 并进行相关的分析比较。仿真结果表明, 该算法能从心电信号里提取呼吸信息。通过与数据库中同时记录的呼吸数据进行比对, 证实了算法的有效性。

关键词: 心电信号, 呼吸信息, Pan &, Tompkins 算法, 自然三次样条插值

Abstract:

In order to achieve to detect a variety of physiological signals form ECG ( electrocarcliogram)monitoring signal, reducing the complexity of the monitoring equipment, according to the impact of breathing motion on the ECG, it presents a respiratory information extracted from the ECG (ECG-derived respiratory signal, EDR) algorithm. First, according to Pan & Tompkins algorithm extracted from the ECG R-wave, and then, using a natural cubic spline interpolation algorithm to estimate the baseline ECG and remove baseline wander, getting clean ECG, finally, get clean ECG R-wave, the use of natural spline interpolation algorithm is applied to obtain R wave amplitude modulation signal which contains respiration information. In paper, it selected Fantasia database, which in addition to providing the ECG signal, it also gave a breathing signal synchronized recording. It used Matlab software to verify the proposed algorithm, associated analyzed and compared. The simulation results showed that the algorithm mentioned in this paper can extract the respiratory
signal from ECG. By comparing with respiratory data in the database simultaneously recorded, it confirmed the validity of the algorithm.

Key words: electrocarcliogram (ECG), respiratory information, Pan&Tompkins algorithm, natural cubic spline interpolation

中图分类号:

TN911

郭永丛, 司玉娟. 基于心电信号提取呼吸信号的算法[J]. 吉林大学学报(信息科学版), 2016, 34(3): 327-333.

GUO Yongcong, SI Yujuan. Respiratory Signal Extraction Algorithm Based on ECG[J]. Journal of Jilin University(Information Science Ed, 2016, 34(3): 327-333.