Detection of respiratory rhythm from photoplethysmographic signal by adaptive morphological filter.
An approach using morphological filter technique is proposed to determine the respiratory rhythm from the photoplethysmographic (PPG) signal. As the structuring elements of morphological filter have a decisive effect on the analysis result, in the study the structuring elements are determined by the individual heart rate adaptively. The procedure was tested on a group of healthy subjects. Compared with the reference respiratory signal from the transthoracic impedance measurement, the proposed method is an efficient tool to detect the respiratory rhythm from PPG signal. Furthermore, the low computational complexity of the algorithm may make it easy to be implemented on Microprogrammed Control Units (MCU) for real-time processing. More experimental data is necessary to improve the reliability and robustness of the algorithm.
Li
Jin
J
Postdoctoral Mobile Station of Biomedical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China. jin.l@mail.xjtu.edu.cn
Jin
Jie
J
Sun
Weixin
W
Guo
Ping
P
D000328:Adult; D000465:Algorithms; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D010363:Pattern Recognition, Automated / Q000379:methods*; D017156:Photoplethysmography / Q000379:methods*; D015203:Reproducibility of Results; D056152:Respiratory Rate / Q000502:physiology*; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted