Title :
Robust peak detection of pulse waveform using height ratio
Author :
Xu, Lisheng ; Meng, Max Q -H ; Liu, Rong ; Wang, Kuanquan
Author_Institution :
School of Control Science and Engineering, Shandong University, Jinan, 250061 China
Abstract :
The automatic recognition of pulse waveform is the key in the research of computerized pulse diagnosis. The peak detection is important in the extraction of the features of pulse waveform in time domain. In this paper, we proposed a robust peak detection algorithm of pulse waveform based on the ratio of peak height. The results demonstrate that the proposed algorithm is robust against unspecific noise and baseline drift of pulse waveform. The proposed algorithm can be applied into other quais-periodic physiological signals too.
Keywords :
Biomedical engineering; Computer vision; Curve fitting; Detection algorithms; Feature extraction; Information analysis; Medical diagnostic imaging; Noise robustness; PSNR; Pathology; Peak detection; Pulse diagnosis; Pulse waveform; Ratio of peak height; Robust; Algorithms; Automatic Data Processing; Humans; Models, Statistical; Models, Theoretical; Monitoring, Physiologic; Oximetry; Oxygen; Pattern Recognition, Automated; Pulse; Reproducibility of Results; Signal Processing, Computer-Assisted; Time Factors;
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2008.4650051