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

fYear

2008

fDate

20-25 Aug. 2008

Firstpage

3856

Lastpage

3859

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE

Conference_Location

Vancouver, BC

ISSN

1557-170X

Print_ISBN

978-1-4244-1814-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2008.4650051

Filename

4650051