A Novel Beat Detection Method for Blood Pressure Signals Using Slope Sum Mean Shift Technology

Author

Liu, Xiaochang ; Liu, Jia

Author_Institution

Shenzhen Inst. of Adv. Technol., Shenzhen, China

fYear

2012

fDate

28-30 May 2012

Firstpage

670

Lastpage

673

Abstract

In this paper, a novel slope sum mean shift method for beat detection of blood pressure signals is presented. The method consists of three components: a windowed and weighted slope sum function (SSF), the mean shift algorithm and the peak position calibration procedure. The slope sum function is used to extract and magnify the ABP waveform features while reduce the computation efficiency for mean shift algorithm. The mean shift algorithm is then applied to find the maxima of the blood pressure signals, and finally the peak position calibration procedure is used for correcting the errors of peak position shift brought by previous two steps. Experiment results showed its accuracy and efficiency in beat detection for blood pressure signals.

Keywords

blood pressure measurement; calibration; low-pass filters; medical signal detection; ABP waveform features; blood pressure signals; low-pass filtering; novel beat detection method; peak position calibration procedure; slope sum mean shift technology; weighted slope sum function; windowed slope sum function; Algorithm design and analysis; Blood pressure; Feature extraction; Manuals; Sensitivity; Signal processing algorithms; Standards; Beat detection; blood pressure signals; mean shift; slope sum function;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering and Biotechnology (iCBEB), 2012 International Conference on

Conference_Location

Macau, Macao

Print_ISBN

978-1-4577-1987-5

Type

conf

DOI

10.1109/iCBEB.2012.33

Filename

6245208