Algorithm for Automatic Beat Detection of Cardiovascular Pressure Signals

被引：3

作者：

Beattie, Zachary T. ^{[1
]}

机构：

[1] Oregon Hlth & Sci Univ, Dept Biomed Engn, Portland, OR 97239 USA

来源：

2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8 | 2008年

关键词：

D O I：

10.1109/IEMBS.2008.4649731

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Pressure beat detection is an integral part of most analysis techniques for arterial blood pressure (ABP), intracranial pressure (ICP), and pulse oximetry (SpO(2)) signals. Beat detection has been used to estimate heart rate in the ABP signal, to classify ICP morphologies, and to estimate blood pressure using pulse oximeter waveforms. This paper describes an algorithm that was developed to detect pressure peak beats in ABP, ICP, and SpO(2) signals. When compared to the expert annotation of several signals consisting of over 42,500 pressure beats, the algorithm detected pressure peaks with an average sensitivity of 99.6% +/- 0.27 and an average positive predictivity of 98.6% +/- 1.1.

引用

页码：2594 / 2597

页数：4

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