Automatic detection algorithm for physiologic pressure signal components

被引：0
|
作者：
Aboy, M [1 ]
Crespo, C [1 ]
McNames, J [1 ]
Bassale, J [1 ]
Goldstein, B [1 ]
机构：
[1] Portland State Univ, Biomed Signal Proc Lab, Dept Elect Engn, Portland, OR 97207 USA
来源：
SECOND JOINT EMBS-BMES CONFERENCE 2002, VOLS 1-3, CONFERENCE PROCEEDINGS: BIOENGINEERING - INTEGRATIVE METHODOLOGIES, NEW TECHNOLOGIES | 2002年
关键词：
pressure detection; QRS detection; beat detection;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper describes an offline detection algorithm for pressure signals that incorporates heart rate, amplitude, and interbeat intervals to identify the time location of four signal components. The algorithm performance was assessed based on the statistics of the interbeat intervals of the detected componets. The algorithm performed well when applied to arterial blood pressure and intracranial pressure signals acquired from patients in a pediatric intensive care unit.
引用
收藏
页码：196 / 197
页数：2
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