A PARALLEL IMPLEMENTATION OF A MULTISTATE KALMAN FILTERING ALGORITHM TO DETECT ECG ARRHYTHMIAS

被引：12

作者：

SITTIG, DF

CHEUNG, KH

机构：

[1] Yale Center for Medical Informatics, c/o Department of Anesthesiology, Yale University School of Medicine, New Haven, 06510, CT

来源：

INTERNATIONAL JOURNAL OF CLINICAL MONITORING AND COMPUTING | 1992年 / 9卷 / 01期

关键词：

KALMAN FILTER; ARRHYTHMIA; ELECTROCARDIOGRAM; PARALLEL COMPUTING; SIGNAL PROCESSING; MONITORING;

D O I：

10.1007/BF01145898

中图分类号：

R614 [麻醉学];

学科分类号：

100217 ;

摘要：

Detecting arrhythmias from the electrocardiogram (ECG) is of great importance for the continued development of intelligent cardiovascular monitors (ICM). An ICM's main goal is to present to the clinician a 'high-level' analysis of the patient's condition (e.g., the patient is slightly hypovolemic) based upon 'low-level' physiologic signals (e.g., blood pressure, heart rate, etc.). This paper reports on a parallel implementation of a multi-state Kalman filtering algorithm, within a prototype ICM, to help detect ECG arrhythmias. Preliminary test results show that the parallel, multi-state implementation performed exactly as the original sequential version. Several different rhythm disturbances were correctly identified after 3-5 beats. We conclude that our parallel implementation of the multi-state Kalman filter provides a faster and still reliable means of accurately detecting ECG arrhythmias in real-time.

引用

页码：13 / 22

页数：10

共 21 条

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