PHYSIOLOGIC TREND DETECTION AND ARTIFACT REJECTION - A PARALLEL IMPLEMENTATION OF A MULTISTATE KALMAN FILTERING ALGORITHM

被引：20

作者：

SITTIG, DF ^{[1
]}

FACTOR, M ^{[1
]}

机构：

[1] YALE UNIV, DEPT COMP SCI, MED INFORMAT PROGRAM, NEW HAVEN, CT 06520 USA

来源：

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE | 1990年 / 31卷 / 01期

关键词：

Artifact rejection; Kalman filter; Parallel computing; Physiologic monitoring; Trend identification;

D O I：

10.1016/0169-2607(90)90026-6

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Using a parallel implementation of the multi-state Kalman filtering algorithm, we have developed an accurate method of reliably detecting and identifying trends, abrupt changes, and artifacts from multiple physiologic data streams in real-time. The Kalman filter algorithm was implemented within an innovative software architecture for parallel computation: a parallel trecess trellis. Examples, processed in real-time, of both simulated and actual data serve to illustrate the potential value of the Kalman filter as a tool in physiologic monitoring. © 1990.

引用

页码：1 / 10

页数：10

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