A parallel implementation of a multi-state Kalman filtering algorithm to detect ECG arrhythmias.

D F Sittig; K H Cheung

doi:10.1007/bf01145898

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A parallel implementation of a multi-state Kalman filtering algorithm to detect ECG arrhythmias.

D F Sittig·K H Cheung

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Abstract

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.

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Algorithms Arrhythmias, Cardiac Cardiovascular System Diagnosis, Computer-Assisted Electrocardiography Humans Models, Biological Monitoring, Physiologic Software Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.

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D F Sittig, K H Cheung. 1992. A parallel implementation of a multi-state Kalman filtering algorithm to detect ECG arrhythmias.. https://doi.org/10.1007/bf01145898

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