Document Detail


A stochastic network model of the interaction between cardiac rhythm and artificial pacemaker.
MedLine Citation:
PMID:  8288275     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The electrical interaction between the heart and an artificial pacemaker is often complex. Because of the sophistication and diversity of dual-chamber device algorithms, even experienced cardiologists can have difficulty interpreting paced electrocardiograms (ECG's). In order to study heart-pacemaker interaction (HPI), a computer model of the cardiac conduction system has been developed which includes the effects of artificial pacemaker function and failure. The stochastic network model of cardiac conduction consists of five vertices, each representing a functional electrophysiologic element. Electrophysiologic multidimensional conditional probability functions determine the depolarization status of each vertex. The atrioventricular (AV) node is emulated using a mathematical model which includes the influence of past cycle lengths on AV nodal conduction time. Twenty-three classes of arrhythmias may be simulated and, for pacing simulation, one of 12 antibradycardia pacing modes may be chosen. Random effects of pacemaker malfunction including oversensing, undersensing, or failure-to-capture may be simulated through the use of probability distribution functions. This model should prove useful in the development of pacemaker algorithms, determining patient-specific pacemaker therapy, and predicting causes for apparent pacemaker malfunction. The model has been used in the development of an expert system to analyze paced ECG's for pacemaker function and malfunction.
Authors:
S E Greenhut; J M Jenkins; R S MacDonald
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.    
Journal Detail:
Title:  IEEE transactions on bio-medical engineering     Volume:  40     ISSN:  0018-9294     ISO Abbreviation:  IEEE Trans Biomed Eng     Publication Date:  1993 Sep 
Date Detail:
Created Date:  1994-02-24     Completed Date:  1994-02-24     Revised Date:  2009-11-11    
Medline Journal Info:
Nlm Unique ID:  0012737     Medline TA:  IEEE Trans Biomed Eng     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  845-58     Citation Subset:  IM    
Affiliation:
Applied Research Division, Telectronics Pacing Systems, Inc., Englewood, CO 80112.
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Arrhythmias, Cardiac / physiopathology
Computer Simulation*
Electrocardiography*
Equipment Design
Equipment Failure
Expert Systems
Heart Conduction System / physiology
Heart Rate
Humans
Models, Cardiovascular*
Pacemaker, Artificial* / adverse effects
Stochastic Processes*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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