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Methods Inf Med 1990; 29(04): 337-340
DOI: 10.1055/s-0038-1634797
ECG Interpretation Systems
Schattauer GmbH

Methodology of ECG Interpretation in the AVA Program

H. V. Pipberger
1   Veterans Affairs Medical Center, Washington DC, and Department of Computer Medicine, George Washington University, Washington DC, U.S.A
,
C. D. McManus
1   Veterans Affairs Medical Center, Washington DC, and Department of Computer Medicine, George Washington University, Washington DC, U.S.A
,
H. A. Pipberger
1   Veterans Affairs Medical Center, Washington DC, and Department of Computer Medicine, George Washington University, Washington DC, U.S.A
› Author AffiliationsThis article was supported by the Medical Research Service of the Department of Veterans Affairs and by Research Grant HL 15047 from the National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD.
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Publication History

Publication Date:
06 February 2018 (online)

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Abstract

The AVA program combines a thirty-year history with an approach that remains innovative; namely: multivariate statistical analysis on orthogonal ECG leads. Its diagnostic reference base includes only diagnoses independently verified by non-ECG criteria. The diagnostic module assesses probabilities of nine alternative disease categories, based on QRS-T parameters; or four other categories in case of conduction defects. Probabilities of left or right atrial overload are also computed. The program also recognizes wall injury, T-wave abnormalities, electrolyte disturbances, myocardial ischemia, and makes differential diagnoses between strain and digitalis effects. An arrhythmia classification module can generate any of 40 rhythm statements. Signal recognition is based on the spatial velocity function. The program has been translated to a microcomputer version.

Key-Words

Electrocardiography - Signal Analysis - Computer-Assisted Diagnosis
 

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