Abstract
The automatic vectorcardiogram analysis (AVA 3.4) program developed by Pipberger and associates has a unique manner of using multivariate statistics to make morphological diagnoses of the QRS and P waveforms. This scheme produces statements of probabilities for up to seven different QRS diagnoses and three different P wave diagnoses. It would require a complicated protocol with a very large population to establish the validity of this approach. However we have described a simple method for evaluating that part of an ECG program which is independent of its criteria or clinical accuracy. Poor performance on this test obviates the need for more time-consuming clinical evaluation. Results of applying this test to the AVA 3.4 program are reported.
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