The Hannover ECG program HES has been designed for measurement and interpretation
of resting and (moderate) exercise electrocardiograms. In the signal analysis part
the program follows an averaging strategy. For diagnostic classification a hybrid
model with decision trees and scoring algorithms, and with multivariate probabilistic
tests for derivation of category A statements is applied. The multivariate classification
technique allows to adjust sensitivity and specificity for specific application areas
without changing the diagnostic criteria.
Key-Words
Decision support - Computer ECG analysis - Evaluation