This page shows all publications that appeared in the IASI annual research reports. Authors currently affiliated with the Institute are always listed with the full name.

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Show all publications of the year  2003, with author Giorgi A., in the category IASI Research Reports (or show them all):

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IASI Research Report n. 588   


De Gaetano A., Giorgi A., Risi A., Marco Sciandrone

A patient adaptable ECG beat classifier based on neural networks

ABSTRACT

A novel supervised neural network-based algorithm is designed to reliably distinguish in electrocardiographic (ECG) records between normal and ischemic beats of the same patient. The proposed approach is based on the idea of defining the ECG digital recording of two consecutive R-wave segments (RRR interval) as the pattern under classification. In particular, the strategy is that of considering the RRR interval recording as a noisy sample of an underlying function, which is approximated by means of an a-priori defined number of Radial Basis Functions (RBF). The coefficients of the linear expansion consitute the features extracted from the RRR interval, and become the input signal of a feed-forward neural classifier, which provides an output of zero for the normal one and one for the ischemic case. The whole system has been evaluated using several patient records taken from the European ST-T database. The experimental results show that the proposed beat classifier is very reliable, and that it may be a useful practical tool for the automatic detection of ischemic episodes.