Help system for medical diagnosis of the electrocardiogram

Abstract

This presentation is part of a work that aims to create an interactive learning medical system of ECG events and pathologies diagnose. The system can be seen as an interactive game in wish the user will practice with ECG signal of several pathologies For this purpose an algorithm was developed that detects the events of the ECG in MATLAB. This paper is focus on the discussion of the algorithm, connections between the ECG and the heart physiology listing several pathologies and their respective ECG patterns. A preparatory smoothing of the signal is performed. The algorithm is now only applicable to the normal ECG. It is based in correlation of events within a period of the ECG, and finds the P wave and T wave searching the peaks under a confined region of the smoothed signal.