The electrocardiogram (ECG) is a diagnostic tool that measures and records the electrical activity of the heart. Interpretation of the ECG allows diagnosis of a wide range of heart conditions. Standard 12-Lead Electrocardiography gives a measure of cardiac activity with high temporal resolution.
Multi-channel ECG (64 leads) as an extension of the conventional 12-Lead ECG gives temporal as well as spatial resolution. So analysis of Multi-Channel-ECGs can detect temporally and spatio-temporally changes in the ECG morphology.

The morphology, amplitude and time of occurrence of the P-wave has got lot of significance, due to its diagnostic importance in the case of repolarization abnormalities.

The aim of this work is to use existing algorithms to extract and analyse the t-wave and apply them on Multi-Channel-ECGs measured at the Universitätsklinikum Heidelberg. The ECGs are measured in rest and under stress condition to see the relationship between heart rate and the morphology of the t-wave. Results will be shown in a Body Surface Potential Map as graphical presentation of cardiac activity.