An inverse solution in electrocardiography in the frequency domain

Most methods which have been applied to the inverse problem in electrocardiography operate in the time domain of the data and use regularization techniques which minimize a measure based on total squared error. These methods have important weaknesses for clinical applications. Recent results have shown that frequency-domain parameters can be used successfully in detection, localization, and quantification schemes for the important case of myocardial ischemia. It is therefore worthwhile to investigate frequency-domain reconstructions techniques which have the potential to avoid these weaknesses. The authors explain one such technique, based on the minimum-relative-entropy reconstruction principle and discuss its application to this problem.<>