1. A method for automating the identification of meaningful features and the formulation of expert rules for classifying magnetocardiography data, comprising: applying a wavelet transform to sensed data acquired from sensors sensing magnetic fields generated by a patient's heart activity, resulting in wavelet domain data; applying a kernel transform to said wavelet domain data, resulting in transformed data; and identifying said meaningful features and formulating said expert rules from said transformed data, using machine learning.