The goal of the 2016 PhysioNet/CinC Challenge is the development of an algorithm to classify normal/abnormal heart sounds.A total of 124 time-frequency features were extracted from the phonocardiogram (PCG) and input to a variant of the AdaBoost classifier.A second classifier using convolutional neural network (CNN) was trained using PCGs cardiac cycles decomposed into four frequency bands.The final decision rule to classify normal/abnormal heart sounds was based on an ensemble of classifiers combining the outputs…