DropConnected neural networks trained on time-frequency and inter-beat features for classifying heart sounds.
Journal:
Physiological measurement
Published Date:
Jul 31, 2017
Abstract
OBJECTIVE: Automatic heart sound analysis has the potential to improve the diagnosis of valvular heart diseases in the primary care phase, as well as in countries where there is neither the expertise nor the equipment to perform echocardiograms. An algorithm has been trained, on the PhysioNet open-access heart sounds database, to classify heart sounds as normal or abnormal.