Heart Sound Segmentation using Bidirectional LSTMs with Attention.

Objective: This paper proposes a novel framework for the segmentation of phonocardiogram (PCG) signals into heart states, exploiting the temporal evolution of the PCG as well as considering the salient information that it provides for the detection of the heart state. Methods: We propose the use of recurrent neural networks and exploit recent advancements in attention based learning to segment the...