DeepAI AI Chat
Log In Sign Up

Deep Recurrent Learning for Heart Sounds Segmentation based on Instantaneous Frequency Features

01/27/2022
by   Alvaro Joaquín Gaona, et al.
CONICET
University of Buenos Aires
0

In this work, a novel stack of well-known technologies is presented to determine an automatic method to segment the heart sounds in a phonocardiogram (PCG). We will show a deep recurrent neural network (DRNN) capable of segmenting a PCG into its main components and a very specific way of extracting instantaneous frequency that will play an important role in the training and testing of the proposed model. More specifically, it involves a Long Short-Term Memory (LSTM) neural network accompanied by the Fourier Synchrosqueezed Transform (FSST) used to extract instantaneous time-frequency features from a PCG. The present approach was tested on heart sound signals longer than 5 seconds and shorter than 35 seconds from freely-available databases. This approach proved that, with a relatively small architecture, a small set of data, and the right features, this method achieved an almost state-of-the-art performance, showing an average sensitivity of 89.5 predictive value of 89.3% and an average accuracy of 91.3

READ FULL TEXT

page 1

page 3

08/13/2018

Murmur Detection Using Parallel Recurrent & Convolutional Neural Networks

In this article, we propose a novel technique for classification of the ...
11/12/2016

Multi-Language Identification Using Convolutional Recurrent Neural Network

Language Identification, being an important aspect of Automatic Speaker ...
01/27/2022

LiteLSTM Architecture for Deep Recurrent Neural Networks

Long short-term memory (LSTM) is a robust recurrent neural network archi...
08/02/2016

RETURNN: The RWTH Extensible Training framework for Universal Recurrent Neural Networks

In this work we release our extensible and easily configurable neural ne...
04/02/2020

Heart Sound Segmentation using Bidirectional LSTMs with Attention

This paper proposes a novel framework for the segmentation of phonocardi...
01/16/2021

A Novel Approach for Earthquake Early Warning System Design using Deep Learning Techniques

Earthquake signals are non-stationary in nature and thus in real-time, i...