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Deep Learning for Heart Disease Detection through Cardiac Sounds - 2020

Deep Learning For Heart Disease Detection Through Cardiac Sounds

Research Area:  Machine Learning

Abstract:

Most of death causes are related to cardiovascular disease. In fact, there are several anomalies afflicting the heart beat, for instance heart murmur or artefact. We propose a method for heart disease detection. By gathering a set of feature obtainable directly from cardiac sounds, we consider this feature vector as input for a deep neural network to discriminate whether a cardiac sound is belonging to an healthy or to a patient with a cardiac disease. The experiment we performed demonstrated the effectiveness of the proposed approach in real-world environment.

Keywords:  

Author(s) Name:  Luca Brunese, Fabio Martinelli, Francesco Mercaldo, Antonella Santone

Journal name:  Procedia Computer Science

Conferrence name:  

Publisher name:  ELSEVIER

DOI:  10.1016/j.procs.2020.09.257

Volume Information:  Volume 176, 2020, Pages 2202-2211