Research Area:  Machine Learning
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.
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Author(s) Name:  Luca Brunese, Fabio Martinelli, Francesco Mercaldo, Antonella Santone
Journal name:  Procedia Computer Science
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Publisher name:  ELSEVIER
DOI:  10.1016/j.procs.2020.09.257
Volume Information:  Volume 176, 2020, Pages 2202-2211
Paper Link:   https://www.sciencedirect.com/science/article/pii/S187705092032161X