TY - JOUR
T1 - Convolutional Neural Network for Improvement of Heart Valve Disease Detection
AU - Tovar-Corona, Blanca
AU - Flores-Alonso, Santiago Isaac
AU - Luna-García, René
N1 - Publisher Copyright:
© 2022 Instituto Politecnico Nacional. All rights reserved.
PY - 2022
Y1 - 2022
N2 - Heart Valve Disease (HVD) encompasses a number of common cardiovascular conditions that account for a significant percentage of heart diseases. At present, the acoustic phenomena generated by the abnormal functioning of the heart valves can be recorded and digitized using electronic stethoscopes known as phonocardiographs. The analysis of the phonocardiographic signals has made it possible to indicate that the normal and pathological records differ in terms of both temporal and spectral characteristics. The present work describes the construction and implementation of a Deep Learning (DL) algorithm for the binary classification of normal and abnormal heart sounds. The performance of this approach reached an accuracy higher than 98 % and specificities in the "Normal" class of up to 99%.
AB - Heart Valve Disease (HVD) encompasses a number of common cardiovascular conditions that account for a significant percentage of heart diseases. At present, the acoustic phenomena generated by the abnormal functioning of the heart valves can be recorded and digitized using electronic stethoscopes known as phonocardiographs. The analysis of the phonocardiographic signals has made it possible to indicate that the normal and pathological records differ in terms of both temporal and spectral characteristics. The present work describes the construction and implementation of a Deep Learning (DL) algorithm for the binary classification of normal and abnormal heart sounds. The performance of this approach reached an accuracy higher than 98 % and specificities in the "Normal" class of up to 99%.
KW - Artificial intelligence
KW - deep neural network
KW - heart valve disease
KW - phonocardiography
UR - http://www.scopus.com/inward/record.url?scp=85139319087&partnerID=8YFLogxK
U2 - 10.13053/CYS-26-3-4202
DO - 10.13053/CYS-26-3-4202
M3 - Artículo
AN - SCOPUS:85139319087
SN - 1405-5546
VL - 26
SP - 1143
EP - 1150
JO - Computacion y Sistemas
JF - Computacion y Sistemas
IS - 3
ER -