An attentive spatio-temporal learning-based network for cardiovascular disease diagnosis
D Jyotishi, S Dandapat - IEEE Transactions on Systems, Man …, 2023 - ieeexplore.ieee.org
Automated diagnosis of cardiovascular diseases (CVDs) has become an imperative need
for remote or in-hospital heart monitoring. This is a challenging task because of the tenuous …
for remote or in-hospital heart monitoring. This is a challenging task because of the tenuous …
[PDF][PDF] Deep Learning Algorithms in the Detection of Cardiovascular Diseases Using Electrocardiogram Data
S Aarons, J Fisher, J Rosenthal - projects.cs.uct.ac.za
Statistics published in 2019 by the World Health Organisation indicate that Cardiovascular
Diseases (CVDs) account for 32% of global deaths [80]. Approximately 17.9 million people …
Diseases (CVDs) account for 32% of global deaths [80]. Approximately 17.9 million people …
[PDF][PDF] The Application of Deep Neural Networks for the Detection of Myocardial Infarction by Electrocardiogram
J Fisher - projects.cs.uct.ac.za
ABSTRACT A literature review was performed to establish the effectiveness of deep neural
networks (DNNs) for the detection of Myocardial Infarction (MI) using electrocardiogram …
networks (DNNs) for the detection of Myocardial Infarction (MI) using electrocardiogram …