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Seismocardiogram (SCG) interpretation using neural networks
Marius O. Poliac
, John M. Zanetty
, David Salerno
,
George L. Wilcox
Neuroscience
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
9
Scopus citations
Overview
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Keyphrases
Neural Network
100%
Seismocardiogram
100%
Heart Disease
50%
Output Value
33%
Coronary Artery Disease
16%
Early Detection
16%
Low Risk
16%
Disease-based
16%
Subtle Change
16%
Artificial Neural Network
16%
Relative Performance
16%
Multi-layered Neural Networks
16%
Overlearning
16%
Optimal Learning
16%
Immunology and Microbiology
Coronary Artery
100%
Artificial Neural Network
100%
Overlearning
100%
Biochemistry, Genetics and Molecular Biology
Artificial Neural Network
100%
Overlearning
100%
Coronary Artery Disease
100%
Pharmacology, Toxicology and Pharmaceutical Science
Heart Disease
100%
Coronary Artery Disease
33%
Veterinary Science and Veterinary Medicine
Diseases
100%
Artificial Neural Network
25%
Neuroscience
Neural Network
100%