Title
Estimation of Echocardiogram parameters with the aid of Impedance Cardiography and Artificial Neural Networks
Abstract
•ICG with the aid of ANN, is used for the estimation of echocardiogram parameters.•The methodology determine SV, LVESV, LVEDV, LVEF, IVCT, IVRT, LVET, TST, TDT, & MPI.•The error margins are ±8.9%, ±3.8%, ±1.4%, ±7.8%, ±16.0%, ±9.0%, ±9.7%, ±6.9%, ±6.2%, & ±0.9%.•The results predicted are compared with doppler based echocardiogram.•The methodology could be used by any individual to monitor one’s cardiac health.
Year
DOI
Venue
2019
10.1016/j.artmed.2019.02.002
Artificial Intelligence in Medicine
Keywords
Field
DocType
Impedance cardiography,Artificial neural networks,Stroke volume,Ejection fraction,Myocardial performance index
Hemodynamics,Stroke volume,Data mining,Ejection fraction,Impedance cardiography,Internal medicine,Diastole,Computer science,Cardiology,Left Ventricular Ejection Time,End-diastolic volume,Artificial neural network
Journal
Volume
ISSN
Citations 
96
0933-3657
0
PageRank 
References 
Authors
0.34
0
5