Estimation of echocardiogram parameters with the aid of impedance cardiography and artificial neural networks

作者：

Highlights：

• 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.

摘要

•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.

论文关键词：Impedance cardiography,Artificial neural networks,Stroke volume,Ejection fraction,Myocardial performance index

论文评审过程：Received 1 August 2018, Revised 6 January 2019, Accepted 13 February 2019, Available online 8 March 2019, Version of Record 25 March 2019.

论文官网地址：https://doi.org/10.1016/j.artmed.2019.02.002