الفهرس 
Non linear model-based prediction of cardiac output for depression and normal cases
SummaryOnly 14 pages are availabe for public view
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Abstract
Mental Depression is associated with an increased risk of cardiovascular mortality, therefore, provisioning a generic simple nonlinear mathematical model for Cardiac Output (CO) of Depression and Normal cases could be an effective tool to investigate the effect of neuroleptic medication especially depression. The proposed models using System identification single input such as Heart Rate (HR) or Stroke Volume (SV) and single output such as CO in consistency with the Autoregressive which considered as a main role in nonlinear discrete system identification. 74 Depressed and 74 Normal peer cases are chosen to lie under research. Four models have been provided. However the obtained four general models for Depression and Normal cases could be a good contribution in neuroleptic medications field specially depression but HR showed the minimum average root mean square error (RMSE)