Islam Ismail Mohamed Ahmed  <br/><br/>
Non linear model-based prediction of cardiac output for depression and normal cases /  
 نموذج غير خطي إعتمادا علي التنبؤ بالنتاج القلبي لحالات الاكتئاب والحالات الطبيعيه 
Islam Ismail Mohamed Ahmed ; Supervised Khaled M. Wahba , Ahmad Taher Azar  
 - Cairo :   Islam Ismail Mohamed Ahmed ,   2016 
 - 113 P.  :   facsimiles ;   30cm 
<br/><br/>Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering   
<br/><br/> 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) 
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<br/><br/><label>Subjects--Index Terms: </label>Heart Rate SISO transfer function System Identification