Aboamer MM, Azar AT, Wahba K, Mohamed ASA (2014). Linear model-based estimation of blood pressure and cardiac output for Normal and Paranoid cases. Neural Computing and Applications, 25(6): 1223-1240 Springer. DOI: 10.1007/s00521-014-1566-4 [ISI Indexed: Impact Factor: 1.763].
|Authors:||Mohamed Abdelkader Aboamer, Ahmad Taher Azar, Khaled Wahba, Abdallah S. A. Mohamed|
|Full paper||Not Available|
|Supplementary materials||Not Available|
Provisioning a generic simple linear mathematical model for Paranoid and Healthy cases leading to auxiliary investigation of the neuroleptic drugs effect imposed on cardiac output (CO) and blood pressure (BP). Multi-input single output system identification in consistency with the Z-Transform is considered an essential role in the exploration of linear discrete system identification. Twenty Paranoid and 20 Healthy peer cases have been chosen to lie under study. The generated CO model forming two poles and two zeros produced a root–mean-squared error (RMSE) of 0.109 and an average RMSE of 1.39 due to Paranoid cases. On the other hand, Healthy cases obtained model held three poles and two zeros with RMSE equal to 0.17 and an average of 0.63. The BP model with four poles and two zeros showed a 2.15 and 21.69 for RMSE and an average RMSE, respectively, for Paranoid cases, whereas seven poles and two zeros provided an RMSE of 5.7 and an average RMSE of 17.19 for Healthy cases. The obtained results were provided a generic models of CO with promising outcomes for Paranoid and Healthy cases. Moreover, the BP model has less and yet acceptable results in both Paranoid and Healthy cases.