The approach to system identification is a data-driven approach that constructs a mathematical system model that has been widely applied to astronomy, automatic control, economics and society. Currently, in the field of biomedical engineering, device recognition is widely used. The behaviour of the system is defined by a series of procedures in which the chemical and physical properties are defined by each step. With the rapid advancement of science and technology in various disciplines, the status of the device identification method is becoming increasingly important. This article presents both linear and non-linear identification of the system. Briefly, the Autoregressive Exogenous (ARX) method was clarified, and finally, the applications in the biomedical engineering field based on ARX system recognition were presented.
Author (s) Details
Dr. Aws Zuhair Sameen
Department of Medical Instrumentation Engineering Techniques, College of Medical Techniques, Al-Farahidi University,Baghdad, Iraq
Dr. Rosmina Jaafar
Department Electrical, Electronic & Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), Bangi, Malaysia.
Dr. Mohammed Hasan Alwan
Department of Communication, Faculty of Engineering, University of Diyala, Baqubah, Iraq.
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