Universiti Teknologi Malaysia Institutional Repository

Prediction blood pressure parameter by using neuro-fuzzy model

Fahmi Ariaff, Mohd. Faizz (2013) Prediction blood pressure parameter by using neuro-fuzzy model. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering.



Blood pressure is the most often measured and intensively studied in medical and physiological practice because it is the valuable diagnostic aid to access the vascular condition of certain illnesses. As known that high blood pressure is the biggest known cause of disability and premature death through stroke, heart attack and heart disease. In this case, accurate blood pressure measurement and prediction need to be conducted. This project is mainly concerned on designing a model that can predict the Mean Arterial Pressure. By this project development, SPSS software used to decide the parameter that correlate with the blood pressure parameter based on Mean Arterial Pressure. Then utilizes the Neuro-Fuzzy model using MATLAB as the mainframe. This project is based on certain age and a number of subjects patient.

Item Type:Thesis (Masters)
Additional Information:Thesis (Sarjana Kejuruteraan (Elektrik - Mekatronik dan Kawalan Automatik)) - UniversitiTeknologi Malaysia, 2013; Supervisor : Dr. Fatimah Sham Ismail
Uncontrolled Keywords:blood pressure, measurement, fuzzy logic
Subjects:R Medicine > R Medicine (General)
Divisions:Electrical Engineering
ID Code:39165
Deposited On:25 Jun 2014 04:03
Last Modified:13 Jul 2017 04:46

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