Prediction blood pressure parameter by using neuro-fuzzy model

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 thro...

Full description

Saved in:

Bibliographic Details
Main Author:	Fahmi Ariaff, Mohd. Faizz
Format:	Thesis
Language:	English
Published:	2013
Subjects:	R Medicine (General)
Online Access:	http://eprints.utm.my/id/eprint/39165/5/MohdFaizzFahmiAriaffMFKE2013.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utm-ep.39165
record_format	uketd_dc
spelling	my-utm-ep.391652017-07-13T04:46:10Z Prediction blood pressure parameter by using neuro-fuzzy model 2013-06 Fahmi Ariaff, Mohd. Faizz R Medicine (General) 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. 2013-06 Thesis http://eprints.utm.my/id/eprint/39165/ http://eprints.utm.my/id/eprint/39165/5/MohdFaizzFahmiAriaffMFKE2013.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	R Medicine (General)
spellingShingle	R Medicine (General) Fahmi Ariaff, Mohd. Faizz Prediction blood pressure parameter by using neuro-fuzzy model
description	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.
format	Thesis
qualification_level	Master's degree
author	Fahmi Ariaff, Mohd. Faizz
author_facet	Fahmi Ariaff, Mohd. Faizz
author_sort	Fahmi Ariaff, Mohd. Faizz
title	Prediction blood pressure parameter by using neuro-fuzzy model
title_short	Prediction blood pressure parameter by using neuro-fuzzy model
title_full	Prediction blood pressure parameter by using neuro-fuzzy model
title_fullStr	Prediction blood pressure parameter by using neuro-fuzzy model
title_full_unstemmed	Prediction blood pressure parameter by using neuro-fuzzy model
title_sort	prediction blood pressure parameter by using neuro-fuzzy model
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2013
url	http://eprints.utm.my/id/eprint/39165/5/MohdFaizzFahmiAriaffMFKE2013.pdf
_version_	1747816544154419200

Prediction blood pressure parameter by using neuro-fuzzy model

Similar Items