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Data processing through biosensors and development of simulation software in windows & RT-Linux

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dc.contributor.advisor Azad, AKM Abdul Malek Razin, Kazi Mohammed Hossain, Jonayet Oyon, Mahmudul Hasan 2012-04-05T06:29:55Z 2012-04-05T06:29:55Z 2012 2012-04-05
dc.identifier.other ID 09221067
dc.identifier.other ID 09221060
dc.identifier.other ID 09221214
dc.description This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2012.
dc.description Cataloged from PDF version of thesis report.
dc.description Includes bibliographical references (page 42-44).
dc.description.abstract Solving real life problems are often very time demanding due to the high sensitivity of the system such as biomedical devices which are actually used to get data to represent the critical state of a human or animal body. There are some important indicators of human health those include ECG, SPO2, Temperature and Blood pressure. By monitoring those indicators the current state of any human health is possible to determine and hence necessary steps can be taken. Therefore the Real Time monitoring of the health indicators signals is very important in Biomedical Engineering. In our approach we have experimentally proved and did the signal processing of important biomedical signals using Windows and Linux OS. For Linux we have used Red hat enterprise Linux 4 and RT Linux which are soft real time and hard real time operating system respectively. The data acquisition system of the signals has been done through a data acquisition Card and interfacing of the system to computer has been done both in Windows and Linux. We did it to make a comparison between the time dependencies of signals in different operating system under multitasking environment. So our objectives are to make a Real time signal processing systems and software for biomedical devices as well as to compare the time delay of the measurement system under 2 operating systems. We approached it by choosing three health indicators signals which are ECG, SPO2 and Temperature. en_US
dc.description.statementofresponsibility Kazi Mohammed Razin
dc.description.statementofresponsibility Jonayet Hossain
dc.description.statementofresponsibility Mahmudul Hasan Oyon
dc.format.extent 59 pages
dc.language.iso en en_US
dc.publisher BRAC University
dc.rights BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subject Electrical and electronic engineering
dc.title Data processing through biosensors and development of simulation software in windows & RT-Linux en_US
dc.type Thesis en_US
dc.contributor.department Department of Electrical and Electronic Engineering, BRAC University B. Electrical and Electronic Engineering

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