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dc.contributor.advisorAzad, AKM Abdul Malek
dc.contributor.authorRazin, Kazi Mohammed
dc.contributor.authorHossain, Jonayet
dc.contributor.authorOyon, Mahmudul Hasan
dc.date.accessioned2012-04-05T06:29:55Z
dc.date.available2012-04-05T06:29:55Z
dc.date.copyright2012
dc.date.issued2012-04-05
dc.identifier.otherID 09221067
dc.identifier.otherID 09221060
dc.identifier.otherID 09221214
dc.identifier.urihttp://hdl.handle.net/10361/1756
dc.descriptionThis thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2012.
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (page 42-44).
dc.description.abstractSolving 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.statementofresponsibilityKazi Mohammed Razin
dc.description.statementofresponsibilityJonayet Hossain
dc.description.statementofresponsibilityMahmudul Hasan Oyon
dc.format.extent59 pages
dc.language.isoenen_US
dc.publisherBRAC University
dc.rightsBRAC 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.subjectElectrical and electronic engineering
dc.titleData processing through biosensors and development of simulation software in windows & RT-Linuxen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Electrical and Electronic Engineering, BRAC University
dc.description.degreeB. Electrical and Electronic Engineering


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