IoT based maternal health risk detection system

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dc.contributor.advisorBhuian, Dr. Mohammed Belal
dc.contributor.advisorBhuian, Dr. Mohammed Belal
dc.contributor.authorTabassum, Tasnia
dc.contributor.authorZaman, Saklain
dc.contributor.authorKhan, Ananya
dc.contributor.authorRahman, Kazi Nafiur
dc.contributor.departmentDepartment of Electrical and Electronic Engineering
dc.date.accessioned2024-01-16T06:36:11Z
dc.date.available2024-01-16T06:36:11Z
dc.date.copyright2022
dc.date.issued2022-12
dc.descriptionCataloged from PDF version of final year design project
dc.descriptionIncludes bibliographical references (pages 95-98).
dc.descriptionThis final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2022.en_US
dc.description.abstractBangladesh has a high Maternal Mortality Rate (MMR) which means a lot of women die every year due to pregnancy related health risks and complications. This is a serious problem in the world today and with the help of IoT we can connect doctors to patients more efficiently and reduce the risk of death in an emergency. In this project we developed an IoT based health monitoring system that tracks the patients’ vital health parameters and connects her to the doctor via a mobile application.en_US
dc.description.degreeB. Electrical and Electronic Engineering
dc.description.statementofresponsibilityTasnia Tabassum
dc.description.statementofresponsibilitySaklain Zaman
dc.description.statementofresponsibilityAnanya Khan
dc.description.statementofresponsibilityKazi Nafiur Rahman
dc.format.extent110 pages
dc.identifier.otherID: 19121011
dc.identifier.otherID: 18121088
dc.identifier.otherID: 18121087
dc.identifier.otherID: 18110004
dc.identifier.urihttp://hdl.handle.net/10361/22161
dc.language.isoenen_US
dc.publisherBrac Universityen_US
dc.rightsBrac University project reports 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.subjectMMRen_US
dc.subjectIoTen_US
dc.subjectMaternal healthen_US
dc.subjectMaternal health risken_US
dc.subject.lcshInternet of things
dc.titleIoT based maternal health risk detection systemen_US
dc.typeProject Reporten_US

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Thesis & Design Report (Bachelor of Science in Electrical and Electronic Engineering)