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dc.contributor.advisorMohsin, Abu S.M.
dc.contributor.authorOhana, Fariha Islam
dc.contributor.authorRahmina, Nabita
dc.contributor.authorAhmed, Farin
dc.contributor.authorBasak, Anindita
dc.date.accessioned2022-01-17T06:04:02Z
dc.date.available2022-01-17T06:04:02Z
dc.date.copyright2021
dc.date.issued2021-09
dc.identifier.otherID 18121028
dc.identifier.otherID 18110003
dc.identifier.otherID 18121039
dc.identifier.otherID 18121002
dc.identifier.urihttp://hdl.handle.net/10361/15944
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2021.en_US
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 107-111).
dc.description.abstractThis research inspects the monitoring of pregnant women and children using the Internet of Things in the modern healthcare system. The main focus is to ensure the safety of pregnant women and their children. Through our current project, we put forward a system that can firmly influence the standard of living for pregnant women and children positively. Our IoT-based device can monitor temperature & humidity, stress, and fetal heart rate. We can also use this device to monitor a child's health parameters. The microcontroller collects all the data of these parameters with the help of sensors and sends these data to the ThingSpeak server via Wi-Fi module ESP8266 and further analyzes it. This system is fully automated to be able to notify the user and an emergency contact in case of emergency whenever any sensor threshold value crosses. Our second device, which incorporates fall detection along with the monitoring of the pregnant woman’s heart rate and SpO2, is integrated with a vaccination reminder system that will notify the user about the immunization dates and the vaccine to be provided on a particular day. Through the different sensors incorporated in the devices, we can get all the specific health-related parameters of the pregnant woman and her child. The motive is to unobtrusively obtain crucial information about the health status of pregnant women and their children.en_US
dc.description.statementofresponsibilityFariha Islam Ohana
dc.description.statementofresponsibilityNabita Rahmina
dc.description.statementofresponsibilityFarin Ahmed
dc.description.statementofresponsibilityAnindita Basak
dc.format.extent125 pages
dc.language.isoenen_US
dc.publisherBrac Universityen_US
dc.rightsBrac University theses 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.subjectIoTen_US
dc.subjectIoT health monitoring systemen_US
dc.subjectPregnant women and childen_US
dc.subjectFall detectionen_US
dc.subjectVaccination reminderen_US
dc.subject.lcshInternet of things
dc.titleIoT based health monitoring system for pregnant women & childrenen_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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