IoT based maternal health risk detection system
| dc.contributor.advisor | Bhuian, Dr. Mohammed Belal | |
| dc.contributor.advisor | Bhuian, Dr. Mohammed Belal | |
| dc.contributor.author | Tabassum, Tasnia | |
| dc.contributor.author | Zaman, Saklain | |
| dc.contributor.author | Khan, Ananya | |
| dc.contributor.author | Rahman, Kazi Nafiur | |
| dc.date.accessioned | 2024-01-16T06:36:11Z | |
| dc.date.available | 2024-01-16T06:36:11Z | |
| dc.date.issued | 2022-12 | |
| dc.description | Cataloged from PDF version of final year design project | |
| dc.description | Includes bibliographical references (pages 95-98). | |
| dc.description | This 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. | |
| dc.description.abstract | Bangladesh 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. | |
| dc.identifier.other | ID: 19121011 | |
| dc.identifier.other | ID: 18121088 | |
| dc.identifier.other | ID: 18121087 | |
| dc.identifier.other | ID: 18110004 | |
| dc.identifier.other | https://dspace.bracu.ac.bd/server/api/core/items/9051e207-1c0a-4416-9a92-1633b1b1f291 | |
| dc.identifier.uri | http://hdl.handle.net/10361/22161 | |
| dc.language.iso | en | |
| dc.publisher | Brac University | |
| dc.source | BRAC University Institutional Repository | |
| dc.subject | MMR | |
| dc.subject | IoT | |
| dc.subject | Maternal health | |
| dc.subject | Maternal health risk | |
| dc.title | IoT based maternal health risk detection system | |
| dc.type | Project Report |
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