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| dc.contributor.author | Hasnain Ali Cheema, 01-133152-047 | |
| dc.contributor.author | Nimrah Malik, 01-133152-107 | |
| dc.contributor.author | Saba Noor, 01-133152-125 | |
| dc.date.accessioned | 2020-08-24T10:53:30Z | |
| dc.date.available | 2020-08-24T10:53:30Z | |
| dc.date.issued | 2019 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/9719 | |
| dc.description | Supervised by Dr. Saleem Aslam | en_US |
| dc.description.abstract | Diagnosis, and monitoring of health is a very imperative task in healthcare industry. Rural areas of Pakistan deprived of major healthcare services on real time basis continuously and regularly. Previous systems and devices are based on real time monitoring. With the use of modern technology, we have developed an end to end platform for self-diagnosis, teleconferencing and monitoring which includes hardware layer (health sensors), computational layer (machine learning) and interface layer (Website and Android Application). This device provides a real-time cost-effective solution and on large scale deployment it offers a huge connectivity between rural and urban areas of Pakistan | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Electrical Engineering, Bahria University Engineering School Islamabad | en_US |
| dc.relation.ispartofseries | BS (EE);P-0342 | |
| dc.subject | Electrical Engineering | en_US |
| dc.title | Smart health care unit (SHCU) (P-0342) (MFN 8557) | en_US |
| dc.type | Project Report | en_US |