Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/10510
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dc.contributor.authorKyada, Rinkal-
dc.date.accessioned2022-01-21T08:59:23Z-
dc.date.available2022-01-21T08:59:23Z-
dc.date.issued2021-06-01-
dc.identifier.urihttp://10.1.7.192:80/jspui/handle/123456789/10510-
dc.description.abstractAs per the current situation of covid-19, it’s very risky for doctors to go and check the admitted patients regularly, so for this purpose IOT based health monitoring system is very useful. The proposed system will measure the temperature, glucose, heart rate, and blood pressure of the patient in the hospital, and on the other side, the doctor can observe the patient’s health condition based on sensor data, and as per the data, he will proceed further. Bluetooth Low Energy, it’s a wireless personal area network technology. BLE carries 2 to 8 Maximum Bluetooth peer devices. commonly, 1 master and up to 7 slaves in one peer. BLE operates in the 2.4 GHz ISM band. It is designed and marketed by Bluetooth Special Interest Group. It is a wireless technology for a wide range of applications and as compared to previous Bluetooth technology this reduces the power consumption, small in size, and cost while maintaining a similar communication range with the device. BLE technology works on Mobile Operating Systems. In the proposed system, patients who are suffering from diabetes, blood pressure, cholesterol will automatically measure their BP, glucose level, oxygen, and pulse rate regularly after sensing the data, it will be sent automatically to the monitoring center and also data will get stored in Cloud for future use. If someday the level of Glucose or BP will cross the decided limit, an emergency SMS automatically sends to the registered mobile number.en_US
dc.publisherInstitute of Technologyen_US
dc.relation.ispartofseries19MECE17;-
dc.subjectEC 2019en_US
dc.subjectProject Report 2019en_US
dc.subjectEC Project Reporten_US
dc.subjectEC (ES)en_US
dc.subjectEmbedded Systemsen_US
dc.subjectEmbedded Systems 2019en_US
dc.subject19MECen_US
dc.subject19MECEen_US
dc.subject19MECE17en_US
dc.titleAutomatic Health Monitoring System Using BLEen_US
dc.typeDissertationen_US
Appears in Collections:Dissertation, EC (ES)

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