Remote Health Care
Remote health checkups using AI and providing the data from health sensors to doctors over the Internet..
The data were collected from ECG and other health sensors using NodeMCU as a microcontroller. The collected data was sent to a Django server through Rest API. The data after it was received by the server was saved into the database. The doctor will be able to view the health record of the patient and provide the necessary prescription. The 1-D CNN model was also trained on the ECG data to predict different classes of arrhythmia. This project was presented in the 5th International Workshop on Effective Engineering Education during the Sakura Science Exchange Program hosted by the National Institute of Technology in Japan.
Slides: 5th IWEEE
Github repo: remote-health-care
Technologies used: Tensorflow, Django, HTML, CSS, Bootstrap, NodeMCU