Early diagnosis of any disease leads to better options to recover. Unfortunately, in rural and remote areas most of the patients die due to lack of health monitoring facilities. This project aims to regulate the health care by analyzing vital health parameters using cheap and portable sensor-based smart health care solution. The sensors detect the physiological signals including body temperature, pulse rate, ECG, and environmental parameters including air quality and humidity, and send alerts in case of abnormal readings. The abnormality is being detected by making use of some advance Machine Learning Algorithms.
Developed by:
2016-UAM-348 2016-UAM-311 2016-UAM-319
Arif Maqsood Ahmad Farooq M AhtashamAslam
Supervised by: Dr. Abdul Razzaq