Multi-Parameter Patient Monitoring Platform With Wireless Transmission

This project measures pulse rate, temperature and records ECG signal of a patient. It predicts the risk of a disorder related to the heart using Artificial Neural Networks (ANN) in the absence of a doctor. This project uses an ECG sensor to measure the electrical activity of the heart using a three electrode system, a heartbeat sensor to measure the heart rate by analyzing the blood flow in index finger, and a temperature sensor to measure the body temperature. Additional parameters such as age, gender, height, weight along with the QRS interval from the recorded ECG is used to predict the risk of a disorder using Artificial Neural Networks (ANN).