Detecting Cardiovascular Abnormalities Using A Telemetry System Based On Arduino Microcontroller & Smartphones

This project focuses on developing a complete telemetry system in response to the growing demand for efficient, mobile and inexpensive system for detecting cardiovascular abnormalities. Our team has already developed two algorithms. The first algorithm detects various critical points on Electrocardiograph (ECG) waveforms such as: P-wave, QRS complex, T-wave and ST elevation. Based on these points, the second algorithm detects Myocardial Infractions (MI) in a patient. Currently, we are developing a telemetry system that comprises of an Arduino microcontroller and a smartphone. The 12-lead ECG signals are collected from a patient or an ECG simulator. The signals are then sent to an electronic circuit for amplification and filtration. The amplified and filtered signals are collected in the Arduino microcontroller. The microcontroller sends the signals, via Bluetooth, to an Android smartphone application developed by our team. The ECG data is sent from the smartphone to a webserver using 3G or Wi-Fi connectio...