Project Description
The Adaptive ECG (Electrocardiogram) Filter is designed to reduce noise on an ECG signal caused by MRI (Magnetic Resonance Imaging) machines. The ECG is a non-invasive system that provides critical data of a patient’s heart activity. While a patient is undergoing a MRI scan, the MRI machine radiates electromagnetic energy that interferes with the electronic ECG signal received from the patient. Our device collects the ECG signals and the gradient signals (noise interference) and applies the Least Mean Square algorithm to subtract out the gradients from the ECG signal to obtain a diagnostic quality ECG. The Least Mean Square algorithm is adaptive meaning that it learns how to filter the signal over time, which means that it is able to be applied to multiple MRI machines that have slightly different magnetic noise interference. This project provides a working platform to test adaptive filtering