ECG De-noising using Hybrid Linearization Method

P Sri Lakshmi (Aditya Institute of Technology And Management)
V Lokesh Raju (Aditya Institute of Technology And Management)

Indonesian Journal of Electrical Engineering and Computer Science
Vol 15, No 3: September 2015

Electrocardiogram (ECG) is a non-invasive tool that monitors the electrical activity of the heart. An ECG signal is highly prone to the disturbances such as noise contamination, artifacts and other signals interference. So, an ECG signal has to be de-noised so that the distortions can be eliminated from the original signal for the perfect diagnosing of the condition and performance of the heart. Extended Kalman Filter (EKF) de-noises an ECG signal to some extent. This project proposes a method called Hybrid Linearization Method which is a combination of Extended Kalman Filter along with Discrete Wavelet Transform (DWT) resulting in an improved de-noised signal.