Date: 05-11-2021
Student: Xuan Gao, Milla Rahmadiva
All our simulations are tested on MATLAB R2021b

Electrocardiogram (ECG) dates back to 1842 when electrical activities of heart were first discovered. In 1942, Dutch physiologist W. Einthoven received the Nobel Prize in Physiology or Medicine for his groundbreaking invention of electrocardiograph. After decades of development, ECG has been extensively used as an auxiliary measure in clinical diagnosis. It captures electrical signals generated by heart through which doctors can identify abnormal cardiac activities. Specifically, ECG is a function of time that tracks the sinus rhythm (Figure 1) of heart by placing electrodes on the skin. However, the signals can be distorted by various types of noise that could potentially entail misdiagnosis. As such, signal processing tools are essential to extract clean signals from the noisy measurements. In this project, we will deal with both stationary cases (e.g. white Gaussian noise) and non-stationary ones (e.g. electrode motion artifact). We pick and implement 4 appropriate filters from EE4C03 course that gives good performances.

Please follow the steps below.

Install the following Add-on on MATLAB: DSP System Toolbox, Signal Processing Toolbox.

git clone https://github.com/xuangao6/EE4C03_ADAPTIVE_ECG_NOISE_CANCELLATION/tree/master

There are 1 instance for the data ECG_database.mat and 5 instances for MATLAB codes in which ee4c03_main.m is the main file for our project.

For the main file, open ee4c03_main.m located at .\EE4C03_ADAPTIVE_NOISE_CANCELLATION\ee4c03_main.m.

For LMS algorithm, open LMS.m located at .\EE4C03_ADAPTIVE_NOISE_CANCELLATION\LMS.m.

For NLMS algorithm, open LMS.m located at .\EE4C03_ADAPTIVE_NOISE_CANCELLATION\NLMS.m.

For RLS algorithm, open LMS.m located at .\EE4C03_ADAPTIVE_NOISE_CANCELLATION\RLS.m.

For PSD algorithm, open LMS.m located at .\EE4C03_ADAPTIVE_NOISE_CANCELLATION\PSD.m.

Run ee4c03_main.m, then you will get the same results as the figures located at .\EE4C03_ADAPTIVE_NOISE_CANCELLATION\figures.

Make sure that all 6 files (ECG_database.mat and 5 MATLAB files) are in the same folder.

Our referenced papers are located at .\EE4C03_ADAPTIVE_NOISE_CANCELLATION\papers.