Publication: Eliminate baseline wander in ecg signal by using adaptive filter
Loading...
Date
2008-05-01
Authors
Mohamad Hasan, Mohamad Shahir
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
The electrocardiogram (ECG) signal is an electrical recording of the cardiac activity, which is an indication of the status of the heart. Generally, the recorded ECG signal is often contaminated by noise and artifacts that can be within the frequency band of interest and manifest with similar characteristics as the ECG signal itself. In order to extract useful information from the noisy ECG signals, we need to process the raw ECG signals. Four common noise sources in ECG signal are motion artifact, baseline wander, muscle noise and power line interference. The aim of this project is to eliminate the baseline wander from the ECG signal. In this project, there are two methods in eliminating the wander which are using the adaptive filter and high pass filter technique. For the adaptive filter, the LMS algorithm was used as adaptive filtering algorithm in the project because of its simplicity. In addition, the low pass filter was used as preprocessing part in both methods in order to remove high frequency interference in the raw ECG signal. This project is implemented using Matlab software where the coding and models for the two methods were done. The results from the two methods showing that the baseline wander from the ECG signal have been fixed and high frequency interference as well. Besides, adaptive filter method show a good performance in eliminating the baseline wander compared to high pass filter method.