System Design for Baseline Wander Removal of ECG Signals with Empirical Mode Decomposition using Matlab
Sasikumar Gurumurthy1, Valarmozhi2
1Sasikumar Gurmurthy, School of Computing Science and Engineering, VIT University, Vellore, Tamil Nadu, India.
2Valarmozhi, Information Technology, Veltech Hightech Dr. Rangaraja Dr. Sakunthala Engineering College, Avadi, Chennai, Tamil Nadu, India.
Manuscript received on June 04, 2013. | Revised Manuscript received on June 28, 2013. | Manuscript published on July 05, 2013. | PP: 85-92 | Volume-3 Issue-3, July 2013. | Retrieval Number: C1609073313/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The electrocardiogram (ECG) records the cardiac activity and it is extensively used for diagnosis of heart diseases. It is also an essential tool to allow monitoring patient sat home, thereby advancing telemedical applications. Even though these contributions are for different projects, the issue common to each is the use of ECG for remote monitoring and assistance under different telecommunication platforms. The transmission of ECG often introduces noise due to poor channel conditions. In this paper, we propose a new method for removing the baseline wander interferences based on Empirical Mode Decomposition (EMD). EMD is a relatively new, data-driven adaptive technique used to decompose ECG signals into a series of Intrinsic Mode Functions (IMFs).The baseline wander is mainly involved in special lower frequency IMFs. To evaluate the performance of the method, Clinic ECG signals are used. Results indicate that the method is powerful and useful in removing the baseline wander in ECG signal and does not distort the ECG signals.
Keywords: Baseline Wander, Empirical mode decomposition, Electro cardio Gram, Intrinsic Mode Functions.