Multiadaptive Bionic Wavelet Transform: Application to ECG Denoising and Baseline Wandering Reduction

Omid Sayadi,Mohammad B Shamsollahi

doi:10.1155/2007/41274

Omid Sayadi, Mohammad B Shamsollahi

Open Access

https://doi.org/10.1155/2007/41274

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Abstract

We present a new modified wavelet transform, called the multiadaptive bionic wavelet transform (MABWT), that can be applied to ECG signals in order to remove noise from them under a wide range of variations for noise. By using the definition of bionic wavelet transform and adaptively determining both the center frequency of each scale together with the -function, the problem of desired signal decomposition is solved. Applying a new proposed thresholding rule works successfully in denoising the ECG. Moreover by using the multiadaptation scheme, lowpass noisy interference effects on the baseline of ECG will be removed as a direct task. The method was extensively clinically tested with real and simulated ECG signals which showed high performance of noise reduction, comparable to those of wavelet transform (WT). Quantitative evaluation of the proposed algorithm shows that the average SNR improvement of MABWT is 1.82 dB more than the WT-based results, for the best case. Also the procedure has largely proved advantageous over wavelet-based methods for baseline wandering cancellation, including both DC components and baseline drifts.

Highlights

The heart is a hollow muscular organ which through a coordinated muscle contraction generates the force to circulate blood throughout the body
To show that multiadaptive bionic wavelet transform (MABWT) is appropriate for ECG denoising we have used two types of ECG signals, both simulated and real ones
The signals were decomposed using MABWT up to 40 scales depending on the different values of q that was optimally selected using (12)

Summary

Introduction

The heart is a hollow muscular organ which through a coordinated muscle contraction generates the force to circulate blood throughout the body. Each beat of our heart is triggered by an electrical impulse from special sinus node cells in the atrium. The electrical impulse travels to other parts of the heart and causes the heart to contract. An electrocardiogram (ECG) records these electrical signals. A normal ECG describes the electrical activity in the heart, and can be decomposed in characteristic components, named the P, Q, R, S, and T waves.

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