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Particle Swarm Optimization algorithm based Adaptive filter for Removal of Baseline Wander Noise from ECG signal


Author : Vikram B. Galphade and P. C. Bhaskar

Pages : 1630-1635
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Abstract

Electrocardiogram (ECG) is very much susceptible to the Noise and Interference, these are may be other different noise sources. Due to the different types of Noises and Interferences ECG Signal gets corrupted and hence data will be lost. Different types of Noises and Interferences like Power Line Noise (50 Hz), Base Line Wonder Noise (0.05 Hz), Muscle contraction or External High Frequency Noise etc. This Paper focus on the Base line Wonder Noise Which is having very small frequency component of 0.05 Hz to 5 Hz. This small frequency components overlap with that of the ECG Signal, due to the overlap ECG signal information gets corrupted. Hence removing the Base Line Wonder Noise we use newly developed Swarm optimization algorithm based on Adaptive Filter. Swarm Optimization Algorithm minimize the noise signal which is present in the noisy ECG signal.

Keywords: Baseline Wander Noise, Adaptive Filter and Swarm Optimization algorithm

Article published in International Journal of Current Engineering and Technology, Vol.5, No.3 (June-2015)

 

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