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Denoising Baseline Wander Noise from Electrocardiogram Signal using Fast ICA with Multiple Adjustments

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 99 - Number 2
Year of Publication: 2014
Nevi Jain
Devendra Kumar Shakya

Nevi Jain and Devendra Kumar Shakya. Article: Denoising Baseline Wander Noise from Electrocardiogram Signal using Fast ICA with Multiple Adjustments. International Journal of Computer Applications 99(2):34-39, August 2014. Full text available. BibTeX

	author = {Nevi Jain and Devendra Kumar Shakya},
	title = {Article: Denoising Baseline Wander Noise from Electrocardiogram Signal using Fast ICA with Multiple Adjustments},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {99},
	number = {2},
	pages = {34-39},
	month = {August},
	note = {Full text available}


The electrocardiogram (ECG) is widely utilitarian for prognostic of heart diseases. Quality and utilization of ECG signal is affected by different noises and hence it is very difficult to measure important parameter to know the exact condition of heart. Baseline wander is one type of noise which is normally seen in ECG signal. This artifact severally limits the usefulness of recorded ECG signals and thus need to be removed for better clinical appraisal. Independent component analysis (ICA) is a statistical technique for estimating a multidimensional random vector into components that are statistically not dependent from each other. This paper proposed the implementation of fast ICA with multiple adjustments for removing baseline wander noise effect from ECG. Simulation results demonstrate that the proposed method is better in denoised the baseline wander noise from ECG signal.


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