NDLI: ECG noise reduction using empirical mode decomposition based on combination of instantaneous half period and soft-thresholding

Content Provider	IEEE Xplore Digital Library
Author	Samadi, S. Shamsollahi, M.B.
Copyright Year	2014
Description	Author affiliation: Sch. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran (Samadi, S.; Shamsollahi, M.B.)
Abstract	The electrocardiogram (ECG) signal is widely used for diagnosis of various types of cardiac diseases. However, in practical cases, the signal is corrupted by artifacts through the recording process. Thus, denoising of this type of biological signals seems necessary. Several methods have been suggested in recent years for the purpose of ECG denoising; some of which have been based on Empirical Mode Decomposition (EMD). In this paper, an EMD-based approach is proposed which uses the time interval between two adjacent zero crossings within an Intrinsic Mode Function (IMF), defined as Instantaneous Half Period (IHP), to distinguish noise components from the main ECG signal. Noisy signal is decomposed into several IMFs through an iterative algorithm, called the Sifting process. IMFs are later tested by a predefined threshold; and waveforms with a comparatively small IHP are filtered using soft-thresholding technique. The method is fully data-driven, with the optimum threshold derived from a criterion called Consecutive Mean Square Error (CMSE). The accuracy of the developed EMD-based approach is tested on real ECG data from the MIT-BIH database and compared with one of the previously suggested EMD-based methods. Both quantitative and qualitative results of the work are presented.
Starting Page	244
Ending Page	248
File Size	383226
Page Count	5
File Format	PDF
ISBN	9781479947997
ISSN	21654255
DOI	10.1109/MECBME.2014.6783250
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-02-17
Publisher Place	Qatar
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Instantaneous half period Soft-thresholding Empirical mode decomposition Databases Consecutive Mean Square Error Noise reduction Electrocardiogram Electrocardiography Intrinsic mode function Noise measurement Signal to noise ratio Denoising
Content Type	Text
Resource Type	Article

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