NDLI: Ensemble empirical mode decomposition-based optimised power line interference removal algorithm for electrocardiogram signal

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Ensemble empirical mode decomposition-based optimised power line interference removal algorithm for electrocardiogram signal

Content Provider	IET Digital Library
Author	Jebaraj, Jenitta Arumugam, Rajeswari
Abstract	This study proposes an optimised algorithm to remove power line interference (PLI) from electrocardiogram (ECG) signal based on ensemble empirical mode decomposition (EEMD). A computationally efficient algorithm is one of the important requirements for real-time monitoring of cardio activities and diagnosis of arrhythmias. Computational complexity in EEMD is significantly reduced by using the EMD as the preprocessing stage. The noisy ECG signal is decomposed into intrinsic mode functions (IMFs) using EMD. ECG signals which are affected by PLI are automatically identified based on the simple ratio of the zero crossing number of IMF components. EEMD is used to decompose only ECG segments constructed from the noisy IMF components. The proposed algorithm is evaluated by real ECG signals available in MIT-BIH arrhythmia database in terms of signal-to-noise ratio and root mean square error. The computational efficiency of this new framework is measured using MATLAB profiling functions and compared with EMD, EEMD, sign-based adaptive and EMD with wavelet-based methods. Results show that the proposed algorithm performs better than the EMD, EEMD, sign-based adaptive and EMD with wavelet-based methods and it is computationally more efficient than EMD and EEMD methods.
Starting Page	583
Ending Page	591
Page Count	9
ISSN	17519675
Volume Number	10
e-ISSN	17519683
Issue Number	Issue 6, Aug (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/10/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2015.0292
Journal	IET Signal Processing
Publisher Date	2016-08-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Bioelectric Signal Biology And Medical Computing Cardio Activity Computational Complexity Decomposition Digital Signal Processing EEMD Electrocardiogram Signal Electrocardiography Electrodiagnostics And Other Electrical Measurement Technique Electromagnetic Compatibility Ensemble Empirical Mode Decomposition IMF Component Interference Interference Suppression Interpolation And Function Approximation MATLAB Profiling Function Mean Square Error Method Medical Signal Processing MIT-BIH Arrhythmia Database Noisy ECG Signal Decomposition Numerical Analysis Numerical Approximation And Analysis Optimised Power Line Interference Removal Algorithm PLI Root Mean Square Error Sign-based Adaptive Function Signal Processing And Detection Signal to Noise Ratio Wavelet-based Method
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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