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EXPLORING THE NON-LOCAL SIMILARITY PRESENT IN VARIATIONAL MODE FUNCTIONS FOR EFFECTIVE ECG DENOISING

Citation Author(s):
Pratik Singh, Gayadhar Pradhan
Submitted by:
Pratik Singh
Last updated:
13 April 2018 - 12:49am
Document Type:
Presentation Slides
Document Year:
2018
Event:
Presenters:
Pratik Singh
Paper Code:
BISP-L3.5
 

In the presented work, noisy ECG signal is decomposed into variational mode functions (VMFs) using variational mode decomposition (VMD) technique. The decomposed VMFs represents the different frequency band of the noisy ECG signal. The non-local similarity present in each VMFs were exploited using NLM estimation for effective ECG denoising. The two-stage VMD decomposition and NLM estimation process is performed on different set of VMFs at both stages. The proposed method is tested upon MIT-BIH Arrhythmia database. The denoising performance of existing techniques is compared to proposed method. The computed results shows that the proposed method gives superior denoising performance.

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