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<strong>An adaptive denoising approach to powerline interference reduction in ECG recording</strong>

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Title Statement <strong>An adaptive denoising approach to powerline interference reduction in ECG recording</strong>
 
Added Entry - Uncontrolled Name Kumar, Manoharan Suresh; College of Engineering Guindy, Anna University, Chennai 600 025, Tamil Nadu, India
Krishnamoorthy, Ganapathy ; College of Engineering Guindy, Anna University, Chennai 600 025, Tamil Nadu, India
Vaithiyanathan, Dhandapani ; Department of Electronics and Communication Engineering, National Institute of Technology Delhi, Delhi 110 040, India
 
Uncontrolled Index Term Synchrosqueezing transform, Adaptive filter, Intrinsic mode function, Powerline interference, Modified discrete cosine transform
 
Summary, etc. <p class="MDPI17abstract">The objective of this paper is to develop an adaptive denoising algorithm for the reduction of powerline interference (PLI) in electrocardiogram (ECG) recording. The problem of mode mixing and inability to deal with non-stationary characteristics have the major drawbacks posed by existing PLI removal techniques. The technique used in the proposed work has been combined with the concept of synchrosqueezing transform with an adaptive filter to overcome such limitations. The synchrosqueezing transform has facilitated as a mode decomposition tool to disintegrate the signal into a set of intrinsic mode functions and then applying adaptive filter on decomposition results to estimate PLI so as to recover noise free ECG. The performance assessment of the proposed techniques have been carried out with several established ECG database available in physio net and its adaptability to powerline frequency drift has also been studied. A comparative analysis has been conducted to validate the proposed techniques. Experimental results have suggested that the proposed SST based PLI reduction approaches provide better denoising effect than state of the art methods.</p>
 
Publication, Distribution, Etc. Indian Journal of Engineering and Materials Sciences (IJEMS)
2021-01-15 10:26:31
 
Electronic Location and Access application/pdf
http://op.niscair.res.in/index.php/IJEMS/article/view/44866
 
Data Source Entry Indian Journal of Engineering and Materials Sciences (IJEMS); ##issue.vol## 27, ##issue.no## 4 (2020): IJEMS- AUGUST 2020
 
Language Note en
 
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