Denoising of ECG signals using wavelet shrinkage with time-frequency dependant treshold

Nikolay Nikolaev, Atanas Gotchev

Research output: Contribution to journalConference articleScientificpeer-review

10 Citations (Scopus)

Abstract

A method for ECG denoising based 011 wavelet shrink- age approach has been investigated. We have proposed a shrinkage threshold which is high for the non- informative wavelet coefficients and low for the informative coefficients. We have set up limitations for the difference between the thresholds of even two adjacent coefficients throughout the scales in order to avoid Gibbs effects.

Original languageEnglish
JournalEuropean Signal Processing Conference
Volume1998-January
Publication statusPublished - 1998
Externally publishedYes
Publication typeA1 Journal article-refereed
Event9th European Signal Processing Conference, EUSIPCO 1998 - Island of Rhodes, Greece
Duration: 8 Sep 199811 Sep 1998

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Denoising of ECG signals using wavelet shrinkage with time-frequency dependant treshold'. Together they form a unique fingerprint.

Cite this