Evaluation of Wavelet Based Methods in Removing Motion Artifact from ECG Signal

  • S. Abbaspour
  • H. Gholamhosseini
  • M. Linden
Part of the IFMBE Proceedings book series (IFMBE, volume 48)

Abstract

Accurate recording and precise analysis of the electrocardiogram (ECG) signals are crucial in the pathophysiological study and clinical treatment. These recordings are often corrupted by different artifacts. The aim of this study is to propose two different methods, wavelet transform based on nonlinear thresholding and a combination method using wavelet and independent component analysis (ICA), to remove motion artifact from ECG signals. To evaluate the performance of the proposed methods, the developed techniques are applied to the real and simulated ECG data. The results of this evaluation are presented using quantitative and qualitative criteria. The results show that the proposed methods are able to reduce motion artifacts in ECG signals. Signal to noise ratio (SNR) of the wavelet technique is equal to 13.85. The wavelet-ICA method performed better with SNR of 14.23.

Keywords

ECG Motion artifact Wavelet transform ICA 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • S. Abbaspour
    • 1
  • H. Gholamhosseini
    • 2
  • M. Linden
    • 1
  1. 1.School of Innovation, Design and EngineeringMälardalen UniversityVästeråsSweden
  2. 2.School of EngineeringAuckland University of TechnologyAucklandNew Zealand

Personalised recommendations