Earticle

초록

영어

In this paper, a new ECG compression method called Wavelet Threshold Based Immune Algorithm (WTBIA) is proposed. This method based on finding the best threshold level for each wavelet subband using Immune Algorithm (IA). The WTBIA algorithm consists of three main steps: 1) Applying 1-D Discrete Wavelet Transform (DWT) on ECG signal; 2) Thresholding of wavelet coefficients in each subband; and 3) Minimization of the Percent Root mean square Difference (PRD) and maximization of the Compression Ratio (CR) using IA. The main advantage of this method is finding the best threshold level for each subband based on the required CR and PRD. The compression algorithm was implemented and tested upon records selected from the MIT-BIH arrhythmia database [6] using different wavelets such as Haar, Daubechies, Coiflet, Symlet and Biorthogonal. Simulation results show that the proposed algorithm leads to high CR associated with low distortion level relative to previously reported compression algorithms.

목차

Abstract
 1. Introduction
 2. Related Work
 3. The Proposed WTBIA Method
  3.1 Discrete Wavelet Transform
  3.2 Thresholding Process
  3.3 Immune Algorithm
 4. Experiments Results and Discussion
 5. Conclusions
 References

키워드

저자

• Mohammed Abo-Zahhad [ Electrical and Electronics Engineering Department, Faculty of Engineering, Assiut University, Assiut, Egypt ]
• Sabah M. Ahmed [ Electrical and Electronics Engineering Department, Faculty of Engineering, Assiut University, Assiut, Egypt ]
• Nabil Sabor [ Electrical and Electronics Engineering Department, Faculty of Engineering, Assiut University, Assiut, Egypt ]
• Ahmad F. Al-Ajlouni [ Communication Engineering Department, Hijjawi Faculty for Engineering Technology, Yarmouk University, Irbid, Jordan ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605