Proceedings of the KOSOMBE Conference (대한의용생체공학회:학술대회논문집)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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ECG Data Compression Using Wavelet Transform and Adaptive Fractal Interpolation

웨이브렛 변환과 적응 프랙탈 보간을 이용한 심전도 데이터 압축

  • Lee, W.H. (Department of Biomedical Engineering, College of Health Science, Yonsei University) ;
  • Yoon, Y.R. (Department of Biomedical Engineering, College of Health Science, Yonsei University) ;
  • Park, S.J. (Ergonomics Lab., Korea Research Institute of Standards and Science)
  • 이우희 (연세대학교 보건과학대학 의용전자공학과) ;
  • 윤영로 (연세대학교 보건과학대학 의용전자공학과) ;
  • 박세진 (한국 표준과학연구소 인간공학연구실)
  • Published : 1996.11.15
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Abstract

This paper presents the ECG data compression using wavelet transform(WT) and adaptive fractal interpolation(AFI). The WT has the subband coding scheme. The fractal compression method represents any range of ECG signal by fractal interpolation parameters. Specially, the AFI used the adaptive range sizes and got good performance for ECG data compression. In this algorithm, the AFI is applied into the low frequency part of WT. The MIT/BIH arrhythmia data was used for evaluation. The compression rate using WT and AFI algorithm is better than the compression rate using AFI. The WT and AFI algorithm yields compression ratio as high as 21.0 without any entroy coding.

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