전자공학회논문지B (Journal of the Korean Institute of Telematics and Electronics B)
- 제33B권12호
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- Pages.45-61
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- 1996
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- 1016-135X(pISSN)
웨이브렛 변환과 적응 프랙탈 보간을 이용한 심전도 데이터 압축
ECG data compression using wavelet transform and adaptive fractal interpolation
초록
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 cmpression. In this algorithm, the AFI is applied into the low frequency part of WT. The MIT/BIH arhythmia 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 wihtout any entropy coding.
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