Wavelet-based ECG compression by bit-field preserving and running length encoding

Hsiao Lung Chan; You Chen Siao; Szi Wen Chen; Shih Fan Yu

doi:10.1016/j.cmpb.2007.11.006

Wavelet-based ECG compression by bit-field preserving and running length encoding

Hsiao Lung Chan^*, You Chen Siao, Szi Wen Chen, Shih Fan Yu

^*Corresponding author for this work

Chang Gung University

Research output: Contribution to journal › Journal Article › peer-review

25 Scopus citations

Abstract

Efficient electrocardiogram (ECG) compression can reduce the payload of real-time ECG transmission as well as reduce the amount of data storage in long-term ECG recording. In this paper an ECG compression/decompression architecture based on the bit-field preserving (BFP) and running length encoding (RLE)/decoding schemes incorporated with the discrete wavelet transform (DWT) is proposed. Compared to complex and repetitive manipulations in the set partitioning in hierarchical tree (SPIHT) coding and the vector quantization (VQ), the proposed algorithm has advantages of simple manipulations and a feedforward structure that would be suitable to implement on very-large-scale integrated circuits and general microcontrollers.

Original language	English
Pages (from-to)	1-8
Number of pages	8
Journal	Computer Methods and Programs in Biomedicine
Volume	90
Issue number	1
DOIs	https://doi.org/10.1016/j.cmpb.2007.11.006
State	Published - 04 2008

Keywords

Bit-field preserving
Discrete wavelet transform
Electrocardiogram compression
Running length encoding

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10.1016/j.cmpb.2007.11.006

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abstract = "Efficient electrocardiogram (ECG) compression can reduce the payload of real-time ECG transmission as well as reduce the amount of data storage in long-term ECG recording. In this paper an ECG compression/decompression architecture based on the bit-field preserving (BFP) and running length encoding (RLE)/decoding schemes incorporated with the discrete wavelet transform (DWT) is proposed. Compared to complex and repetitive manipulations in the set partitioning in hierarchical tree (SPIHT) coding and the vector quantization (VQ), the proposed algorithm has advantages of simple manipulations and a feedforward structure that would be suitable to implement on very-large-scale integrated circuits and general microcontrollers.",

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AB - Efficient electrocardiogram (ECG) compression can reduce the payload of real-time ECG transmission as well as reduce the amount of data storage in long-term ECG recording. In this paper an ECG compression/decompression architecture based on the bit-field preserving (BFP) and running length encoding (RLE)/decoding schemes incorporated with the discrete wavelet transform (DWT) is proposed. Compared to complex and repetitive manipulations in the set partitioning in hierarchical tree (SPIHT) coding and the vector quantization (VQ), the proposed algorithm has advantages of simple manipulations and a feedforward structure that would be suitable to implement on very-large-scale integrated circuits and general microcontrollers.

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Wavelet-based ECG compression by bit-field preserving and running length encoding

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Keywords

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