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A Modified Run-Length Coding towards the Realization of a RRO-NRDPWT-Based ECG Data Compression System

  • Hsieh-Wei Lee
  • King-Chu Hung
  • Tsung-Ching Wu
  • Cheng-Tung Ku
Open Access
Research Article

Abstract

The wavelet-based approach that combines a reversible round-off nonrecursive discrete periodized wavelet transform (RRO-NRDPWT) and the set partitioning in hierarchical trees (SPIHT) scheme is an efficient ECG data compression. However, this RRO-NRDPWT-based system suffers from the high complexity of the SPIHT scheme during realization. In this paper, a modified run-length coding (MRLC) algorithm is proposed towards the realization of a RRO-NRDPWT-based ECG data compression system. The MRLC with its regularity and low computational complexity is suitable for hardware implementation, but at a cost of compression performance. This sacrifice is compensated by an efficient quantization scheme. By using the MIT-BIH arrhythmia database, the experimental results show that the proposed scheme can compete with the SPIHT scheme for a compression ratio (CR) greater than 8. Hardware simulations are taken using both the Verilog logic simulator with Cadence design platform, and a Xilinx FPGA EP2C35F672C6.

Keywords

Quantum Information Efficient Quantization Compression Ratio Hardware Implementation Full Article 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Hsieh-Wei Lee et al. 2011

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Authors and Affiliations

  • Hsieh-Wei Lee
    • 1
  • King-Chu Hung
    • 1
  • Tsung-Ching Wu
    • 1
  • Cheng-Tung Ku
    • 1
  1. 1.Department of Computer and Communication EngineeringNational Kaohsiung First University of Science and TechnologyTaiwan

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