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Related Experiment Videos

[The application of lossless compression algorithm for ECG data in HOLTER].

X Jiang1, J Ma

  • 1Fudan University.

Zhongguo Yi Liao Qi Xie Za Zhi = Chinese Journal of Medical Instrumentation
|July 1, 1997
PubMed
Summary
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To reduce costs for long-term Holter monitoring, this study compresses electrocardiogram (ECG) data using differential pulse-code modulation (DPCM) and Huffman/Arithmetic coding, achieving a 2-4 compression ratio.

Area of Science:

  • Biomedical Engineering
  • Digital Signal Processing
  • Medical Informatics

Context:

  • Advancements in Holter monitoring necessitate longer recording durations.
  • Cost-effective solutions are required for widespread adoption of extended Holter recordings.
  • Efficient electrocardiogram (ECG) data compression is crucial for managing large datasets.

Purpose:

  • To investigate methods for compressing ECG data for long-term Holter recordings.
  • To reduce the storage and transmission costs associated with prolonged ECG monitoring.
  • To evaluate the effectiveness of DPCM, Huffman coding, and Arithmetic coding for ECG data compression.

Summary:

  • The study proposes a two-stage ECG data compression technique.
  • The first stage employs differential pulse-code modulation (DPCM) to reduce data value range.

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  • The second stage utilizes Huffman and Arithmetic coding for further data reduction, achieving compression ratios of 2-4.
  • These methods are implementable on microprocessors.

    • Impact:

    • Enables more cost-effective and accessible long-term Holter monitoring.
    • Facilitates the storage and transmission of extensive ECG data.
    • Supports the development of advanced ambulatory cardiac monitoring systems.