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An efficient coding algorithm for the compression of ECG signals using the wavelet transform.

Bashar A Rajoub¹

¹Department of Electrical and Communications Engineering, Yarmouk University, Irbid, Jordan. bashar@ieee.org

IEEE Transactions on Bio-Medical Engineering

|April 11, 2002

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An effective coding technique for the compression of one-dimensional signals using wavelet transforms.

Medical engineering & physics·2002

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A novel wavelet-based algorithm significantly compresses electrocardiogram (ECG) data. This method achieves high compression ratios with minimal data loss, outperforming existing techniques for efficient medical signal storage and transmission.

Area of Science:

Biomedical Engineering
Signal Processing
Data Compression

Background:

Electrocardiogram (ECG) data requires efficient compression for storage and transmission.
Existing compression methods may not achieve optimal balance between compression ratio and signal fidelity.

Purpose of the Study:

To propose and evaluate a novel wavelet-based algorithm for ECG data compression.
To demonstrate the algorithm's superior performance compared to existing methods.

Main Methods:

Preprocessing of ECG signals.
Application of Discrete Wavelet Transform (DWT).
Thresholding of DWT coefficients and generation of a binary significance map.
Compression using variable-length coding and direct binary representation.

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Main Results:

Achieved a compression ratio of 24:1 for MIT-BIH record 117.
Maintained a low percent root mean square difference (PRD) of 1.08%.
Demonstrated superior performance over direct-based and other wavelet-based algorithms.

Conclusions:

The proposed wavelet-based algorithm offers effective ECG data compression.
The method provides a significant improvement in compression ratio while preserving signal quality.
This technique is promising for clinical applications requiring efficient ECG data management.