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An effective and efficient compression algorithm for ECG signals with irregular periods
Hsiao-Hsuan Chou1, Ying-Jui Chen, Yu-Chien Shiau
1Department of Electrical Engineering, National Taiwan University, Taipei, ROC. hh.hhchou@gmail.com
IEEE Transactions on Bio-Medical Engineering
|June 10, 2006
Summary
This study introduces a novel 2-D preprocessing algorithm for electrocardiogram (ECG) compression, enhancing the compression of irregular heart signals. The method improves compression ratio and accuracy, outperforming existing techniques.
Area of Science:
- Biomedical Engineering
- Signal Processing
- Medical Imaging
Background:
- Electrocardiogram (ECG) signals are crucial for diagnosing cardiac conditions.
- Efficient compression of ECG data is vital for storage and transmission.
- Existing compression methods struggle with irregular ECG signal patterns.
Purpose of the Study:
- To develop an effective and efficient preprocessing algorithm for two-dimensional (2-D) ECG compression.
- To improve the compression of irregular ECG signals by exploiting inter- and intra-beat correlations.
- To achieve high compression ratio (CR) with low error metrics (PRD, MaxErr, StdErr).
Main Methods:
- Converting ECG signals into a 2-D image representation through QRS detection, alignment, period sorting, and length equalization.
- Utilizing the JPEG2000 image compression algorithm on the 2-D ECG data.
- Implementing a period sorting method to create a smoother image for compression.
Main Results:
- The proposed algorithm outperforms existing methods in ECG compression.
- Achieved simultaneous high CR, low PRD, low MaxErr, and low StdErr.
- Demonstrated insensitivity to irregular ECG periods and QRS false detections.
Conclusions:
- The novel 2-D preprocessing algorithm offers superior ECG compression, especially for irregular signals.
- The method's flexibility allows integration with other preprocessing techniques or codecs.
- This approach significantly advances 2-D ECG compression technology.