Abstract
Wavelet-based methods are mostly used for electrocardiogram (ECG) compression. By decomposing an ECG signal into multilevel wavelet coefficients, post-hoc encoding reduces the number of data bits for which the morphological characteristics can be still retained. ECG compression has a regular, data-independent manipulation that benefits implementation of very-large-scale integration (VLSI). This paper proposes VLSI architectures for ECG compression/decompression based on 3-level lifting discrete wavelet transform, bit-field preserving, and running-length encoding/decoding. The proposed architectures were implemented using Verilog hardware description language and verified in the Simulink and field-programmable gate array through the System Generator. Based on the MIT/BIH arrhythmia database, the compression ratio was 6.06 ± 0.22 with an accepted rate of 98.96% by a cardiologist when the lengths of the preserved bit-fields were set to 6, 4, 2, and 0 for the a 3, d 3, d 2, and d 1 wavelet coefficients.
| Original language | English |
|---|---|
| Pages (from-to) | 331-338 |
| Number of pages | 8 |
| Journal | Journal of Medical and Biological Engineering |
| Volume | 31 |
| Issue number | 5 |
| DOIs | |
| State | Published - 2011 |
Keywords
- Bit-field preserving
- Data compression
- Electrocardiogram (ECG)
- Very-large-scale integration (VLSI)
- Wavelet transform