A Modified Run-Length Coding towards the Realization of a RRO-NRDPWT-Based ECG Data Compression System
2011
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:
- Field-programmable gate array
- Artificial intelligence
- Parallel computing
- Machine learning
- Quantization (signal processing)
- Wavelet
- Wavelet transform
- Lossless compression
- Data compression
- Verilog
- Computer science
- Set partitioning in hierarchical trees
- Theoretical computer science
- Algorithm
- Computer vision
- Embedded system
- Compression ratio
- Correction
- Source
- Cite
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