Paper Info
Title
High performance data compression method with pattern matching for biomedical ECG and arterial pulse waveforms.
Abstract
Biomedical waveforms, such as electrocardiogram (ECG) and arterial pulse, always possess a lot of important clinical information in medicine and are usually recorded in a long period of time in the application of telemedicine. Due to the huge amount of data, to compress the biomedical waveform data is vital. By recognizing the strong similarity and correlation between successive beat patterns in biomedical waveform sequences, an efficient data compression scheme mainly based on pattern matching is introduced in this paper. The waveform codec consists mainly of four units: beat segmentation, beat normalization, two-stage pattern matching and template updating and residual beat coding. Three different residual beat coding methods, such as Huffman/run-length coding, Huffman/run-length coding in discrete cosine transform domain, and vector quantization, are employed. The simulation results show that our compression algorithms achieve a very significant improvement in the performances of compression ratio and error measurement for both ECG and pulse, as compared with some other compression methods.
Year
DOI
Venue
2004
10.1016/S0169-2607(03)00022-1
Computer Methods and Programs in Biomedicine
Keywords
Field
DocType
ECG,Arterial pulse waveform,Data compression,Variable-length coding,Discrete cosine transform,Vector quantization
Computer science,Discrete cosine transform,Huffman coding,Vector quantization,Artificial intelligence,Computer vision,Data compression ratio,Pattern recognition,Waveform,Speech recognition,Compression ratio,Data compression,Pattern matching
Journal
Volume
Issue
ISSN
74
1
0169-2607
Citations 
PageRank 
References 
10
0.90
2
Authors
3
Name
Order
Citations
PageRank
Wen-Shiung Chen19312.36
Lili Hsieh2183.08
Shang-Yuan Yuan3202.27