DocumentCode :
2216771
Title :
ECG signal compression based on MSPIHT algorithm
Author :
Wang, Zhelong ; Chen, Ying
Author_Institution :
Sch. of Electron. & Inf. Eng., Dalian Univ. of Technol., Dalian
fYear :
2008
fDate :
30-31 May 2008
Firstpage :
415
Lastpage :
419
Abstract :
A new electrocardiogram (ECG) signal compression algorithm named modified set partitioning in hierarchical trees (MSPIHT), which is based on the SPIHT algorithm, has been proposed in this paper. Several measures have been taken to improve the SPIHT algorithm and these measures includes that the lifting wavelet transform is adopted, the extended zerotree structure is redefined, and the threshold optimization. Simulation experiments by using the MSPIHT algorithm and several other compression algorithms have been conducted to verify the validity of the MSPIHT algorithm and test its performance. The experimental results show that the proposed MSPIHT algorithm is valid and can achieve the better compression performance than other compression algorithms based on the wavelet transform.
Keywords :
data compression; electrocardiography; encoding; medical signal processing; optimisation; trees (mathematics); wavelet transforms; ECG signal compression; MSPIHT algorithm; electrocardiogram; extended zerotree structure; lifting wavelet transform; modified set partitioning in hierarchical trees; threshold optimization; Biomedical measurements; Compression algorithms; Data compression; Electrocardiography; Frequency; Neural networks; Parameter extraction; Partitioning algorithms; Testing; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Applications in Biomedicine, 2008. ITAB 2008. International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-2254-8
Electronic_ISBN :
978-1-4244-2255-5
Type :
conf
DOI :
10.1109/ITAB.2008.4570530
Filename :
4570530
Link To Document :
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