DocumentCode :
3000050
Title :
Silicon Implementation of the SPIHT Algorithm for Compression of ECG Records
Author :
Wegmueller, Marc Simon ; Perels, David ; Blaser, Tobias ; Senn, Stephan ; Stadelmann, Philipp ; Felber, Norbert ; Fichtner, Wolfgang
Author_Institution :
Integrated Syst. Lab. (IIS), ETH Zurich, Zurich
Volume :
2
fYear :
2006
fDate :
6-9 Aug. 2006
Firstpage :
381
Lastpage :
385
Abstract :
Wavelet algorithms with subsequent encoders are used in the newest image compression standards such as JPEG2000 including EBCOT. The set partitioning in hierarchical trees (SPIHT) algorithm belongs to the next generation of encoders for wavelet-transformed images employing more sophisticated coding. SPIHT utilizes inherent redundancy among wavelet coefficients and is especially suited for electrocardiogram (ECG) data and color image compression. In this work, we present the first VLSI implementation using a modified SPIHT algorithm (MSPIHT). Compression ratios of up to 20:1 for ECG signals lead to acceptable results for visual inspection by medical doctors.
Keywords :
VLSI; biomedical electronics; data compression; electrocardiography; encoding; medical signal processing; trees (mathematics); wavelet transforms; EBCOT; ECG data compression; ECG signal; JPEG2000; SPIHT algorithm; color image compression; electrocardiogram; encoders; hierarchical trees; set partitioning; silicon implementation; wavelet-transformed images; Biomedical imaging; Color; Electrocardiography; Image coding; Inspection; Partitioning algorithms; Silicon; Transform coding; Very large scale integration; Wavelet coefficients;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2006. MWSCAS '06. 49th IEEE International Midwest Symposium on
Conference_Location :
San Juan
ISSN :
1548-3746
Print_ISBN :
1-4244-0172-0
Electronic_ISBN :
1548-3746
Type :
conf
DOI :
10.1109/MWSCAS.2006.382292
Filename :
4267370
Link To Document :
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