DocumentCode
1595671
Title
A Zero Padding SVD Encoder to Compress Electrocardiogram
Author
Agulhari, Cristiano M. ; Bonatti, Ivanil S. ; Peres, Pedro L D
Author_Institution
State Univ. of Campinas, Campinas
fYear
2009
Firstpage
434
Lastpage
434
Abstract
A new method to compress electrocardiogram (ECG) signals, whose novelty is related to the choice of an appropriate basis of representation for each ECG, is proposed in this paper. The ZPSVD method is compared to the method presented, which is an ECG compression method based on the application of the SVD and presents good results. The experiments have shown that the ZPSVD method yields better compression ratios for all the cases analysed.
Keywords
data compression; electrocardiography; encoding; medical signal processing; singular value decomposition; ECG compression; electrocardiogram; signal compression; zero padding SVD encoder; Data compression; Distortion; Electrocardiography; Electronic mail; Encoding; Filters; Quantization; Singular value decomposition; Wavelet coefficients; Wavelet transforms; Data compression; ECG; Singular values decomposition.; electrocardiogram signals;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression Conference, 2009. DCC '09.
Conference_Location
Snowbird, UT
ISSN
1068-0314
Print_ISBN
978-1-4244-3753-5
Type
conf
DOI
10.1109/DCC.2009.48
Filename
4976488
Link To Document