DocumentCode
3072034
Title
Quality Controlled ECG Compression using Maxlift and Medlift Transforms
Author
Aggarwal, Vibha ; Patterh, Manjeet Singh
Author_Institution
ECE, COE, Punjabi Univ. Neighborhood Campus, Rampura
fYear
2009
fDate
6-7 March 2009
Firstpage
40
Lastpage
43
Abstract
A new quality controlled Maxlift and Medlift transforms based compression methods for electrocardiogram (ECG) signal are presented. The ECG signal is transformed using Maxlift and Medlift. The transformed coefficients are thresholded using the bisection algorithm in order to match the predefined user specified percentage root mean square difference (PRD) within the tolerance. Then, the binary lookup table is made to store the position map for zero and non-zero coefficients (NZC). The NZC are quantized by Max-Lloyd quantizer followed by Arithmetic codng. Lookup table is encoded by Huffman coding. The results are presented on different ECG signals of varying characteristics. The results show that Medlift gives better performance as compared to the Maxlift.
Keywords
Huffman codes; arithmetic codes; data compression; electrocardiography; medical signal processing; quality control; quantisation (signal); transforms; Huffman coding; Max-Lloyd quantizer; arithmetic coding; binary lookup table; bisection algorithm; electrocardiogram; encoding; maxlift transform; medlift transform; nonzero coefficient; percentage root mean square difference; quality controlled ECG compression; Chromium; Discrete wavelet transforms; Electrocardiography; Fourier transforms; Heart; Karhunen-Loeve transforms; Pulse modulation; Root mean square; Signal processing; Signal processing algorithms; ECG compression; Maxlift; Medlift; PRD; quality controlled;
fLanguage
English
Publisher
ieee
Conference_Titel
Advance Computing Conference, 2009. IACC 2009. IEEE International
Conference_Location
Patiala
Print_ISBN
978-1-4244-2927-1
Electronic_ISBN
978-1-4244-2928-8
Type
conf
DOI
10.1109/IADCC.2009.4808977
Filename
4808977
Link To Document