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
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;
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
DOI :
10.1109/IADCC.2009.4808977