Title :
Polynomial Vector Quantization for ECG Compression
Author :
Rahman, M.E. ; Haque, M.A.
Author_Institution :
Bangladesh Univ. of Eng. & Technol., Dhaka
Abstract :
This paper demonstrates a novel method of compressing electrocardiogram (ECG) that uses a specially designed vector quantization (VQ) codebook. Codebook having different types of polynomials such as straight line, second order, fourth order and ECG segment approximated is generated and applied to the ECG of MIT-BIH database. The results show that a compression ratio of about 70 is achievable at a low PRD (percent of root-mean-square difference) of 2.10. The proposed method outperforms many recently published ones.
Keywords :
electrocardiography; medical signal processing; polynomials; vector quantisation; ECG compression; electrocardiogram; fourth order polynomial; polynomial vector quantization; second order polynomial; straight line polynomial; vector quantization codebook; Data compression; Discrete Fourier transforms; Discrete wavelet transforms; Electrocardiography; Encoding; Fourier transforms; Karhunen-Loeve transforms; Patient monitoring; Polynomials; Vector quantization; ECG compression; Vector quantization; polynomial; slope space;
Conference_Titel :
Intelligent Sensors, Sensor Networks and Information, 2007. ISSNIP 2007. 3rd International Conference on
Conference_Location :
Melbourne, Qld.
Print_ISBN :
978-1-4244-1501-4
Electronic_ISBN :
978-1-4244-1502-1
DOI :
10.1109/ISSNIP.2007.4496918
