ECG signal compression using hybrid 1D and 2D wavelet transform

Author

Surekha, K.S. ; Patil, B.P.

Author_Institution

Dept. of E&TC, Army Inst. of Technol., Pune, India

fYear

2014

fDate

27-29 Aug. 2014

Firstpage

468

Lastpage

472

Abstract

In this paper, we present a compression technique for Electrocardiogram (ECG) signals. Different data compression techniques are available. As the ECG data to be handled is huge, we must use an appropriate compression technique. When we try to compress an ECG signal, the clinically important features of the signal must be properly retained which are useful to the doctors for proper diagnosis. We have proposed a new compression technique, which uses transform based with hybrid stage. In this method, a Discrete Cosine Transform (DCT) stage is combined with 1D or 2D discrete wavelet transforms (DWT) respectively. The hybrid stage is suitable for compressing the complete ECG signal as well as the QRS complex. The compression ratio (CR) and Percent Root Mean Square Difference (PRD) are controlled by proper selection of the threshold value. The threshold value has better hold on the CR.

Keywords

data compression; discrete cosine transforms; discrete wavelet transforms; electrocardiography; medical signal processing; 1D discrete wavelet transforms; 2D discrete wavelet transforms; DCT stage; DWT; ECG signal compression; PRD; QRS complex; compression ratio; data compression techniques; discrete cosine transform stage; electrocardiogram signals; hybrid 1D wavelet transform; hybrid 2D wavelet transform; percent root mean square difference; Band-pass filters; Continuous wavelet transforms; Discrete cosine transforms; Discrete wavelet transforms; Electrocardiography; 1D DWT; 2D DWT; Compression; ECG; QRS; Wavelet;

fLanguage

English

Publisher

ieee

Conference_Titel

Science and Information Conference (SAI), 2014

Conference_Location

London

Print_ISBN

978-0-9893-1933-1

Type

conf

DOI

10.1109/SAI.2014.6918229

Filename

6918229