A new ECG compression by using adaptive cosine Fourier Transform

Author

Chaiyakum, Patompon ; Wardkein, Paramote

Author_Institution

Dept. of Telecommun. Eng., King Mongkut´´s Inst. of Technol. Ladkrabang, Bangkok, Thailand

fYear

2012

fDate

16-18 May 2012

Firstpage

1

Lastpage

4

Abstract

In this paper, the electrocardiogram (ECG) data compression by using adaptive discrete cosine Fourier Transform that can compress and recovery ECG data for online processing is presented. Difference equation is applied in this algorithm for generating the referent input used in the adaptive Fourier system. This technique can reduce the memory required in generating cosine function. Moreover, the proposed system does not require the input data to detect a period of signal therefore it reduces an input buffer. In addition, it has a high compression ratio and low percentage of root mean square error.

Keywords

Fourier transforms; adaptive filters; data compression; electrocardiography; mean square error methods; medical signal detection; ECG compression; adaptive discrete cosine Fourier transform method; adaptive filters; electrocardiogram data compression; input buffer reduction; root mean square error method; signal detection; Adaptive systems; Difference equations; Electrocardiography; Fourier series; Memory management; Root mean square; Valves; ECG; adaptive Fourier; difference equation;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2012 9th International Conference on

Conference_Location

Phetchaburi

Print_ISBN

978-1-4673-2026-9

Type

conf

DOI

10.1109/ECTICon.2012.6254260

Filename

6254260