Title :
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
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;
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
DOI :
10.1109/ECTICon.2012.6254260
