A new ECG compression by using adaptive cosine Fourier Transform
Patompon Chaiyakum, Paramote Wardkein · 2012
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.