The recording of electrical activity of the heart by using electrodes is known as Electrocardiography (ECG). In continuous monitoring of ECG, huge amount of data needs to be handled. To handle the situation, an efficient compression technique which can retain the clinically important features is required. In this paper, we propose various transform methods of compression and compare them based on the performance measure parameters such as compression ratio, PRD, PSNR. The best transform technique must be able to maintain the clinically important features for diagnosis purpose and achieve highest CR. The different transform based methods compared here are Discrete Wavelet Transform (DWT), Fast Fourier Transform (FFT), Walsh Hadmard transforms (WHT), and Discrete Fractional Fourier transform. The Wavelet transform shows the best results in terms of Compression Ratio (CR) & Percent Root mean square Difference (PRD). MIT-BIH ECG data base is used for the testing purpose.
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