Abstract: “Electrocardiogram storage is of utmost importance to enable the correct diagnosis of a patient. This storage demands large quantities of memory as the records increase by the millions each year. Hence, the compression of these waveforms is of great significance. This paper proposes to compare various transform based techniques used to compress an ECG waveform. The performance of these techniques is measured through various parameters to obtain the most efficient one.”

Keywords: ECG Compression, DCT, DCT-II, DST, FFT, Wavelet, Walsh Transform