Comparison of different algorithms for ECG signal compression based on transfer coding

Electrocardiogram (ECG) is utilizing widely in recognition and cardiac treatment. The goal of this paper is investigating of different algorithms in ECG signal compression, which comprise compression in frequency domain using four transforms; Discrete Cosine Transform(DCT), Fast Fourier Transform(FFT), Discrete Sine Transform(DST) and DCT-II. To evaluate performance of the methods, we have used two parameters; compression ratio (CR) and Percent root mean square difference (PRD). Simulation results represents that DST has the least amount of CR whereas DCT-II has the most. Moreover, the most amount of PRD belongs to DCT-II which a tradeoff should be established between these two transforms. Each specific transform is applied to a pre-selected segment of the MIT-BIH database and then compression is performed.