Efficient and Effective Scheme for ECG Compression

In this study, a performance analysis of several ECG compression schemes is introduced to discover the best algorithm for compressing the ECG signals. The main target of compressing these signals is to minimize their volume and thus to decrease the expense of their saving and sending. Different ECG records from MIT-BIH are used in this work for testing purposes, and various methods are offered for compression task: Discrete Cosine Transform (DCT), Fast Fourier Transform (FFT), Discrete Wavelet Transforms (DWT), Discrete Wavelet Packet Transform (DWPT) and Discrete Wave Atom Transform (DWAT). The achievement of the aforementioned techniques is quantified mathematically based on “Compression Rate” (CR) and “Percentage Root Mean Square Difference” (PRD). The results demonstrated that the DWAT framework is the best in terms of the previously mentioned metrics.