ECG signal compression based on ASCII coding using CUDA architecture

Telemedicine is experiencing a great growth in recent years, is a technology allowing remote health services and exchange of medical information, among these areas we find telecardiology. In telecardiology the ECG requires a long recording. For this purpose the data are high, the reason that an effective compression method is required for biomedical signals. The electrocardiogram (ECG) or (EKG) is an important tool for assessing the heart condition of a patient, and is very sensitive to noise. For that several methods are proposed to denoising the ECG signal include: EMD, EEMD, DWT, and adaptive filter ADTF. After the transfer phase it is necessary to compress the signal. Among the algorithms that can be found, low complexity compression based on ASCII coding, DWT and DCT based compression. In this work we propose an embedded system based on the CUDA architecture of the lossless ECG data compression.