I. Introduction
The development of efficient real-time compression methods for ECG data transmission in limited bandwidth wireless networks such as the General Packet Radio Service (GPRS) systems is crucial for a wider use of such wireless telemetrically services in healthcare systems. It is well know that in order to use the available network bandwidth in an efficient way, a compression algorithm is required. In the last decade, many ECG data compression algorithms have been presented [1] [4]. Nevertheless, most of these studies direct their efforts in store and forward compression, leaving real-time operation as a possible future application without giving any specific result in this area. Although in [4] a real time ECG compression based on the wavelet transform is described, the compression algorithm was realized on PC and the programming language used for the compression was C. To the authors knowledge no study is reported yet on fast ECG compression and hardware implementation.