A Survey of Energy Efficient Data Centres in a Cloud Computing Environment

Abstract: Electrocardiograms (ECG) have become one of the most important, and widely used medical tools for diagnosing diseases such as cardiac arrhythmias, conduction disorders, electrolyte imbalances, hypertension, coronary artery disease and myocardial infarction. QRS is the dominant complex in the Electrocardiogram (ECG). Its accurate detection is of fundamental importance to reliable ECG interpretation and hence QRS detection is an important part of many ECG signal processing systems. In this paper we proposed an efficient architecture for implementation of ECG QRS Complex Detection algorithm. In this proposed system Real time ECG database is taken as input and baseline wondering and background noise are removed from ECG signal by using mathematical morphology. Simulation of the algorithm is done by using XILINX ISE simulator. The whole architecture is implemented in XILINX VIRTEX 5 FPGA.

Keywords: ECG, QRS Complex Detection, baseline wondering, XILINX, FPGA etc.,