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An FPGA based approach for nonlinear characterization of Electrocardiographic data

An FPGA based approach for nonlinear characterization of Electrocardiographic data,10.1109/ISIE.2010.5636316,M. Bucolo,R. Caponetto,G. Dongola,A. Gall

An FPGA based approach for nonlinear characterization of Electrocardiographic data  
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An FPGA based system has been developed in order to characterize, in real time, Electrocardiographic (ECG) signals. These signals are analyzed by using nonlinear data analysis to extract the d∞ parameter, characterizing their asymptotic chaotic behaviour. The FPGA implemented algorithm has been applied on a statistically significant number of ECG signals taken from the MIT-BIH database and including normal subjects and subjects affected by arrhythmia and ventricular arrhythmia. The real time feature of the proposed approach allows a clinical applications of such methodology in the early diagnosis of cardiac pathologies.
Published in 2010.
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