![]() ![]() Thus, algorithms and techniques which could accomplish accurately this task are especially important in designing automatic analysis and diagnose tools.Ī lot of such methodologies have been developed in the recent decades, which constitutes an active area of research, with multiple challenges still to overcome. ![]() In this context, the estimation of fiducial points of ECG signals is basic for feature extraction, and subsequently, to ECG interpretation. įurthermore, recently ECG and EEG (electroencephalographic) signals have proven to be an appropriate tool in fields as security, privacy, communication networks or psychology, in which biometric methods play a role. This is due to the fundamental role the heart plays in human health, and because ECG provides a noni nvasive and relatively easy way of knowing how the heart is working. Electrocardiographic signals (ECG) are a main tool in Medicine, since ECG analysis is a routinary part of any complete medical evaluation. ![]()
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