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There are several methods to detect arrhythmia by analysis of the heartbeat rate. In practice, doctors follow a specific procedure to interpret if a particular RR interval as a premature heartbeat by analyzing the complex morphology of the ECG signal. We have tested several algorithms to determine premature heartbeats analyzing two neighboring RR intervals using different threshold values with a goal...
The T and P waves of electrocardiogram signals are excellent indicators in the analysis and interpretation of cardiac arrhythmia. As such, the need to address and develop an accurate delineation technique for the detection of these waves is necessary. In this paper, we present a novel robust and adaptive T and P wave delineation method for real-time analysis and nonstandard ECG morphologies. The proposed...
In this paper a simple signal segmentation algorithm is introduced. The algorithm determines the epochs of signal components of interest based on signal characteristic such as amplitude, slope, deflection width, or distance between neighboring deflections. The epochs are segmented indirectly by means of a slope trace wave that traces a signal with its average slope and predetermined delay. The algorithm...
The electrocardiogram is characterized by a well-defined morphology of signal complexes, e.g. the P-QRS-T sequence that recurs with each heart beat. The adaptive recurrent filter is useful for learning the morphology of the signal complexes and for detecting transient variations. The authors present application of the ARF to 60-Hz power-line cancellation, P-wave detection in conduction blocks, recognition...
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