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Patch-clamp recordings or artificial planar bilayer recordings provide an effective mean for detailed kinetics studies at singular molecular level. The restoration or idealization into continuous dwell-time sequences of noisy single channel recordings is the essential fundamental of successive analysis. In term of the characteristics of step changes in data recording when switching between open and...
In this paper, we develop a new non-invasive method for atrial activity estimation in atrial fibrillation (AF) analysis. Our central approach is base on minimization of mutual information. To establish an appreciate separation model for independent component analysis (ICA), statistical properties of bioelectric independent sources corresponding to the ventricular and atrial activity (AA) are analyzed...
Based on our previous work, we develop a classifier using support vector machine to differentiate paroxysmal atrial fibrillation (AF) from sustained AF and propose an automatic scheme to predict the spontaneous termination of paroxysmal AF. Experimental studies over the challenge database of Physionet/CinC 2004 show that our method is able to achieve high classification accuracy and is fairly reliable...
Time/frequency analysis has been extensively used in biomedical signal processing. By extracting some essential features from the electro-physiological signals, these methods are able to determine the clinical pathology mechanisms of some diseases. Fourier spectrum analysis provides a common framework for examining the distribution of global energy in the frequency domain. However, this method assumes...
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