Feature Extraction and Shape Representation of Ambulatory Electrocardiogram Using the Karhunen-Loève Transform
نویسنده
چکیده
We developed a new approach to feature extraction and shape representation of QRS complex and ST segment pattern vectors of ambulatory electrocardiograms using the Karhunen-Loève transform. We describe applying the Karhune-Loève transform to the ambulatory electrocardiogram, derivation of robust covariance matrices using kernel-approximation method and with noisy patterns excluded, a method to estimate sufficient and necessary QRS complex and ST segment Karhunen-Loève feature-vector dimensionality, and a technique to derive and represent time series of feature vectors.
منابع مشابه
Karhunen-Loève transform applied to region- based segmentation of color aerial images
J. C. Devaux P. Gouton F. Truchetet, MEMBER SPIE Le2i—Université de Bourgogne BP4787
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