The aim of the paper is to introduce a new pattern recognition method of multiresolution representation and analysis of ECG waveforms. The multiresolution representation is based on filtering the curvature of the curve with continuum of Gaussian filters where Gaussian standard deviation increases, and on extracting of extrema points in filtered versions of the curvature (scale-space filtering). The original curve is then segmented at each scale into linear parts with regard to the extracted extrema points. After segmentation and linking segments between scales, shape is represented qualitatively in a hierarchical tree form holding information on coarser and finer details of shape. Different methods of tree form analysis can be applied to data compression, classification of heart beats or tine structure analysis We introduce a method of multiresolution representation. The fast computation scheme and transformation into hierarchical structure are described. In addition to the method of representation data compression method is proposed. Comparision to the AZTEC data compression method is also given. 0276-6574/91/0000/0547$01 .OO 0 1991 IEEE
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