Cardiogram Analysis and Classification Using Signal Analysis Techniques.

摘要

The study pertains to the development of automated techniques for classification of vectorcardiograms and electrocardiograms using signal analysis techniques. A data preprocessor is developed to produce an average heartbeat from a record containing multiple heartbeats corrupted by severe baseline shifts. Several techniques for generating an ECG/VCG transformation are studied. Individual transformations are found to be quite accurate, if phase shifts among the leads are taken into account. However, patient variability appears to preclude use of a standardized transformation. The structure of the data base required to accurately test the classification algorithms is discussed and specific recommendations are made. The effect of using both two- and three-dimensional coordinate systems and a normalizing transformation for feature generation was studied; classification accuracy remained essentially unchanged.