23 Recognition of electrocardiographic patterns

Publisher Summary This chapter discusses some statistical and other operations on the electrocardiographic (ECG), not only because the signal is representative for a time-varying biological phenomenon, but also because the efforts made and the result obtained in this area is illustrative of the methods applied to other biological signals. The strategies and techniques described in this chapter — preprocessing, estimation of features, boundary recognition and pattern classification — can also be applied to many other signals of biological origin, such as the electro-encephalogram, the spirogram or the hemodynamic signals. The ultimate goal of such processing is the medical diagnosis or, in research, to obtain insight in the underlying biological processes and systems. The main objective, therefore, is to show the state-of-the-art in biological signal processing and recognition by discussing, specifically, the processing of the electrocardiogram.

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