Approximate identification in Laguerre and Kautz bases
Automatica (Journal of IFAC)
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In this paper we propose to use rational function systems for processing ECG signals. In several respects our approach has advantages over the previously used transformation methods. For instance the system is designed particularly for ECG signals in the sense that the shape of the individual terms correspond to the natural segmentation of the signal. Moreover, our method is more flexible. This means that not only the coefficients but also the system itself can be optimized even from heartbeats to heartbeats. Another property worth to emphasize is the simplicity of the system. The terms are simple rational functions that can be generated by a few number of complex arithmetic operations, i.e. they are easy to work with on computers.