Jesus Maria Rodriguez Presedo

University of Santiago de Compostela | USC · Department of Computers and Electronics

In this work we present a new method for the delineation of QRS complexes in ECG signals. The main objective is to provide a robust method that gives acceptable results even under severe noise conditions in the input signal, as often happens in continuous bedside or home monitoring. Our method is based on relevant point selection using a path simpl...

This paper proposes a PDA-based system, SERVANDO, for the home-care management of patients with COPD. In addition to making the supervision of such patients easier, the system permits the collection and structuring of large quantities of information on the evolution of COPD, allowing the application of data-mining techniques, which could open up ne...

The present work describes an improved version of MART (Multichannel ART), a neural network aimed at the adaptive recognition of multichannel patterns. As is habitual in ART networks, MART is directed at problems that require unsupervised learning, but it has a greater level of adaptability to the characteristics of the input patterns, selectively...

The use of time frequency distributions (TFDs) with adaptive kernels for the spectral estimation of non stationary signals has been shown to be an extremely useful tool in many applications. Nevertheless, their high computational cost, due to the necessity to calculate a new kernel in each time instance, poses an important problem in real time appl...