The Multivariable Fuzzy Temporal Profile model enables human experts to project their knowledge of a signal pattern, described over a set of parameters, into a computable description. Here it is endowed with a hierarchical capability through the definition of algorithms that recognize a set of findings over a signal, and aggregate them into a set of abstraction levels. We also present a heuristics that takes advantage of the continuity properties of real signals to allow the matching process to meet real time requirements, even over high frequency signals.
['Abraham Otero', 'Paulo Félix', 'Santiago Fraga', 'Senén Barro', 'Francisco Palacios']
A hierarchical pattern matching procedure for signal abstraction