METHOD AND SYSTEM FOR SAFELY GUIDING INTERVENTIONS IN PROCEDURES THE SUBSTRATE OF WHICH IS THE NEURONAL PLASTICITY

摘要

The method comprises generating a database with information regarding users in relation to interventions to be performed and to the user responses to the performance thereof, and analyzing it to generate candidate predictions from which final or optimum predictions are determined, said generation of candidate predictions and said subsequent determination of final predictions been carried out by means of corresponding steps of classification at different levels based on heuristic rules.;The system is provided for implementing the method proposed by the first aspect of the invention.;The method and the system are particularly applicable in processes such as those related to neurorehabilitation, neuroeducation/neurolearning or cognitive neurostimulation.

主权项

1. A method for safely guiding interventions in processes the substrate of which is the neuronal plasticity said interventions including neurorehabilitation, neuroeducation/neurolearning or cognitive neurostimulation, comprising using a central computer server and a plurality of user computer terminals in two way communications with said central computer server, at least a therapist computer terminal and a database server with information regarding a plurality of users, said information being associated to evolutionary variables regarding how such interventions are being performed on said users and responses to performance of said interventions, wherein said information associated to said evolutionary variables includes at least:
values that said evolutionary variables adopt over time, previously, during and posteriorly to said interventions, values associated to multifactorial variables representing multifactorial interactions of at least said evolutionary variables, values associated to a multivariable evaluation of at least said evolutionary variables; values associated to multivariable monitoring of at least said evolutionary variables; wherein said method comprises by using said computer means and software associated, automatically performing the following steps with said computer means and software associated: a) generating at least two groups of candidate predictions related to possible interventions, performing at least two steps of classification based on at least heuristic rules on the information of said database including said evolutionary variables considered as a constituent of some basic training data, b) generating from at least said two groups of candidate predictions a set of training data in meta-level, c) performing a meta-classification based on at least heuristic rules on said set of training data in meta-level, and d) determining a group of optimum predictions based on the results of said step c), selecting one of said groups of candidate predictions obtained in step a), or combining said candidate predictions to one another.