×

METHOD OF BUILDING CLASSIFIERS FOR REAL-TIME CLASSIFICATION OF NEUROLOGICAL STATES

  • US 20130109995A1
  • Filed: 10/28/2011
  • Published: 05/02/2013
  • Est. Priority Date: 10/28/2011
  • Status: Abandoned Application
First Claim
Patent Images

1. A method of building a binary classifier for classifying subjects into one of two brain function categories, comprising the steps of:

  • providing a signal processing device operatively connected to a memory device storing a population reference database, the signal processing device comprising a processor configured to perform the steps of;

    obtaining brain electrical signals in machine readable format from the population reference database, wherein the signals are recorded from a plurality of individuals in the presence or absence of brain abnormalities using one or more neurological electrodes;

    extracting quantitative signal features from the recorded brain electrical signals;

    storing the extracted signal features in the population reference database;

    applying one or more data reduction criteria to the stored features in the population reference database to create a reduced pool of signal features;

    selecting a subset of signal features from the reduced pool of features to construct the binary classifier; and

    determining classification accuracy of the binary classifier by using it to classify data records having a priori classification information.

View all claims
  • 8 Assignments
Timeline View
Assignment View
    ×
    ×