Development of fully-automated classifier builders for neurodiagnostic applications

US10321840B2 · kind B2 · utility

Assignee

• Brainscope Company, Inc. · US

Inventors

• Arnaud Jacquin · New York, US
• Asmir Vodencarevic · Erlangen, DE

Key dates

• Filing date: Aug 14, 2009
• Grant date: Jun 18, 2019
• Expiry date: May 4, 2032

Classification

• Technology area (CPC G): Physics
• CPC primary: G16H50/20
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

Methods for constructing classifiers for binary classification of quantitative brain electrical activity data is described. The classifier building methods are based on the application of one or more evolutionary algorithms. In one embodiment, the evolutionary algorithm used is a genetic algorithm. In another embodiment, the evolutionary algorithm used is a modified Random Mutation Hill Climbing algorithm. In yet another embodiment, a combination of a genetic algorithm and a modified Random Mutation Hill Climbing algorithm is used for building a classifier. The classifier building methods are fully automated, and are adapted to generate classifiers (for example, Linear Discriminant Functions) with high sensitivity, specificity and classification accuracy.