MULTI-CHANNEL, MULTI-VARIATE WHOLE-HEAD NORMALIZATION AND OPTIMIZATION SYSTEM USING LIVE Z-SCORES

Patent №

US 9,706,939

Granted

2017-07-18

Filed 2008

Owner

BRAINMASTER TECHNOLOGIES, INC.

Lab

AI components

3

ml · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12266755

A method of whole-brain EEG neurofeedback training of a trainee using live Z-scores from 4 channels of EEG signals to acquire 248 Z-scores from 6 simultaneous interconnectivity paths. The feedback system is endowed with the ability to establish training targets and to use derived metrics to produce feedback of an auditory, visual, vibrotactile, or other sensory or direct nature. The feedback signals are determined by a multivariate analysis that takes into consideration how measured variables compare with predefined criteria, thus producing a statistical correlation in real-time, in conjunction with a reference or normative database, rule-set, algorithm, discriminate function, or classification system.

AI classification

Machine learning1.00
Planning0.93
AI hardware0.65
Vision0.06
Speech0.02
Knowledge representation0.01
Natural language0.01
Evolutionary computation0.00

Ownership

BRAINMASTER TECHNOLOGIES, INC.

assignment · 373420412

Assignors

COLLURA, THOMAS F., MRKLAS, WILLIAM, COLLURA, THERESIA

On an employer assignment, the assignors are typically the inventors.

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