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
Ownership
BRAINMASTER TECHNOLOGIES, INC.
assignment · 373420412
Assignors
COLLURA, THOMAS F., MRKLAS, WILLIAM, COLLURA, THERESIA
On an employer assignment, the assignors are typically the inventors.