Patent AU-2021215126-A1 (AU)
Title: Systems and methods for brain activity interpretation
Inventor: INTRATOR NATHAN
IPC: A61B5/374
Filed: 2021-08-10
Abstract: The present invention provides a computer-implemented method, including: 
a. obtaining, in real-time, by a specifically programmed processor, electrical 
signal data representative of brain activity of a particular individual; 
b. processing, in real-time the electrical signal data representative of brain activity 
of a particular individual based upon a pre-determined predictor associated with 
a particular brain state, selected from a library of predictors containing a 
plurality of pre-determined predictors, wherein each individual pre-determined 
predictor is associated with a unique brain state, 
wherein the pre-determined predictor associated with a particular brain 
state includes: 
i. a pre-determined mother wavelet, 
ii. a pre-determined representative set of wavelet packet atoms, 
created from the pre-determined mother wavelet, 
iii. a pre-determined ordering of wavelet packet atoms, and 
iv. a pre-determined set of normalization factors, 
wherein the processing includes: 
i. causing, by the specifically programmed processor, the electrical 
signal data to be deconstructed into a plurality of pre-determined 
deconstructed wavelet packet atoms, utilizing the pre-determined 
representative set of wavelet packet atoms, 
wherein time windows of the electrical signal data are 
projected onto the pre-determined representative set of 
wavelet packet atoms
wherein the projection is via convolution or inner 
product, and 
wherein each pre-determined representative wavelet packet 
atom corresponds to a particular pre-determined brain 
activity feature from a library of a plurality of pre
determined brain activity features; 
ii. storing the plurality of pre-determined deconstructed wavelet 
packet atoms in at least one computer data object; 
iii. causing, by the specifically programmed processor, the stored 
plurality of pre-determined deconstructed wavelet packet atoms to 
be re-ordered within the computer data object, based on utilizing a 
pre-determined order; 
iv. obtaining a statistical measure of the activity of each of the re
ordered plurality of pre-determined deconstructed wavelet packet 
atoms; and 
v. normalizing the re-ordered plurality of pre-determined wavelet 
packet atoms, based on utilizing a pre-determined normalization 
factor; and 
c. outputting, a visual indication of at least one personalized mental state of the 
particular individual, at least one personalized neurological condition of the 
particular individual, or both, based on the processing, 
wherein the individual pre-determined predictor associated with a 
particular brain state from within the plurality of pre-determined 
predictors is generated by the steps including:
obtaining the pre-determined representative set of wavelet packet 
atoms by: 
a. obtaining from a plurality of individuals, by the 
specifically programmed processor, at least one plurality 
of electrical signal data representative of a brain activity of 
a particular brain state; 
b. selecting a mother wavelet from a plurality of mother 
wavelets, 
wherein mother wavelet is selected from an 
wavelet family selected from the group 
consisting of: Haar, Coiflet Daubehies, and 
Mayer wavelet families; 
c. causing, by the specifically programmed processor, the at 
least one plurality electrical signal data to be deconstructed 
into a plurality of wavelet packet atoms, using the selected 
mother wavelet; 
d. storing the plurality of wavelet packet atoms in at least one 
computer data object; 
e. determining, an optimal set of wavelet packet atoms using 
the pre-determined mother wavelet, and storing the optimal 
set of wavelet packet atoms in at least one computer data 
object, 
wherein the determining is via utilizing analysis 
Best Basis algorithm; and
f. applying, by the specifically programmed processor, 
wavelet denoising to the number of wavelet packet atoms 
in the optimal set; 
ii. obtaining the pre-determined ordering of wavelet packet atoms by: 
a. projecting, by the specifically programmed processor, the 
at least one plurality of electrical signal data representative 
of a brain activity for each 4 second window of the data 
onto the pre-determined representative set of wavelet 
packet atoms; 
b. storing the projections in at least one computer data object; 
c. determining, by the specifically programmed processor, 
the wire length for every data point in the projection by 
determining the mean absolute distance of the statistical 
measure of the projections of different channels from their 
adjacent channels; 
d. storing the wire length data in at least one computer data 
object; and 
e. re-ordering the stored projections, by the specifically 
programmed computer to minimize a statistical value of 
the wire length value across each time window, and across 
all individuals within the plurality of individuals, and 
across the projections; and 
iii. obtaining the pre-determined set of normalization factors by:
a. determining, by the specifically programmed computer, 
the mean and standard deviation of the values of the stored 
projections.