| CPC A61B 5/291 (2021.01) [A61B 5/316 (2021.01); A61B 5/369 (2021.01); A61B 5/375 (2021.01); A61B 5/6803 (2013.01); A61B 5/726 (2013.01); A61B 5/7264 (2013.01); A61B 5/0205 (2013.01); A61B 5/055 (2013.01); A61B 5/4064 (2013.01); A61B 5/7246 (2013.01)] | 20 Claims |

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13. A method, comprising:
using a processor to:
receive at least one recording of electrical signal data representative of brain electrical activity of an individual;
receive at least one of:
at least one physiological parameter of the individual, or
at least one environmental parameter;
project the at least one recording of electrical signal data onto a denoised optimal set of wavelet packet atoms to obtain a particular set of projections of the individual;
wherein the denoised optimal set of wavelet packet atoms is determined based at least in part on applying at least one mother wavelet and at least one denoising algorithm to a plurality of individual-specific electrical signal data recordings representative of a plurality of individual-specific brain electrical activities of a plurality of individuals;
determine at least one mental state of the individual by assigning at least one individual-specific brain state to the individual based on applying at least one machine learning algorithm to the particular set of projections of the individual;
wherein the at least one individual-specific brain state is associated with the at least one mental state, at least one neurological condition, or both, of the individual;
determine a relationship between:
the at least one individual-specific brain state of the individual, and at least one of:
the at least one physiological parameter of the individual, or
the at least one environmental parameter; and
generate an output comprising at least one of:
a visual indication representative of the at least one individual-specific brain state of the individual, or
a feedback output expected to affect, based on the relationship, the at least one individual-specific brain state of the individual.
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