Systems and methods for analyzing brain activity and applications thereof
Inventors
Assignees
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Publication Number
US-11974851-B2
Publication Date
2024-05-07
Expiration Date
Abstract
In some embodiments, the present invention provides an exemplary inventive system that includes: an apparatus to record: individual's brain electrical activity, a physiological parameter of the individual, and iii) an environmental parameter; a computer processor configured to perform: obtaining a recording of the electrical signal data; projecting the obtained recording of electrical signal data onto a pre-determined ordering of a denoised optimal set wavelet packet atoms to obtain a set of projections; normalizing the particular set of projections of the individual using a pre-determined set of normalization factors to form a set of normalized projections; determining a personalized mental state of the individual by assigning a brain state; determining a relationship between: the physiological parameter, the environmental parameter, and the personalized mental state; generating an output, including: a visual indication, representative of the personalized mental state, and) a feedback output configured to affect the personalized mental state of the individual.
Core Innovation
A system is configured to record an individual’s brain electrical activity and obtain electrical signal data representative of the individual’s brain electrical activity. The system further obtains at least one physiological parameter of the individual and at least one environmental parameter. A processor projects the obtained recording onto an optimal set of wavelet packet atoms to obtain a particular set of projections of the individual, where the optimal set of wavelet packet atoms is determined based on electrical signal data representative of general brain activity of a plurality of individuals.
The processor determines at least one mental state of the individual by assigning at least one specific brain state to the individual. The assignment is performed by applying at least one machine learning algorithm to the particular set of projections of the individual. The at least one specific brain state is associated with a mental state, a neurological condition, or a combination of a mental state and a neurological condition.
The processor determines a relationship between the at least one specific brain state and at least one of the at least one physiological parameter and the at least one environmental parameter. Based on the relationship, the processor generates an output that is representative of the at least one specific brain state of the individual or expected to affect, based on the relationship, the at least one specific brain state of the individual. In the method, the output comprises at least one visual indication representative of the at least one specific brain state and a feedback output expected to affect the at least one specific brain state.
Claims Coverage
The independent claims are clm-00001 (system) and clm-00013 (method). Across these independent claims, there are three main inventive features.
Projecting brain electrical activity onto an optimal wavelet packet atom set derived from general brain activity
Project the obtained electrical signal data representative of the individual’s brain electrical activity onto an optimal set of wavelet packet atoms to obtain a particular set of projections, wherein the optimal set of wavelet packet atoms is determined based on electrical signal data representative of general brain activity of a plurality of individuals.
Assigning a specific brain state to a mental state using machine learning
Determine at least one mental state of the individual by assigning at least one 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 specific brain state is associated with a mental state, a neurological condition, or a combination of a mental state and a neurological condition.
Relating the specific brain state to physiological/environmental parameters and generating representative/affecting output
Determine a relationship between the at least one specific brain state and at least one of the at least one physiological parameter and the at least one environmental parameter; and generate an output that is at least one of: representative of the at least one specific brain state, or expected to affect, based on the relationship, the at least one specific brain state, with the method generating an output comprising a visual indication and a feedback output expected to affect the specific brain state based on the relationship.
Together, the independent claims cover a pipeline that projects an individual’s brain electrical activity onto an optimal set of wavelet packet atoms derived from general brain activity of a plurality of individuals, uses machine learning to assign a specific brain state associated with a mental state and/or neurological condition, and computes a relationship between that specific brain state and physiological/environmental parameters to generate a visual and/or feedback output expected to affect the brain state or represent it.
Stated Advantages
Documented Applications
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