Systems and methods for analyzing brain activity and applications thereof

Inventors

Intrator, Nathan

Assignees

Neurosteer Inc

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Publication Number

US-11399761-B2

Patent

Publication Date

2022-08-02

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

The invention relates to a system and method for continuous real-time monitoring of an individual's brain electrical activity using an apparatus configured to be worn on an individual's head. The system records electrical signal data representative of the individual's brain electrical activity and obtains at least one physiological parameter and at least one environmental parameter. It is configured to operate in real time and to determine at least one mental state by assigning at least one specific brain state to the individual.

The brain electrical activity is projected in real time onto an optimal set of wavelet packet atoms to obtain a particular set of projections. 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 particular set of projections is used to determine the mental state by applying at least one machine learning algorithm that assigns at least one specific brain state associated with a mental state and/or a neurological condition.

The system determines a relationship between the at least one physiological parameter, the at least one environmental parameter, and the at least one specific brain state. Using the relationship, the system generates in real time an output that is representative of the at least one specific brain state of the individual or is expected to affect the at least one specific brain state. The output includes, in at least one embodiment, a 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 based on the relationship.

Claims Coverage

The document excerpt provides two independent claims: an independent system claim and an independent method claim, both built around the same core inventive pipeline. Across these independent claims, the excerpt specifies six inventive elements.

Wearable head apparatus with brain, physiological, and environmental parameters

An apparatus configured to be worn on an individual's head records the individual's brain electrical activity and obtains at least one physiological parameter and at least one environmental parameter.

Real-time projection onto an optimal wavelet packet basis learned from general brain activity

Project, in real time, electrical signal data onto an optimal set of wavelet packet atoms to obtain a particular set of projections, wherein the optimal set is determined based on electrical signal data representative of general brain activity of a plurality of individuals.

Machine learning assignment of a specific brain state to a mental state or neurological condition

Determine, in real time, at least one mental state by assigning at least one specific brain state based on applying at least one machine learning algorithm to the particular set of projections, wherein the at least one specific brain state is associated with a mental state, a neurological condition, or a combination.

Relationship among physiological parameters, environmental parameters, and specific brain state

Determine a relationship between the at least one physiological parameter, the at least one environmental parameter, and the at least one specific brain state.

Real-time output representative of the specific brain state or expected to affect it

Generate, in real time, an output representative of the at least one specific brain state or expected to affect, based on the relationship, the at least one specific brain state.

Visual indication and feedback output expected to affect the specific brain state

Generate, in real time, an output comprising a visual indication representative of the at least one specific brain state and a feedback output expected to affect, based on the relationship, the at least one specific brain state.

Both independent claims cover a wearable, real-time framework that records brain electrical activity together with physiological and environmental parameters, projects the brain electrical data onto an optimal wavelet packet atom set learned from general brain activity of a plurality of individuals, and uses machine learning to assign specific brain states associated with mental states and/or neurological conditions. Each claim then determines a relationship among physiological parameters, environmental parameters, and the specific brain state and generates real-time output that is representative of the specific brain state or is expected to affect it, including a visual indication and a feedback output expected to affect the brain state in the method claim.

Stated Advantages

Not explicitly described in patent.

Documented Applications

Not explicitly described in patent.

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