Systems and methods for analyzing brain activity and applications thereof
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.
1. A system comprising:
an apparatus configured to record brain electrical activity of an individual, and at least one of:
at least one physiological parameter of the individual, or
at least one environmental parameter; and
a processor configured to:
obtain a recording of electrical signal data representative of the brain electrical activity of the individual;
project the obtained 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.
2. The system of claim 1 , wherein the output is selected from the group consisting of: an audible signal, a visual signal, a physically-sensed signal, and any combination thereof.
3. The system of claim 2 , wherein the physically-sensed signal is a vibration that is physical sensed by the individual.
4. The system of claim 1 , wherein the generating of the output comprises determining a change beyond a pre-determined threshold in at least one of:
the at least one physiological parameter, or
the at least one environmental parameter.
5. The system of claim 1 , wherein the apparatus is configured to be worn by the individual to record the electrical signal data representative of the brain electrical activity.
6. The system of claim 1 ,
wherein the individual is a child between years of 0 and 12;
wherein the at least one individual-specific brain state is representative of a response of the child to at least one first musical stimulus; and
wherein the output is at least one second musical stimulus.
7. The system of claim 1 ,
wherein the individual is a minimally conscious subject;
wherein the at least one individual-specific brain state is representative of a response of the minimally conscious subject to at least one stimulus; and
wherein the output is at least one second stimulus expected to affect the minimally conscious subject.
8. The system of claim 1 , wherein the at least one environmental parameter is selected from the group consisting of: temperature, humidity, pressure, allergen level, and any combination thereof.
9. The system of claim 1 , wherein the at least one machine learning algorithm is one of: a logistic regression modeling algorithm, a support vector machine modeling algorithm, or a deep learning modeling algorithm.
10. The system of claim 1 , wherein the processor is further configured to:
a) determine a first mental state of the individual;
b) generate a first visual indication, wherein the first visual indication is representative of the first mental state;
c) generate a first feedback output expected to affect, based on a first relationship, the first mental state of the individual;
wherein the first relationship is determined based on:
at least one first physiological parameter,
at least one first environmental parameter, and
the first mental state;
d) determine, after subjecting the individual to the first feedback output, a second mental state of the individual;
e) generate a second visual indication, wherein the second visual indication is representative of the second mental state;
f) compare the first visual indication and the second visual indication;
g) generate a second feedback output expected to affect, based on a second relationship and a result of comparing the first visual indication and the second visual indication, the second mental state of the individual;
wherein the second relationship is determined based on:
at least one second physiological parameter,
at least one second environmental parameter, and
the second mental state; and
h) repeat the steps a-g until at least one of:
1) a desired mental state is obtained,
2) a first coherent response to the first feedback output is obtained,
3) a second coherent response to the second feedback output is obtained; and
4) any combination thereof.
11. The system of claim 10 ,
wherein the first feedback output is at least one first reward, and
wherein the second feedback output is at least one second reward.
12. The system of claim 1 , wherein the at least one physiological parameter of the individual is selected from the group consisting of: heart rate, blood oxygen levels, body temperature, respiration rate, skin temperature, skin conductivity, and movement.
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.
14. The method of claim 13 , wherein the feedback output is selected from the group consisting of: an audible signal, a visual signal, a physically-sensed signal, and any combination thereof.
15. The method of claim 14 , wherein the physically-sensed signal is a vibration that is physically sensed by the individual.
16. The method of claim 13 , wherein the generating of the feedback output comprises determining a change beyond a pre-determined threshold in at least one of:
the at least one physiological parameter, or
the at least one environmental parameter.
17. The method of claim 13 , wherein the visual indication comprises a visual map.
18. The method of claim 13 , wherein the receiving of the at least one recording of electrical signal data representative of the brain electrical activity comprises receiving the electrical signal data representative of the brain electrical activity with an apparatus comprising two electrodes configured to record the electrical signal data representative of the brain electrical activity.
19. The method of claim 13 ,
wherein the individual is a child between years of 0 and 12;
wherein the at least one individual-specific brain state is representative of a response of the child to at least one first musical stimulus; and
wherein the feedback output is at least one second musical stimulus.
20. The method of claim 13 ,
wherein the individual is a minimally conscious subject;
wherein the at least one individual-specific brain state is representative of a response of the minimally conscious subject to at least one stimulus; and
wherein the feedback output is at least one second stimulus expected to affect the minimally conscious subject.