Patent US10207111

Analyzer for behavioral analysis and parameterization of neural stimulation
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US10207111

1. A neural stimulation system having a non-transitory computer readable medium having program instructions readable by a processor circuit of the neural stimulation system for implementing the neural stimulation system, the processor circuit of the neural stimulation system comprising: (4) (6)

a first module configured to derive neural data from muscle contractions or movements of a subject;

a graphical text analysis module communicatively coupled to the first module and configured to derive neural state assessment data that represents a neural state assessment of the subject based at least in part on the neural data; and

a third module communicatively coupled to the graphical text analysis module and a fourth module;

wherein the fourth module is configured to deliver electrical neural stimulation through an electrode to a selected location of the subject;

wherein the third module is configured to derive, based at least in part on the neural state assessment data, at least one neural stimulation parameter of the electrical neural stimulation delivered through the electrode to the selected location of the subject;

wherein the graphical text analysis module is further configured to convert the neural data to a graphical set of vectors.

2. The system of claim 1, wherein at least one of the first module, the graphical text analysis module, the third module and the fourth module comprises a node of a cloud. (0)

3. The system of claim 1, wherein: (0) (4)

the first module comprises an other inputs module and a muscle contractions or movements module;

the graphical text analysis module comprises an analyzer module and a neural state assessment module;

the third module comprises a neural stimulation parameter module; and

the fourth module comprises a neural stimulator.

4. The system of claim 1, wherein: (0) (3)

5. The system of claim 1, wherein the vectors categorize a neural state of the subject. (1) (0)

6. The system of claim 5, wherein the graphical text analysis module is further configured to: (1) (2)

provide a first category of a cognitive state of the subject; and

use the first category to predict a cognitive trajectory and to update the at least one neural stimulation parameter.

7. The system of claim 6, wherein: (1) (2)

the first module is further configured to derive additional neural data samples; and

the additional neural data samples provide predictions of additional cognitive trajectories within the graphical set of vectors.

8. The system of claim 7, wherein the additional neural data samples are derived from at least one of: (2) (4)

a written text;

an electroencephalogram (EEG);

a deep brain electrophysiology; and

at least one behavior of the subject.

9. The system of claim 8 wherein: (0) (1)

10. The system of claim 8, wherein: (1) (2)

12. A computer program product for implementing a neural stimulation system, the computer program product comprising: (1) (2)

a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions readable by a processor circuit to cause the processor circuit to perform a method comprising: deriving, by the processor, neural data from muscle contractions or movements of a subject;

deriving, by the processor, neural state assessment data that represents a neural state assessment of the subject based at least in part on the neural data;

controlling an electrode to deliver electrical neural stimulation through the electrode to a selected location of the subject; and

using graphical text analysis to derive, by the processor, based at least in part on the neural state assessment data, at least one neural stimulation parameter of the electrical neural stimulation delivered through the electrode to the selected location of the subject;

wherein deriving the neural state assessment data that represents a neural state assessment of the subject based at least in part on the neural data comprises converting the neural data to a graphical set of vectors.

13. The computer program product of claim 12, wherein: (1) (3)

15. A computer implemented neural stimulation system, the system comprising: (2) (6)

a first module configured to derive neural data from muscle contractions or movements of a subject;

a second module communicatively coupled to the first module and configured to derive neural state assessment data that represents a neural state assessment of the subject based at least in part on the neural data; and

a third module communicatively coupled to the second module and a fourth module;

wherein the fourth module is configured to deliver electrical neural stimulation through an electrode to a selected location of the subject;

wherein the third module is configured to derive at least one neural stimulation parameter of the electrical neural stimulation based at least in part on the neural state assessment data;

wherein the second module is further configured to convert the neural data to a graphical set of vectors.

16. The system of claim 15, wherein at least one of the first module, the second module, the third module and the fourth module comprises a node of a cloud. (0)

17. The system of claim 15, wherein the vectors categorize a neural state of the subject. (0)

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Patent US10207111

Analyzer for behavioral analysis and parameterization of neural stimulation

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