Transcranial stimulation device and method based on electrophysiological testing

1. A neuromodulation therapy method comprising:

receiving a plurality of input data relating to a patient, the input data including brain value measurements and body value measurements, the brain value measurements including first electrophysiological values obtained from a brain of the patient using at least one EEG electrode and the body value measurements including second electrophysiological values obtained from the patient via at least one of: an electrocardiograph electrode connected to the patient and force plate measurements measuring task and balance conditions of the patient;

electronically analyzing the plurality of input data in to reference a plurality of reference data generated based on machine learning operations associated with existing patient data and reference database data;

based thereon, electronically determining, using at least one processing device, a brain malady and a severity value, for the patient;

electronically generating a treatment protocol for the patient based at least on the brain value measurements, the brain malady, and the severity value, wherein the treatment protocol includes transcranial stimulation parameters; and

applying a transcranial stimulation using the transcranial stimulation parameters to the patient.

2. The method of claim 1 , wherein the brain malady includes at least one of: Alzheimer's, dementia, depression, mild cognitive impairment, and subjective cognitive impairment.

3. The method of claim 2 , wherein the severity value assesses an accuracy level of the brain malady of the patient.

4. The method of claim 1 further comprising:

including with the input data: a gender value for the patient and at least one quantitative electroencephalography value measured from the patient.

5. The method of claim 1 , wherein the body value measurements further include at least one of: a blood content value and a brain processing speed value.

6. The method of claim 1 , wherein the transcranial stimulation parameters include current level and duration instructions for a plurality of transcranial sensors providing neurostimulation to the patient.

7. The method of claim 1 further comprising:

after applying the transcranial stimulation to the patient, acquiring secondary input data including secondary brain value measurements and secondary body value measurements;

electronically analyzing the secondary input data in reference to the reference data and the plurality of input data received prior to the transcranial stimulation; and

electronically determining a change value for the patient relative to the brain malady and severity value.

8. The method of claim 7 further comprising:

generating an updated treatment protocol for the patient based on the electronic analysis of the secondary input data.

9. The method of claim 1 , wherein the electronic analysis of the input data includes using source localization models to isolate voxels within a brain of the patient to detect at least one region of the brain of the patient affected by the brain malady.

10. The method of claim 9 , wherein the electronic analysis includes referencing at least one brain mapping library.

11. The method of claim 1 , wherein plurality of reference data is generated based on machine learning processing operations and deep learning processing operations executed within at least one neural network.

12. A neuromodulation therapy method comprising:

receiving a plurality of input data relating to a patient, the input data including brain value measurements and body value measurements, the brain value measurements include first electrophysiological values obtained from a brain of the patient using at least one EEG electrode and the body value measurements include second electrophysiological values obtained from the patient via at least one of: an electrocardiograph electrode connected to the patient and force plate measurements measuring task and balance conditions of the patient;

electronically analyzing the plurality of input data in to reference a plurality of reference data, wherein plurality of reference data is generated based on machine learning processing operations and deep learning processing operations executed within at least one neural network;

based on the analysis of the plurality of the input data, electronically determining, using at least one processing device, a brain malady and a severity value, for the patient; and

electronically generating a treatment protocol for the patient based at least on the brain value measurements, the brain malady, and the severity value, wherein the treatment protocol includes transcranial stimulation parameters.

13. The method of claim 12 , wherein the brain malady includes at least one of: Alzheimer's, dementia, depression, mild cognitive impairment, and subjective cognitive impairment.

14. The method of claim 13 , wherein the severity value assesses an accuracy level of the brain malady of the patient.

15. The method of claim 12 , wherein the body value measurements further include at least one of: a blood content value and a brain processing speed value.

16. A neuromodulation therapy method comprising:

receiving a plurality of input data relating to a patient, the input data including brain value measurements and body value measurements, wherein the brain value measurements include first electrophysiological values obtained from a brain of the patient using at least one EEG electrode and the body value measurements include second electrophysiological values obtained from the patient including at least one of: an electrocardiograph electrode connected to the patient and force plate measurements measuring task and balance conditions of the patient;

electronically analyzing the plurality of input data in to reference a plurality of reference data, wherein plurality of reference data is generated based on machine learning processing operations and deep learning processing operations executed within at least one neural network;

based on the analysis of the plurality of the input data, electronically determining, using at least one processing device, a brain malady and a severity value, for the patient, wherein the brain malady includes at least one of: Alzheimer's, dementia, depression, mild cognitive impairment, and subjective cognitive impairment and the severity value assesses an accuracy level of the brain malady of the patient;

electronically generating a treatment protocol for the patient based at least on the brain value measurements, the brain malady, and the severity value, wherein the treatment protocol includes transcranial stimulation parameters; and

applying a transcranial stimulation using the transcranial stimulation parameters to the patient.

17. The method of claim 16 , wherein the transcranial stimulation parameters include current level and duration instructions for a plurality of transcranial sensors providing neurostimulation to the patient.

18. The method of claim 16 , wherein the electronic analysis includes referencing at least one brain mapping library.