Systems and methods for cooperative invasive and noninvasive brain stimulation

A method comprising:

• detecting:
• i. a particular activity performed by an individual;
• wherein the individual has a disease or disorder that impairs the individual's ability to perform the particular activity;
• and
• ii. brain electrical activity of the individual associated with the particular activity;
• administering at least one stimulus to modulate brain electrical activity of an individual while the individual is performing the particular activity;
• wherein the at least one stimulus promotes the ability of the individual to perform the particular activity;
• detecting brain electrical activity of the individual while the individual is performing the particular activity;
• projecting, in real time, the detected brain electrical activity of the individual while the individual is performing the particular activity onto a denoised optimal set of wavelet packet atoms to obtain a particular set of projections of the individual;
• assessing, in real time, the brain electrical activity of the individual while the individual is performing the particular activity relative to a representative brain electrical activity of a plurality of individuals performing the particular activity by applying at least one machine learning algorithm to the particular set of projections of the individual;
• wherein the at least one machine learning algorithm is trained by the plurality of individuals performing the particular activity and the brain electrical activity collected from the plurality of individuals associated with performing the particular activity;
• determining a relationship between:
• i. the particular activity performed by the individual,
• ii. the detected brain electrical activity of the individual associated with the particular activity,
• iii. the assessing, in real time, of the brain electrical activity of the individual associated with the particular activity relative to the representative brain electrical activity of the plurality of individuals performing the particular activity by using the at least one machine learning algorithm, and
• iv. the at least one stimulus;
• and
• adjusting, based on the relationship, the at least one stimulus to promote the ability of the individual to perform the particular activity, thereby reducing at least one symptom of the disease or disorder.

A system comprising:

• a stimulation device for administering at least one stimulus;
• wherein the at least one stimulus is configured to modulate brain electrical activity of an individual while the individual is performing a particular activity;
• an apparatus configured to be worn on a head of the individual and comprising at least one sensor to detect:
• i. the particular activity performed by the individual;
• ii. brain electrical activity of the individual associated with the particular activity;
• wherein the brain electrical activity of the individual is detected while the individual is performing the particular activity;
• wherein the at least one stimulus promotes the ability of the individual to perform the particular activity;
• and
• a specifically programmed computer system coupled to the stimulation device and the apparatus;
• wherein the specifically programmed computer system comprises:
• i. a non-transient memory, electronically storing particular computer executable program code;
• and
• ii. at least one computer processor which, when executing the particular program code, becomes a specifically programmed computer processor configured to perform at least the following operations:
• projecting, in real time, the detected brain electrical activity of the individual while the individual is performing the particular activity onto a denoised optimal set of wavelet packet atoms to obtain a particular set of projections of the individual;
• assessing, in real time, the brain electrical activity of the individual while the individual is performing the particular activity relative to a representative brain electrical activity of a plurality of individuals performing the particular activity by applying at least one machine learning algorithm to the particular set of projections of the individual;
• wherein the at least one machine learning algorithm is trained by the plurality of individuals performing the particular activity and the brain electrical activity collected from the plurality of individuals associated with performing the particular activity;
• determining a relationship between:
• i. the particular activity performed by the individual,
• ii. the detected brain electrical activity of the individual associated with the particular activity,
• iii. the assessing, in real time, of the brain electrical activity of the individual associated with the particular activity relative to the representative brain electrical activity of the plurality of individuals performing the particular activity by using the at least one machine learning algorithm, and
• iv. the at least one stimulus;
• and
• causing to adjust, based on the relationship, the at least one stimulus from the stimulation device to promote the ability of the individual to perform the particular activity.