Systems and methods for controlling a device using detected changes in a neural-related signal

1. A method of controlling a device, comprising:

detecting a reduction in an intensity of a neural-related signal of a subject below a baseline level measured, wherein the neural-related signal of the subject is a neural oscillation of the subject, and wherein detecting the reduction in the intensity of the neural-related signal comprises detecting a decrease in a power of the neural oscillation below a baseline oscillation power level, wherein the power is a power spectral density, wherein the reduction in the intensity of the neural-related signal is caused by the subject conjuring and holding a task-relevant thought;

detecting an increase in the intensity of the neural-related signal beyond the baseline level following the reduction, wherein the increase in the intensity of the neural-related signal is caused by the subject mentally releasing the task-relevant thought; and

transmitting an input command to the device upon or following the detection of the increase in the intensity of the neural-related signal, wherein the input command is a command to the device to accomplish at least part of a task associated with the task-relevant thought.

2. The method of claim 1 , wherein detecting the increase in the intensity of the neural-related signal comprises detecting an increase in the power of the neural oscillation.

3. The method of claim 1 , wherein the neural-related signal is measured or monitored using an endovascular device implanted within the subject, and wherein the steps of detecting the reduction or increase in the intensity of the neural-related signal and transmitting the input command are performed using one or more processors.

4. The method of claim 3 , further comprising:

filtering, using one or more processors of an apparatus implanted within the subject, raw neural-related signals obtained from the endovascular device using one or more software filters; and

feeding filtered signals into a classification layer to automatically detect the reduction and increase in the intensity of the neural-related signal using a machine learning classifier.

5. The method of claim 1 , wherein the reduction in the intensity of the neural-related signal below the baseline level measured is a desynchronization of the neural-related signal and wherein the increase in the intensity of the neural-related signal beyond the baseline level measured is a rebound of the neural-related signal.

6. A system for controlling a device, comprising:

an endovascular device configured to measure or monitor a neural-related signal of a subject, wherein the neural-related signal of the subject is a neural oscillation of the subject; and

an apparatus comprising one or more processors and wherein the one or more processors are programmed to:

detect a reduction in an intensity of the neural-related signal of a subject below a baseline level measured by detecting a decrease in a power of the neural oscillation below a baseline oscillation power level, wherein the power is a power spectral density, wherein the reduction in the intensity of the neural-related signal is caused by the subject conjuring and holding a task-relevant thought,

detect an increase in the intensity of the neural-related signal beyond the baseline level following the reduction, wherein the increase in the intensity of the neural-related signal is caused by the subject mentally releasing the task-relevant thought, and

transmit an input command to the device upon or following the detection of the increase in the intensity of the neural-related signal, wherein the input command is a command to the device to accomplish at least part of a task associated with the task-relevant thought.

7. The system of claim 6 , wherein the one or more processors are programmed to detect the increase in the intensity of the neural-related signal by detecting an increase in the power of the neural oscillation beyond a baseline oscillation power level.

8. The system of claim 6 , wherein the endovascular device is configured to be implanted within a vein or sinus of the brain of the subject.

9. The system of claim 6 , wherein the one or more processors are further programmed to filter raw neural-related signals obtained from the endovascular device using one or more software filters.

10. The system of claim 9 , wherein the one or more processors are further programmed to feed filtered signals into a classification layer to automatically detect the reduction and increase in the intensity of the neural-related signal using a machine learning classifier.

11. The system of claim 6 , wherein the reduction in the intensity of the neural-related signal below the baseline level measured is a desynchronization of the neural-related signal and wherein the increase in the intensity of the neural-related signal beyond the baseline level measured is a rebound of the neural-related signal.

12. A method of controlling a device, comprising:

detecting a reduction in an intensity of a neural-related signal of a subject below a baseline level measured, wherein the neural-related signal of the subject is a neural oscillation of the subject, and wherein detecting the reduction in the intensity of the neural-related signal comprises detecting a decrease in a power of the neural oscillation below a baseline oscillation power level, wherein the power is a power spectral density, wherein the reduction in the intensity of the neural-related signal is caused by the subject conjuring and holding a task-irrelevant thought;

detecting an increase in the intensity of the neural-related signal beyond the baseline level following the reduction, wherein the increase in the intensity of the neural-related signal is caused by the subject mentally releasing the task-irrelevant thought; and

transmitting an input command to the device upon or following the detection of the increase in the intensity of the neural-related signal, wherein the input command is a command to the device to accomplish at least part of a task not associated with the task-irrelevant thought.

13. The method of claim 12 , wherein detecting the increase in the intensity of the neural-related signal comprises detecting an increase in the power of the neural oscillation.

14. The method of claim 12 , wherein the neural-related signal is measured or monitored using an endovascular device implanted within the subject, and wherein the steps of detecting the reduction or increase in the intensity of the neural-related signal and transmitting the input command are performed using one or more processors.

15. The method of claim 14 , further comprising:

filtering, using one or more processors of an apparatus implanted within the subject, raw neural-related signals obtained from the endovascular device using one or more software filters; and

feeding filtered signals into a classification layer to automatically detect the reduction and increase in the intensity of the neural-related signal using a machine learning classifier.

16. The method of claim 12 , wherein the task-irrelevant thought is a thought related to a body function of the subject.

17. The method of claim 12 , wherein the reduction in the intensity of the neural-related signal below the baseline level measured is a desynchronization of the neural-related signal and wherein the increase in the intensity of the neural-related signal beyond the baseline level measured is a rebound of the neural-related signal.

18. A system for controlling a device, comprising:

an endovascular device configured to measure or monitor a neural-related signal of a subject, wherein the neural-related signal of the subject is a neural oscillation of the subject; and

an apparatus comprising one or more processors and wherein the one or more processors are programmed to:

detect a reduction in an intensity of the neural-related signal of a subject below a baseline level measured by detecting a decrease in a power of the neural oscillation below a baseline oscillation power level, wherein the power is a power spectral density, wherein the reduction in the intensity of the neural-related signal is caused by the subject conjuring and holding a task-irrelevant thought,

detect an increase in the intensity of the neural-related signal beyond the baseline level following the reduction, wherein the increase in the intensity of the neural-related signal is caused by the subject mentally releasing the task-irrelevant thought, and

transmit an input command to the device upon or following the detection of the increase in the intensity of the neural-related signal, wherein the input command is a command to the device to accomplish at least part of a task not associated with the task-irrelevant thought.

19. The system of claim 18 , wherein the task-irrelevant thought is a thought related to a body function of the subject.