A system and method for controlling a non-tactile device including a receiving device configured to receive signals corresponding to a user's brain waves or movements, the brain waves or movements corresponding to a series of directional intentions, the intentions defining at least one line pattern, a processor configured to process the at least one line pattern, each of said at least one line patterns associated with an action of the device, and output a control signal to the non-tactile device related to the action.

A system and method for controlling a non-tactile device including a receiving device configured to receive signals corresponding to a user's brain waves or movements, the brain waves or movements corresponding to a series of directional intentions, the intentions defining at least one line pattern, a processor configured to process the at least one line pattern, each of said at least one line patterns associated with an action of the device, and output a control signal to the non-tactile device related to the action.

Techniques are described for determining cognitive impairment, an example of which includes accessing a set of epochs of magnetoencephalography (MEG) data of responses of a brain of a test patient to a plurality of auditory stimulus events; processing the set of epochs to identify parameter values one or more of which is based on information from the individual epochs without averaging or otherwise collapsing the epoch data. The parameter values are input into a model that is trained based on the parameters to determine whether the test patient is cognitively impaired.

Techniques are described for determining cognitive impairment, an example of which includes accessing a set of epochs of magnetoencephalography (MEG) data of responses of a brain of a test patient to a plurality of auditory stimulus events; processing the set of epochs to identify parameter values one or more of which is based on information from the individual epochs without averaging or otherwise collapsing the epoch data. The parameter values are input into a model that is trained based on the parameters to determine whether the test patient is cognitively impaired.

Compositions and methods are provided for the detection and/or diagnosis of traumatic brain injury.

Compositions and methods are provided for the detection and/or diagnosis of traumatic brain injury.

Various embodiments disclosed herein comprise systems and methods to conform magnetic field sensors to a target geometry. In some examples, an apparatus is configured to conform to a target geometry. The apparatus comprises a sensor mount and a sensor array. The sensor mount comprises a flexible state for a first environmental condition and a rigid state for a second environmental condition. The sensor mount transitions from the flexible state to the rigid state when the first environmental condition transitions to the second environmental condition. The sensor mount transitions from the rigid state to the flexible state when the second environmental condition transitions to the first environmental condition. The sensor array is coupled to the sensor mount.

Various embodiments disclosed herein comprise systems and methods to conform magnetic field sensors to a target geometry. In some examples, an apparatus is configured to conform to a target geometry. The apparatus comprises a sensor mount and a sensor array. The sensor mount comprises a flexible state for a first environmental condition and a rigid state for a second environmental condition. The sensor mount transitions from the flexible state to the rigid state when the first environmental condition transitions to the second environmental condition. The sensor mount transitions from the rigid state to the flexible state when the second environmental condition transitions to the first environmental condition. The sensor array is coupled to the sensor mount.

In one aspect, a computer-implemented method corrects a multi-sphere head model used in dipole localization for a set of magnetic field sensors (MEG sensors) by replacing ghost spheres with replacement spheres that are not ghost spheres. One type of ghost sphere completely encloses the brain volume but is so large that a center of the sphere is outside the brain volume. Another type of ghost sphere lies entirely outside the brain volume. Various approaches for correcting ghost spheres are disclosed.

In one aspect, a computer-implemented method corrects a multi-sphere head model used in dipole localization for a set of magnetic field sensors (MEG sensors) by replacing ghost spheres with replacement spheres that are not ghost spheres. One type of ghost sphere completely encloses the brain volume but is so large that a center of the sphere is outside the brain volume. Another type of ghost sphere lies entirely outside the brain volume. Various approaches for correcting ghost spheres are disclosed.