A method and device includes generating and displaying a first set of objects and a second set of objects; displaying a first object belonging to either the first set of objects or the second set of objects; receiving a first response of whether the first object belongs to the first set of objects or the second set of objects; determining whether the first response correctly identifies a set of objects to which the first object belongs; displaying a second object from either the first set of objects or the second set of objects; receiving a second response of whether the first object belongs to the first set of objects or the second set of objects; determining whether the second response correctly identifies the set of objects to which the second object belongs; and applying an algorithm to determine a probability of a cognitive characteristic.

Methods, systems, and devices for multiple wearable devices are described. A method may include receiving first physiological data associated with a user from a first wearable device worn at a first position on the user and second physiological data associated with the user from a second wearable device worn at a second position on the user. This method may include determining one or more physiological characteristics associated with the user based on a comparison of the first physiological data and the second physiological data and displaying an indication of the one or more physiological characteristics on a graphical user interface (GUI) of a user device.

A brain network and brain addictive connectivity computing method and device are disclosed. The method includes: obtaining real brain functional magnetic resonance (fMRI) images associated with different labels; generating first brain topologies associated with the different labels based on at least one training real brain fMRI image sample; generating a brain addiction standard feature map based on an additive real brain fMRI image; determining an initial weight value of each of the first brain topologies according to the brain addiction standard feature map; training an addictive brain network analysis model based on the first brain topologies associated with different labels and the initial weight value of each first brain topology; inputting at least one testing real brain fMRI image sample into addictive brain network analysis model to generate first weighted brain topologies.

A method of estimating the likelihood of brain concussion from neurophysiological data acquired from the brain of the subject is disclosed. The method comprises: identifying activity-related features in the data; constructing a subject-specific brain network activity (BNA) pattern having a plurality of nodes, wherein each node represents a feature of the activity-related features, and each pair of nodes is assigned with a connectivity weight; calculating a BNA pattern similarity describing a comparison between the constructed BNA pattern and a baseline BNA pattern being specific to the subject; and assessing the likelihood of brain concussion responsively to the BNA pattern similarity.

Imaging, testing and/or analysis of subjects are facilitated with a capillary-access approach. According to an example embodiment, a capillary is implanted into a specimen and adapted to accept an optical probe to facilitate optical access into the specimen. In some applications, the capillary is implanted for use over time, with one or more different probes being inserted into the capillary at different times, while the capillary is implanted. Certain applications involve capillary implantation over weeks, months or longer. Other applications are directed to the passage of fluid to and/or from a sample via the capillary. Still other applications are directed to the passage of electrical information between the sample and an external arrangement, via an implanted capillary.

A set of shielded coils for wireless power transmission into a medical implant is described in which the external, power transmission coil is blocked at least on one side by a shield with a broken ring and radial fingers while the power receiver coil inside the medical implant is surrounded by a shield having a broken ring connecting radial fingers and ribs around its circumference. The finger and rib configurations minimizes eddy currents in the shields. A ground plane of the implant's internal circuitry, which is within the shield along with the receiver coil, can cap off the cupped receiver shield to form a Faraday cage with it. The metal or other conductive shielding prevents large electric fields from the coils from penetrating into the tissue of the subject while simultaneously allowing magnetic fields inductively couple the coils for charging. An implant with sensitive electrodes that measure minute voltages from a brain or other tissues is protected from capacitively driven voltage swings or other transients during charging.

Provided are systems, methods, and devices for providing mediation of a traumatic brain injury. Systems may include an interface, processing devices, and a controller. The interface is configured to obtain measurements from a brain of a user with a traumatic brain injury. A first processing device is configured to generate multiple brain state parameters characterizing one or more features of a brain state of the user. A second processing device is configured to generate models of the brain of the user based on the plurality of brain state parameters and the plurality of measurements, and determine, using the models and training data comprising one or more mediation data points, a mediation procedure for reducing one or more symptoms of the traumatic brain injury. The mediation procedure is provided to one or more entities, and one or more control signals are generated by the controller based on the mediation procedure.

This brain activity feature amount extraction method includes acquiring a combination of a plurality of data items in order of higher effectiveness for discriminating whether a subject is a healthy person or a non-healthy person, among the plurality of data items, on the basis of the index value serving as the index indicating effectiveness or non-effectiveness for discriminating the group of healthy persons and the group of non-healthy persons from each other, and displaying the acquired combination of the plurality of data items in order of higher effectiveness.

Method and apparatus for illuminating and imaging tissue is provided. In one version, the method includes illuminating a volume of a tissue with photons from a three-dimensional array of optical emitters inserted into the tissue. In another version, the method includes detecting photons from a volume of a tissue using a three-dimensional array of optical detectors inserted into the tissue. A probe device for illuminating tissue and/or detecting photons emitted from tissue includes elongated microsized probes containing optical emitters and optical detectors in a three dimensional array.

Disclosed is a system and method for segmentation of selected data. In various embodiments, automatic segmentation of fiber tracts in an image data may be performed. The automatic segmentation may allow for identification of specific fiber tracts in an image.