A computing device for use in a system for mapping brain activity of a subject includes a processor. The processor is programmed to select a plurality of measurements of brain activity that is representative of at least one parameter of a brain of the subject during a resting state. Moreover, the processor is programmed to compare at least one data point from each of the measurements with a corresponding data point from a previously acquired data set from at least one other subject. The processor is also programmed to produce at least one map for each of the measurements based on the comparison of the resting state data point and the corresponding previously acquired data point. The processor may also be programmed to categorize the brain activity in a plurality of networks in the brain based on the map.

A computing device for use in a system for mapping brain activity of a subject includes a processor. The processor is programmed to select a plurality of measurements of brain activity that is representative of at least one parameter of a brain of the subject during a resting state. Moreover, the processor is programmed to compare at least one data point from each of the measurements with a corresponding data point from a previously acquired data set from at least one other subject. The processor is also programmed to produce at least one map for each of the measurements based on the comparison of the resting state data point and the corresponding previously acquired data point. The processor may also be programmed to categorize the brain activity in a plurality of networks in the brain based on the map.

The disclosure describes a wearable, low-cost and low-power Electrical Impedance Tomography system for gesture recognition. The system measures cross-sectional bio-impedance using electrodes on wearers' skin. Using all-pairs measurements, the interior impedance distribution is recovered, which is then fed to a hand gesture classifier. This system also solves the problem of poor accuracy of gesture recognition often observed with other gesture recognition approaches.

The disclosure describes a wearable, low-cost and low-power Electrical Impedance Tomography system for gesture recognition. The system measures cross-sectional bio-impedance using electrodes on wearers' skin. Using all-pairs measurements, the interior impedance distribution is recovered, which is then fed to a hand gesture classifier. This system also solves the problem of poor accuracy of gesture recognition often observed with other gesture recognition approaches.

There is provided a nerve activity monitoring method that includes receiving an input signal indicative of activity in a nerve of a subject; receiving physiological data indicative of physiological activity in the subject; establishing a relationship between the physiological data and the input signal; identifying a plurality of periodic portions in the input signal based on the relationship between the physiological data and the input signal; and outputting the periodic portions identified.

Various aspects of the disclosure relate to evaluating the electromagnetic impedance characteristics of a material under test (MUT) over a range of frequencies. In particular aspects, a system includes: an electrically non-conducting container sized to hold the MUT, the electrically non-conducting container having a first opening at a first end thereof and a second opening at a second, opposite end thereof; a transmitting electrode assembly at the first end of the electrically non-conducting container, the transmitting electrode assembly having a transmitting electrode with a transmitting surface; and a receiving electrode assembly at the second end of the electrically non-conducting container, the receiving electrode assembly having a receiving electrode with a receiving surface, wherein the receiving electrode is approximately parallel with the transmitting electrode, and wherein the transmitting surface of the transmitting electrode is larger than the receiving surface of the receiving electrode.

Various aspects of the disclosure relate to evaluating the electromagnetic impedance characteristics of a material under test (MUT) over a range of frequencies. In particular aspects, a system includes: an electrically non-conducting container sized to hold the MUT, the electrically non-conducting container having a first opening at a first end thereof and a second opening at a second, opposite end thereof; a transmitting electrode assembly at the first end of the electrically non-conducting container, the transmitting electrode assembly having a transmitting electrode with a transmitting surface; and a receiving electrode assembly at the second end of the electrically non-conducting container, the receiving electrode assembly having a receiving electrode with a receiving surface, wherein the receiving electrode is approximately parallel with the transmitting electrode, and wherein the transmitting surface of the transmitting electrode is larger than the receiving surface of the receiving electrode.

Disclosed is a system for evaluating brain trauma via regional changes in tissue impedance. The present disclosure describes a system for non-invasive intracranial monitoring, comprising two or more affecting electrodes arranged between a conductive location of a cranium of a patient and a location on a scalp of the patient, two or more effected electrodes arranged between the conductive location of the cranium of the patient and the location on the scalp of the patient, and processing circuitry configured to apply an electrical stimulus between the two or more affecting electrodes, measure an electrical stimulus differential between the two or more effected electrodes, calculate, for the two or more effected electrodes, a value of an impedance metric, and identify, based on the calculated value of the impedance metric, a health condition of the patient.

Systems and method for remote field measurement-based mapping of anatomical structures (e.g., using impedance image of electrical fields) are described. In some embodiments, an image of features within a target region is produced by analysis of a spatial pattern of field measurements made in a measurement region remote from the target region features; for example, but not exclusively, by treating the spatial arrangement of field measurements in some portion of the measurement region as indicating the spatial (e.g., angular and/or distance) arrangement of features (e.g., anatomical structure of topography and/or tissue type) in the target region.

Systems and method for remote field measurement-based mapping of anatomical structures (e.g., using impedance image of electrical fields) are described. In some embodiments, an image of features within a target region is produced by analysis of a spatial pattern of field measurements made in a measurement region remote from the target region features; for example, but not exclusively, by treating the spatial arrangement of field measurements in some portion of the measurement region as indicating the spatial (e.g., angular and/or distance) arrangement of features (e.g., anatomical structure of topography and/or tissue type) in the target region.