A system for computer-aided triage can include a router, a remote computing system, and a client application. A method for computer-aided triage can include determining a parameter associated with a data packet, determining a treatment option based on the parameter, and transmitting information to a device associated with a second point of care.

A system is provided for connecting a surgically implantable neurostimulation device to an neurophysiological monitoring device. The system includes an apparatus connecting the neurophysiological monitoring device to the implanted neurostimulation device. The connecting apparatus includes a port couplable to the neurostimulation device and a plurality of electrode pin connectors extending from the port that are connectable to the neurophysiologic monitoring device. Using the connecting apparatus, signals from the neurophysiologic monitoring device can be transmitted for stimulation and responses can be transmitted to the neurophysiologic monitoring device to enable accurate positioning of electrodes of the neurostimulation device.

A brain-computer interface (BCI) includes a multichannel stimulator and a decoder. The multichannel stimulator is operatively connected to deliver stimulation pulses to a functional electrical stimulation (FES) device to control delivery of FES to an anatomical region. The decoder is operatively connected to receive at least one neural signal from at least one electrode operatively connected with a motor cortex. The decoder controls the multichannel stimulator based on the received at least one neural signal. The decoder comprises a computer programmed to process the received at least one neural signal using a deep neural network. The decoder may include a long short-term memory (LSTM) layer outputting to a convolutional layer in turn outputting to at least one fully connected neural network layer. The decoder may be updated by unsupervised updating. The decoder may be extended to include additional functions by transfer learning.

Proposed are concepts for predicting the likelihood of a brain injury of a subject resulting from a fall event experienced by the subject. Such concepts may therefore be useful for determining a need for further medical assessment or treatment of a fall by the subject. According to an exemplary concept, data from one or more sensors is used to determine information about a fall of a subject. Such information is then used in conjunction with a prediction algorithm to derive a probability of a brain injury.

A method includes implanting an implantable biosensor within a subject where the implantable biosensor has an array of light sources and an array of light detectors, activating the array of light sources to direct light signals at a targeted tissue site in the subject, capturing, with the light detectors, the light signals reflected off the targeted site, calculating a roundtrip propagation time for each of the light signals and comparing the roundtrip propagation time for each of the light signals against previous calculated respective roundtrip propagation times to determine an occurrence of a change in the targeted tissue site.

New and innovative systems and methods for auto-navigation in an integrated surgical navigation and visualization system are disclosed. An example system comprises: a single cart providing motility; a stereoscopic digital surgical microscope comprising a surgical visualization camera and a localizer; one or more computing devices (e.g., a single computing device powered by a single power connection) housing and jointly executing a surgical navigation module and a surgical visualization module, wherein the localizer is associated with the surgical navigation module, and wherein the surgical visualization camera is associated with the surgical visualization module; a single unified display; a processor; and memory. The system may generate a transformation of patient data associated with a patient to the surgical visualization camera; calibrate the surgical visualization camera and the localizer; provide visualization of the surgical site via the single unified display; and provide navigation of the surgical site responsive to user input.

A wearable module assembly for an optical measurement system includes a first wearable module, a second wearable module, and a connector. The first and second wearable modules each include a light source configured to emit a light pulse toward a target within a body of a user, a housing that houses the light source and the plurality of detectors and includes a substantially hexagonal surface that faces a surface of the body of the user when the wearable module assembly is worn by the user, and a plurality of detectors each positioned at a fixed distance from the first light source and each configured to detect a set of photons included in the light pulse after the set of photons are scattered by the target. The connector directly connects the first wearable module and the second wearable module at mutually-facing side surfaces of the respective housings.

A system configured to perform the DCS-type measurements with the use of low-coherence continuous-wave (CW) light source at levels of light intensities that are substantially lower and with pathlengths through the tissue that are substantially longer than those afforded by the use of conventional methods. The method includes utilizing the optical detection system to producing signals representing interference between the portion of CW light arriving through reference arm of interferometer and the sample CW light potion that has traversed the sample arm including different paths through the target tissue while switching between first and second of said different paths only by adjusting a delay in the delay line. The spatial resolution of different pathlengths of sample light through tissue is defined by coherence length of CW light.

Systems and methods for monitoring blood supply to the brain of an individual are presented; the system comprising a sensing unit configured to be placed in a vicinity of at least one blood vessel and operable to collect over time, from the at least one blood vessel, measured data indicative of one or more hemodynamic parameters; and a control and processing unit in communication with the sensing unit, the control and processing unit being operable to receive and analyze said measured data, determine hemodynamic data comprising said one or more hemodynamic parameters, analyze said hemodynamic data and, upon detecting a predetermined change over time in the hemodynamic data, generate output data indicative of a blood supply condition to the brain of the individual.

A computer-implemented process for electromagnetic imaging, the process including the steps of: accessing scattering data representing at least a two-dimensional array of measurements of electromagnetic wave scattering by internal features of an object, wherein the object is generally symmetrical with respect to a plane of symmetry through the object, and each said measurement represents scattering of electromagnetic waves emitted by a corresponding antenna of an array of antennas disposed about the object as measured by a corresponding antenna of the array of antennas; and processing the scattering data to generate image data representing a spatial distribution of at least one internal feature of the object, wherein the generation of the image data does not involve tomographic reconstruction but is in accordance with statistical metrics of similarity between pairs of corresponding regions within the object on either side of the plane of symmetry.