Disclosed are a medical device apparatus, system, and method. A method includes receiving biometric information, by an external device external to a body of a user, of the user from an internal device within the body of the user, and wirelessly transmitting stimulus information configured to specify a stimulus based on the biometric information, and power to the internal device configured to drive the internal device and to apply the stimulus in response to the transmitted stimulus information. A method also includes wirelessly transmitting, from an internal device in a body of a user, biometric information of the user to an external device located outside the body of the user, and wirelessly receiving from the external device stimulus information configured to specify a stimulus, and power configured to drive the internal device and to apply the stimulus to the user in response to the received stimulus information.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for visualizing complex connectome interactions relevant to a medical condition. One of the methods includes receiving brain data for a brain of a patient, processing the brain data to determine multiple brain parcels that are predicted to be relevant to a medical condition, determining, for each of multiple brain parcels that are predicted to be relevant to the medical condition, a respective brain network affiliation, and providing, to a user device of a user, data for displaying a visualization that includes one or more respective brain network affiliations determined for each of multiple brain parcels that are predicted to be relevant to the medical condition.

Featured are methods, apparatus and devices for detecting a hematoma in tissue of a patient. In one aspect, such a method includes emitting near infrared light continuously into the tissue from a non-stationary near infrared light emitter and continuously monitoring the tissue using a non-stationary probe so as to continuously detect reflected light. The near infrared light is emitted at two distances from a brain of the patient, so the emitted light penetrates to two different depths. Such a method also includes applying a ratiometric analysis to the reflected light to distinguish a border between normal tissue and tissue exhibiting blood accumulation.

Neurological abnormalities are often discovered through observation by health care providers, and/or parent report. Many neurodevelopmental disorders such as ASD are purely identified through behavioral analysis, and cannot be screened for using a biomarker or quantitative stimulus-response test. Current screening tools contain subjective components based on parent report and clinician observation, vary in consistency of use across providers, and demands resources, knowledge, and access to skilled expertise. As a result, the only tests used today require lengthy and subjective behavioral analysis and often, miss or misidentify neurodevelopmental disorders contributing to a delayed diagnosis. The technology disclosed herein allow for a solution to this systemic problem.

Embodiments may provide improved visual prosthesis to restore functional vision in those with partial or total blindness. In an embodiment, a system for artificial vision may comprise a camera adapted to obtain visual information corresponding to a field of view of a person, processing circuitry adapted to transform the obtained visual information to control signals for controlling artificial visual stimulation, communication circuitry adapted to transmit the control signals to an implanted device to perform artificial visual stimulation, and an implant device adapted to be implanted within a body of the person for interacting with brain tissue to perform artificial visual stimulation, wherein the implant device is adapted to receive the control signals, generate stimulation signals based on the control signals, and apply the stimulation signals to neural tissue, wherein the implant device is further adapted to apply stimulation to at least 100,000 sites of the neural tissue..

In an embodiment, a neuroimager alignment and coupling evaluation (NACE) system, includes a neuroimaging device; a fiducial affixed to the neuroimaging device; an imaging device; and an augmented reality (AR) module coupled to the imaging device and configured to provide alignment data for the neuroimaging device by tracking facial or cranial landmarks and the fiducial.

A mouth guard senses impact forces and determines if the forces exceed an impact threshold. If so, the mouth guard notifies the user of the risk for injury by haptic feedback, vibratory feedback, and/or audible feedback. The mouth guard system may also remotely communicate the status of risk and the potential injury. The mouth guard uses a local memory device to store impact thresholds based on personal biometric information obtained from the user and compares the sensed forces relative to those threshold values. The mouth guard and its electrical components on the printed circuit board are custom manufactured for the user such that the mouth guard provides a comfortable and reliable fit, while ensuring exceptional performance.

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.

An exemplary optical measurement system includes a light source configured to emit light directed at a target. The optical measurement system further includes a photodetector configured to detect a photon of the light after the light is scattered by the target. The optical measurement system further includes a control circuit configured to receive a first input voltage that is a temperature-dependent voltage. The control circuit is further configured to receive a second input voltage that is a temperature-invariant voltage. The control circuit is further configured to output, based on a combination of the first input voltage and the second input voltage, a bias voltage for the photodetector, wherein the combination of the first and second input voltages is configured to cause the bias voltage to vary based on temperature.

The invention relates to a computer-implemented method for identifying clinically meaningful representations of speech data for monitoring or diagnosis of a health condition, the method comprising: providing a main model comprising a trained neural network, trained to map an input representation encoding input speech data from a speaker to an output representation for use in providing a health condition prediction, the neural network comprising one or more internal network layers each comprising an internal representation which is passed to a subsequent network layer; inputting speech data from a speaker into the main model to form the internal representations of the input speech data; training a probe comprising a machine learning model, independently to the training of the main model, to map an internal representation of the input speech data an internal network layer of the main model to an independently determined measure of a clinically relevant feature of the input speech data or the speaker, where a clinically relevant feature is a property of the input speech or speaker that is impacted by a health condition. By training a probe externally to the main model, to map an internal representation to an independently determined measure of a clinically relevant feature, it is possible to identify associations within the internal representations that otherwise might not be found by the main model and to build improved representations based on these associations.