A device is provided for diagnostic measurement by simultaneous multimodal analysis of a subject's head wherein the cerebral blood flow variations as well as the concentration level of oxygenation in the subject's blood are used to determine the presence and the pathophysiology of neurocognitive disorders, including the neurodegenerative disease referred to as Alzheimer's disease.

A system, method and apparatus for assessment and optional treatment of spatial attention deficit, such as neglect for example, with computational feedback, based upon tracking the movement of the user.

Methods and systems monitor and assess brain bioimpedance through the use of an ocular window that assesses dynamic changes in cerebral blood volume (CBV). That ocular window is implemented through an ocular bioimpedance device that, in a non-invasive manner, measures numerous different brain health indicators using the bioimpedance measurements collected through the regions around the eyes. The ocular bioimpedance device may be goggles with localized measurement electrodes that include cathodes and anodes.

Disclosed herein are implementations of a method and apparatus for stroke self-detection. The method and apparatus may include a mobile platform for stroke detection. The method may include receiving sensor data. The method may include comparing the sensor data with a baseline test result to determine a test score. The method may include determining a passing test result based on a threshold. The method may include transmitting the results or an alert to one or more of an emergency contact, emergency medical services, a physician, or a telemedicine provider.

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 medical device for monitoring biological parameters through an Abreu Brain Thermal Tunnel (ABTT) is provided. By monitoring and analyzing the temperature of the ABTT, it is possible to diagnosis changes in a patient or subject under a variety of conditions, including predicting the course of medical conditions. Furthermore, since the ABTT is predictive, analysis of the ABTT may be used to control mechanisms for safety when an impending medical condition makes such operation hazardous.

Apparatus, systems, and methods are provided for generating a quantified indicator of cognitive skills in an individual. In certain configurations, the apparatus, systems, and methods can be implemented for enhancing cognitive skills in an individual.

The present disclosure relates to: a method for evaluating a state of a motor function of a patient who has or is suspected of having brain damage by using parameters obtained from a diffusion weighted image of the patient's brain; a program for executing the method in a computer; and an image processing device and an MRI device which can be used in practicing the method. According to the present disclosure, the motor function state of a patient who has or is suspected of having brain damage can be evaluated, and it is also possible to predict the recovery of the motor function after regeneration treatment. Accordingly, whether the patient is suitable for the regeneration treatment can be determined before the start of the treatment.

An apparatus is described for measuring hemodynamic or metabolic function of an organ or tissue region of a subject comprising a super-continuum laser operating in the near or short-wave infrared wavelength range and comprising a multi-stage amplifier. A source fiber delivers the super-continuum emission to the organ or tissue region, and a collection fiber receives reflected emission from the region. A detector followed by a processor is used to determine a metabolic state and an oxygenation state of the organ or tissue region. A signal-to-noise ratio of the signal is improved using a dual-arm differential measurement technique.

One or more tractograms of a global tractography of a tissue of interest are determined. At least one instance of diffusion magnetic resonance imaging data of the tissue of interest is obtained. A trained machine-learning algorithm generates the one or more tractograms based on the at least one instance of the diffusion magnetic resonance imaging data.