A method to measure a cognitive load based upon ocular information of a subject includes the steps of: providing a video camera configured to record a close-up view of at least one eye of the subject; providing a computing device electronically connected to the video camera and the electronic display; recording, via the video camera, the ocular information of the at least one eye of the subject; processing, via the computing device, the ocular information to identify changes in ocular signals of the subject through the use of convolutional neural networks; evaluating, via the computing device, the changes in ocular signals from the convolutional neural networks by a machine learning algorithm; determining, via the machine learning algorithm, the cognitive load for the subject; and displaying, to the subject and/or to a supervisor, the cognitive load for the subject.

A method and system for monitoring a user's intoxication including receiving a set of signals, derived from a set of samples collected from the user at a set of time points; providing a sobriety task to the user proximal to a time point of the set of time points; generating a performance dataset characterizing performance of the sobriety task by the user; receiving a supplementary dataset characterizing a demographic profile of the user and/or a physiological state of the user; determining a set of values of an intoxication metric, derived from the set of signals; generating a predicted temporal profile of the intoxication metric for the user based upon the set of values, the set of time points, and the supplementary dataset; generating an analysis of the user's sobriety based upon the performance dataset and the predicted temporal profile; and providing a notification to the user based upon the analysis.

The present invention provides a neurological disorders decision support system that can assist an examiner to diagnose an examinee. The neurological disorders decision support system includes a user module, a screening module, an intelligent calculation module and a diagnosis module. The user module sends an inquiry to the examinee, receives a response message from the examinee, and retrieves a physiological characteristic signal of the examinee. The screening module executes a neurological examination application program to indicate to the examinee to obtain physiological characteristic signals. The screening module outputs response messages and physiological characteristic signals for the intelligent calculation module to execute an algorithm to generate an analysis report. The analysis report assists the examiner for diagnosis, and sends a diagnosis notification to the user module through the diagnosis module. The invention also provides a neurological disorders decision support method.

Devices for determining the likelihood that a user of a primary monitoring device (“PMD”) has developed a medical condition, generally comprising sensors coupled to the PMD, wherein the PMD detects changes to sensor readings over time, and wherein the changes indicate a change in the likelihood that a user of the PMD has developed a medical condition. In some embodiments, motion sensors are operably coupled to the PMD, and the PMD monitors and saves data relating to characteristics of motion detected, which are used to determine whether there has been a change in a likelihood that a user is undergoing a medical event. In further embodiments, the PMD comprises cameras, and the PMD monitors and saves data relating to movement of a user's eyes, which is utilized to determine whether there has been a change to a likelihood that the user is currently undergoing a medical event.

A device may provide a police assistance device to a person. The police assistance device includes hardware for interacting with a person independent of a police officer such as a processor, memory, a display, a camera, a microphone, and a speaker. The devices and methods may connect the suicide attempter with a chosen contact or a mental health provider. The devices and methods may help with traffic stops. The devices and methods may help with weapon detection.

A method and system for monitoring a user's intoxication including receiving a set of signals, derived from a set of samples collected from the user at a set of time points; providing a sobriety task to the user proximal to a time point of the set of time points; generating a performance dataset characterizing performance of the sobriety task by the user; receiving a supplementary dataset characterizing a demographic profile of the user and/or a physiological state of the user; determining a set of values of an intoxication metric, derived from the set of signals; generating a predicted temporal profile of the intoxication metric for the user based upon the set of values, the set of time points, and the supplementary dataset; generating an analysis of the user's sobriety based upon the performance dataset and the predicted temporal profile; and providing a notification to the user based upon the analysis.

A system for transdermal alcohol sensing to be worn near a skin surface of a user, including: an alcohol sensor; a microporous membrane; a housing coupled to the alcohol sensor and the membrane, defining a volume between the alcohol sensor and a first membrane side, and fluidly isolating the volume from a second membrane side opposing the first membrane side; an electronics subsystem electrically coupled to the alcohol sensor, operable to power and receive signals from the alcohol sensor; and a fastener operable to position the second membrane side proximal the skin surface.

The present disclosure relates generally to a system and method for detecting or indicating a state of impairment of a test subject or user due to drugs or alcohol, and more particularly to a method, system and application or software program configured to creating a virtual-reality (“VR”) environment that implements drug and alcohol impairment tests, and which utilizes eye tracking technology to detect or indicate impairment.

A system and associated method for computerized rotational head impulse test (crHIT) to assess the semicircular canals of the human vestibular system clinically in patients with balance disorders. The system utilizes a rotary chair combined with a head mounted VOG system with head tracking sensors. The crHIT protocol uses the same physiologic principles as the known video head impulse test (vHIT). The crHIT utilizes whole-body rotation via the chair to yield a persistent controlled, repeatable, comfortable, reliable stimulus can be delivered while recording eye movements with video-oculogaphy.

A method and system for monitoring a user's intoxication including receiving a set of signals, derived from a set of samples collected from the user at a set of time points; providing a sobriety task to the user proximal to a time point of the set of time points; generating a performance dataset characterizing performance of the sobriety task by the user; receiving a supplementary dataset characterizing a demographic profile of the user and/or a physiological state of the user; determining a set of values of an intoxication metric, derived from the set of signals; generating a predicted temporal profile of the intoxication metric for the user based upon the set of values, the set of time points, and the supplementary dataset; generating an analysis of the user's sobriety based upon the performance dataset and the predicted temporal profile; and providing a notification to the user based upon the analysis.