A patient's sensitivity to motion can be evaluated via a virtual reality (VR) system, which includes a VR headset in electronic communication with a computing device. The computing device causes virtual environments, which can include continuously moving elements, to be displayed on the VR headset. Using varying combinations of eye-tracking sensors, eye-tracking cameras, motion-tracking sensors, handheld devices, and microphones, the VR headset can collect data about the patient as she observes the virtual environment and inputs her motion sensitivity response. Optionally, advanced algorithms in the computing device dynamically alter the motion of the moving elements in the virtual environment based on the patient's inputs. This dynamic evaluation can facilitate a detailed assessment of the patient's motion sensitivity while preventing the patient from becoming too motion sick during the evaluation.

A balance prosthesis device for an individual including a sensor module configured to obtain a sensor signal indicative of a balance or equilibrium state of the individual, a processing module configured to determine at least one neurostimulation signal based at least in part on the obtained sensor signal, and a transmitter module configured to transmit the determined neurostimulation signal to a neurostimulation device of the individual. The neurostimulation signal is configured to elicit an artificial sensation in a specific sensory cortex area of the individual via directly stimulating afferent sensory axons of the central or peripheral nervous system of the individual targeting sensory neurons of the sensory cortex area not directly associated with vestibulocortical pathways of the individual. The elicited artificial sensation provides a balance indication to the individual in order to support, mimic, substitute or enhance the natural sense of balance of the individual.

The motion sickness estimation device includes an opening and closing detection unit configured to detect an opening/closing state of an eye of a vehicle occupant, a face direction estimation unit configured to estimate an orientation of a face of the occupant, and an occupant state estimation unit configured to calculate a traveling speed of the motion sickness with respect to the occupant based on the opening/closing state of the eye and the orientation of the face.

A disorder detection system includes: a pair of left and right footrests configured so that left and right feet of a user are respectively placed thereon to perform an exercise of legs therewith; a pair of left and right slide mechanisms for enabling the footrests to slide in a front/rear direction with respect to a sitting part, the slide mechanisms including a resistance part for applying a resistance to the sliding; a moving mechanism for enabling the left and right slide mechanisms and the footrests to move independently of each other; an angle detection unit for detecting angles of joints of left and right lower legs of the user around a roll axis, a yaw axis, and a pitch axis; and a display unit for displaying the detected angles of the joints of the left and right lower legs of the user around the roll, yaw, and pitch axes.

A method and apparatus for testing balance of a subject is provided. The apparatus includes a plurality of modules detachably coupled together to form a walkway. Each module includes an obstacle. The obstacle of one of the modules is a movable obstacle configured to move from a first position to a second position. The obstacle of one of the modules is a fixed obstacle in a fixed position. A system is also provided that includes the apparatus of the first set of embodiments. The system also includes a sensor configured to measure a value of a parameter indicating a characteristic of motion of a subject over the walkway. A method is also provided that includes detachably coupling the plurality of modules together to form the walkway. The method further includes measuring the parameter value indicating the response of the subject to each obstacle of each module along the walkway.

A balance function management system includes at least one processor, and a memory that stores instructions executable by the processor and stores at least one artificial neural network model executed on a computing device, in which the at least one processor may input frame images of n videos of a subject captured by n (natural number) cameras to at least one artificial neural network model to acquire at least one of information related to head coordinates, coordinates of a pupil center, and eye phase changes of the subject according to an order of frame images of an m-th (natural number from 1 to n) video, and use the information to generate information on a balance function status or information related to head movement and eye movement for performing a balance function rehabilitation program.

A medical system comprising a patch device and a computer. The patch device is in communication with the computer. The patch device is configured for generating measurement data or providing a therapy. The patch device comprises electronic circuitry, a battery, an antenna system, one or more sensors, an IMU (inertial measurement unit), and a flexible enclosure. The antenna system can comprise a dual antenna formed on a dielectric substrate with a first antenna on a first side of the dielectric substrate and a second antenna on a second side of the dielectric substrate. The one or more sensors can comprise devices configured to provide measurement data or a therapy. The IMU is configured to measure position, movement, and trajectory of the patch device. The electronic circuitry is configured to harvest energy from one or more radio frequency signals received by the antenna system to recharge the battery.

The present disclosure provides systems and methods for performing a clinical assessment of a neurological disease, disorder, or condition. In an aspect, a system may comprise sensors, which sensors are configured to acquire sensor data of the subject over a period of time; and which mobile electronic device, comprises: an electronic display; a wireless transceiver; and one or more computer processors configured to (i) receive the sensor data from the sensors, (ii) process the sensor data or features extracted therefrom using a trained algorithm to generate an output indicative of a state of a neurological disease, disorder, or condition of the subject, and (iii) based at least in part on the generated output, perform a clinical assessment on the subject.

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.

A system includes a sensing assembly configured to be disposed on a mastoid of a user. The sensing assembly includes a housing, a first sensor disposed in the housing and configured to measure a first phybrata signal from the user, and a second sensor disposed in the housing and configured to measure a second phybrata signal from the user, the second phybrata signal different from the first phybrata signal. A controller is in communication with the sensing assembly. The controller is configured to: receive a first phybrata data from the sensing assembly, the first phybrata data including information obtained from the first phybrata signal and the second phybrata signal. The controller is configured to determine a phybrata parameter associated with the user based on the first phybrata data, and determine a phybrata signature associated with the user based on the phybrata parameter.