Examples disclosed herein are relevant to monitoring and treating sensory conditions affecting an individual. Sensors and intelligence integrated within a sensory prosthesis (e.g., an auditory prosthesis) can automatically obtain objective data regarding the ability of one or more of an individuals senses during day-to-day activities. A treatment action can be taken based on the objective data. Further disclosed herein are techniques relating to reducing the gathering of irrelevant sensory input and automatically transmitting relevant data to a caregiver device.

Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and/or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user's body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects.

A computer, a high resolution monitor and a patient interface is utilized to implement a visual contrast sensitivity function measurement test. More specifically, a computerized video system is configured to implement a tilted-grating forced choice contrast sensitivity function test. The invention utilizes known measurement methods for the visual contrast sensitivity function and automates their use by computerizing the system and couples it with a patient-interactive user interface in order to produce an accurate quantitative result.

A viewing target for a visual acuity and refraction measurement includes at least one line comprising a width dimension that is below a resolution limit width (hereinafter “RLW”) of a test subject visual acuity, and an adjustable length dimension that is initially set at greater than the RLW of the test subject visual acuity. A base, at least approximately intersecting the line, has a thickness along the direction of the length of the line that is greater than the RLW of the test subject visual acuity. The length dimension of the line is adjustable in increments small enough to effectively approximate the visual acuity of the test subject by determining a shortest resolvable line and a next smaller line that is not resolvable by the test subject.

An evaluation device includes: a display screen configured to displays images; a gaze point detection unit configured to detect a position of a gaze point of an examinee who observes the display screen; a display controller configured to display an indicator at an offset position having a predetermined relative positional relationship with the gaze point on the display screen based on a detection result of the position of the gaze point; an arithmetic unit configured to determine whether the examinee has recognized the indicator; and an evaluation unit configured to evaluate a visual function of the examinee based on a determination result from the arithmetic unit, wherein the arithmetic unit is further configured to determine that the examinee has recognized the indicator when the gaze point moves toward the indicator and thus the offset position is located outside the display screen.

A Progressive Lens Simulator comprises an Eye Tracker, for tracking an eye axis direction to determine a gaze distance, an Off-Axis Progressive Lens Simulator, for generating an Off-Axis progressive lens simulation; and an Axial Power-Distance Simulator, for simulating a progressive lens power in the eye axis direction. The Progressive Lens Simulator can alternatively include an Integrated Progressive Lens Simulator, for creating a Comprehensive Progressive Lens Simulation. The Progressive Lens Simulator can be Head-mounted. A Guided Lens Design Exploration System for the Progressive Lens Simulator can include a Progressive Lens Simulator, a Feedback-Control Interface, and a Progressive Lens Design processor, to generate a modified progressive lens simulation for the patient after a guided modification of the progressive lens design. A Deep Learning Method for an Artificial Intelligence Engine can be used for a Progressive Lens Design Processor. Embodiments include a multi-station system of Progressive Lens Simulators and a Central Supervision Station.

A Progressive Lens Simulator comprises an Eye Tracker, for tracking an eye axis direction to determine a gaze distance, an Off-Axis Progressive Lens Simulator, for generating an Off-Axis progressive lens simulation; and an Axial Power-Distance Simulator, for simulating a progressive lens power in the eye axis direction. The Progressive Lens Simulator can alternatively include an Integrated Progressive Lens Simulator, for creating a Comprehensive Progressive Lens Simulation. The Progressive Lens Simulator can be Head-mounted. A Guided Lens Design Exploration System for the Progressive Lens Simulator can include a Progressive Lens Simulator, a Feedback-Control Interface, and a Progressive Lens Design processor, to generate a modified progressive lens simulation for the patient after a guided modification of the progressive lens design. A Deep Learning Method for an Artificial Intelligence Engine can be used for a Progressive Lens Design Processor. Embodiments include a multi-station system of Progressive Lens Simulators and a Central Supervision Station.

The device for screening for bioactive materials using the visual recognition of animals according to the present invention includes: an accommodating member (100) in which animals administered with a candidate bioactive material are accommodated; an imaging member (200) which captures images of the animals; and a detecting member (300) which reads the images in order to detect the visual recognition reactions of the animals. According to the method of the present invention for screening for bioactive materials using visual recognition of animals, the animals are administered with the candidate bioactive material, and the visual recognition reactions of the animals are detected.

The device for screening for bioactive materials using the visual recognition of animals according to the present invention includes: an accommodating member (100) in which animals administered with a candidate bioactive material are accommodated; an imaging member (200) which captures images of the animals; and a detecting member (300) which reads the images in order to detect the visual recognition reactions of the animals. According to the method of the present invention for screening for bioactive materials using visual recognition of animals, the animals are administered with the candidate bioactive material, and the visual recognition reactions of the animals are detected.

The present disclosure provides improved methods and apparatus for evaluation of an individual's cognitive performance in a fast-paced, visually dynamic environment. The apparatus may comprise a display configured to present a plurality of stimuli to the subject, and a processor coupled to the display, the processor comprising instructions to determine a subject's visual perceptual skills, memory and learning skills, and response command and control skills. The methods and apparatus described herein can evaluate key cognitive processes that underlie split-second decision-making in visually dynamic environments. The results can provide comparison of cognitive skills across individuals performing in a specific environment, as well as evaluations of more targeted sets of cognitive processes for specific positions in an environment that might require unique sets of skills.