The present disclosure is directed to systems and methods for measuring and analyzing pupillary psychosensory responses. An electronic device is configured to receive video data with at least two frames. The electronic device then locates one or more eye objects in the video data and determine pupil and iris sizes of the one or more eye objects. The electronic device determines the pupillary psychosensory responses of the one or more eye objects by tracking a ratio of pupil diameter to iris diameter throughout the video. Several metrics for the pupillary psychosensory responses can be determined (e.g., velocity of change of the ratio, peak to peak amplitude of the change in ratio over time, etc.). These metrics can be used as measures of an individual's cognitive ability and mental health in a single session or tracked throughout multiple sessions.

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.

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.

An ophthalmic apparatus includes an illumination optical system including a slit in which a slit-shaped aperture is formed and an iris aperture in which two apertures are formed at positions away from an optical axis position, the iris aperture being arranged at a position substantially conjugate optically to an iris of a subject's eye between a light source and the slit, and configured to generate slit-shaped illumination light using light from the light source and to guide the illumination light to a fundus of the subject's eye; and an imaging optical system including an imaging aperture in which an aperture is formed, and configured to guide returning light of the illumination light to an image sensor, the returning light being guided from the fundus by pupil division and passing through the aperture formed in the imaging aperture. A width of the slit-shaped aperture, a distance between the two apertures, and a size of the aperture in the imaging aperture are set so that an overlap region of a light flux region of the illumination light and a light flux region of the returning light is located on a side of the fundus from a posterior surface of lens of the subject's eye within the eye of the subject eye.

The disclosure provides a system that may receive an identification of a first patient; may retrieve, based at least on the identification of the first patient, first eye identification information that includes a first plurality of iris structures associated with a first eye of the first patient; may determine a second plurality of iris structures of an eye of a current patient; may determine if the second plurality of iris structures match the first plurality of iris structures; if the second plurality of iris structures match the first plurality of iris structures, may provide an indication that the first eye has been correctly identified; and if the second plurality of iris structures do match the first plurality of iris structures, may provide an indication that the first eye has not been correctly identified.

A fundus imaging apparatus includes an illumination apparatus including a light source and an illumination optical system, and an imaging apparatus including an image sensor and an imaging optical system. The illumination optical system irradiates a fundus with light from the light source. The imaging optical system forms an image of the fundus on the image sensor. An optical axis of the illumination optical system does not match an optical axis of the imaging optical system, or the illumination optical system does not have a specific optical axis.

A computer system for determining onset of an acute coronary syndrome (ACS) event in a remote computing environment comprising one or more processors, one or more computer-readable memories, and one or more computer-readable storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories is provided. The stored program instructions include capturing, using a camera, a first image at a first time of an iris and a pupil of a first eye of a user; following the capturing of the first image, identifying in the first image a first iris information; capturing, using the camera, a second image at a second time of the iris and the pupil of the first eye of the user; following the capturing of the second image, identifying in the second image a second iris information; determining whether the first iris information is within an allowable range of the second iris information; and providing an indication of a likely ACS event based on a determination of whether the first iris information is within the allowable range of the second iris information.

Optical coherence tomography (OCT) imaging systems, handhold probes, and methods that use a field curvature to match a curved surface of tissue are disclosed. According to an aspect, an OCT imaging system includes optical elements to generate diverging light. The system also includes one or more mirrors and a lens system configured to scan the diverging light onto a curved surface of an object for imaging of the object.

The disclosure provides a system that may acquire, via an image sensor, an image of an eye of a person; may determine a location of an iris of the eye from the image; may determine a position of a suction ring from the image; may display, via a display, the image; may display, via the display, a first graphic overlay on the image that indicates the location of the iris of the eye; may display, via the display, a second graphic overlay on the image that indicates the position of the suction ring; may determine multiple iris structures from the image; may determine an orientation of the eye based at least on the multiple iris structures from the image; and may display, via the display, information that indicates the orientation of the eye.

A method of predicting a blood glucose level of a user, comprising: obtaining, by an image capturing device, an iris image of the user; training a first convolutional neural network of a computing device using the iris image as an input to obtain a classification of the iris image; training a second convolutional neural network of the computing device using the classification and the iris image to extract an iris feature vector; and predicting, by the computing device, the blood glucose level of the user based on the iris feature vector.