Embodiments of the invention are directed towards systems, methods and computer program products for providing improved eye tests. Such tests improve upon current eye tests, such as visual field tests, by incorporating virtual reality, software mediated guidance to the patient or practitioner such that more accurate results of the eye tests are obtained. Furthermore, through the use of one or more trained machine learning or predictive analytic systems, multiple signals obtained from sensors of a testing apparatus are evaluated to ensure that the eye test results are less error-prone and provide a more consistent evaluation of a user's vision status. As it will be appreciated, such error reduction and user guidance systems represent technological improvements in eye tests and utilize non-routine and non-conventional approaches to the improvement and reliability of eye tests.

System for integrally measuring clinical parameters of the visual function including a display unit (20) for representing a scene with a 3D object having variable characteristics such as virtual position and virtual volume of the 3D object within the scene; movement sensors (60) for detecting the user head position and distance from the display unit (20); tracking sensors (10) for detecting the user pupils position and pupillary distance; an interface (30) for the user interaction on the scene; processing means (42,44) for analysing the user response based on the data coming from sensors (60,10) and the interface (30), with the characteristics variations of the 3D object; and based on the estimation of a plurality of clinical parameters of the visual function related to binocularity, accommodation, ocular motility and visual perception.

A mask for performing an eye exam of a subject includes one or more optically transparent sections for transmitting an incident light beam therethrough and incident on the subject's eye. In some embodiments, the one or more optically transparent sections are coated with an anti-reflective coating configured to reduce reflection of the incident light beam by the one or more optically transparent sections. In some embodiments, the one or more optically transparent sections may have a portion thereof that is tilted with respect to the incident light beam when the mask is optically interfaced with the docking portion of an ophthalmic instrument, such that the incident light beam forms a finite angle of incidence with respect to the corresponding portion of the optically transparent sections.

A mask for performing an eye exam of a subject includes one or more optically transparent sections for transmitting an incident light beam therethrough and incident on the subject's eye. In some embodiments, the one or more optically transparent sections are coated with an anti-reflective coating configured to reduce reflection of the incident light beam by the one or more optically transparent sections. In some embodiments, the one or more optically transparent sections may have a portion thereof that is tilted with respect to the incident light beam when the mask is optically interfaced with the docking portion of an ophthalmic instrument, such that the incident light beam forms a finite angle of incidence with respect to the corresponding portion of the optically transparent sections.

The present specification describes methods and systems for modifying a media, such as Virtual Reality, Augmented Reality, or Mixed Reality (VR/AR/MxR) media based on a vision profile and a target application. In embodiments of the specification, a Sensory Data Exchange (SDE) is created that enables identification of various vision profiles for users and user groups. The SDE may be utilized to modify one or more media in accordance with each type of user and/or user group.

The present specification describes methods and systems for modifying a media, such as Virtual Reality, Augmented Reality, or Mixed Reality (VR/AR/MxR) media based on a vision profile and a target application. In embodiments of the specification, a Sensory Data Exchange (SDE) is created that enables identification of various vision profiles for users and user groups. The SDE may be utilized to modify one or more media in accordance with each type of user and/or user group.

A method, a device, and a corresponding computer program product for calculating (optimizing) and producing a spectacle lens with the aid of a semi-personalized eye model. In one approach, the method includes providing personalized refraction data of at least one eye of the spectacles wearer; establishing a personalized eye model in which at least the parameters: shape of an anterior corneal surface of a model eye; a cornea-lens distance; parameters of the lens of the model eye; and lens-retina distance are established using personalized measured values for the eye of the spectacles wearer, and/or using standard values, and/or using the provided personalized refraction data, such that the model eye has the provided personalized refraction data, wherein at least the establishment of the lens-retina distance takes place via calculation.

A portable wireless neuromonitoring device can be used to diagnose and/or treat conditions of the brain and vision system. The device includes a sensor unit mountable on the head of a human subject and capable of recording signals from the brain in EEG and/or EFEG (electric field encephalography) mode, and the device can be used for simultaneous stimulus display and recording with latency of less than 1 millisecond. The device also includes electrodes that allow rapid set-up and measurement with low impedance contact with the scalp. The device can also be used in conjunction with virtual reality or alternate reality environments.

A portable wireless neuromonitoring device can be used to diagnose and/or treat conditions of the brain and vision system. The device includes a sensor unit mountable on the head of a human subject and capable of recording signals from the brain in EEG and/or EFEG (electric field encephalography) mode, and the device can be used for simultaneous stimulus display and recording with latency of less than 1 millisecond. The device also includes electrodes that allow rapid set-up and measurement with low impedance contact with the scalp. The device can also be used in conjunction with virtual reality or alternate reality environments.

Machine learning technologies are used to identify and separating abnormal and normal subjects and identifying possible disease types with images (e.g., optical coherence tomography (OCT) images of the eye), where the machine learning technologies are trained with only normative data. In one example, a feature or a physiological structure of an image is extracted, and the image is classified based on the extracted feature. In another example, a region of the image is masked and then reconstructed, and a similarity is determined between the reconstructed region and the original region of the image. A label (indicating an abnormality) and a score (indicating a severity) can be determined based on the classification and/or the similarity.