A device for exploring the visual system, comprising portable viewing equipment having at least one viewing screen configured to be placed facing at least one eye of a person. The viewing equipment comprises sealing lips surrounding the viewing screens and having a free edge intended to be applied against the skin of the person, this free edge comprising at least one electrode for measuring the electrical potential. The device also comprises at least one free electrode for measuring the electrical potential, which free electrode is linked by a connecting wire to a connector carried by the viewing equipment, between one of the viewing screens and the free edge of the sealing lips surrounding this screen.

A device for exploring the visual system, comprising portable viewing equipment having at least one viewing screen configured to be placed facing at least one eye of a person. The viewing equipment comprises sealing lips surrounding the viewing screens and having a free edge intended to be applied against the skin of the person, this free edge comprising at least one electrode for measuring the electrical potential. The device also comprises at least one free electrode for measuring the electrical potential, which free electrode is linked by a connecting wire to a connector carried by the viewing equipment, between one of the viewing screens and the free edge of the sealing lips surrounding this screen.

The present invention generally relates to an image guided variable spot stimulation-based electrophysiology assessment device for different biomedical applications. Specifically, the invention relates to application of the device to perform image-guided functional assessment upon variable spot optical stimulation of light-activatable biological specimens to determine changes in the functional health during disease progression and therapy. More specifically, the invention relates to the application of the device in the diagnosis of visual and neurological disorders.

The present invention generally relates to an image guided variable spot stimulation-based electrophysiology assessment device for different biomedical applications. Specifically, the invention relates to application of the device to perform image-guided functional assessment upon variable spot optical stimulation of light-activatable biological specimens to determine changes in the functional health during disease progression and therapy. More specifically, the invention relates to the application of the device in the diagnosis of visual and neurological disorders.

A method of diagnosing glaucoma using machine learning methods comprises determining a labeled training data set. The labeled training data set comprises electroretinography (ERG) signals measured from a group of subjects. The ERG signals are labeled either glaucomatous or non-glaucomatous based on the subject from which each ERG signal was measured. The training data set is used to train a machine learning model, WNW such as a decision tree model, a discriminant model, a support vector machine, a nearest neighbor algorithm, or an ensemble classifier. The resulting trained machine learning model is configured to classify an ERG signal input as glaucomatous or non-glaucomatous. The model can be employed by measuring an ERG from a subject and inputting the measured ERG into the trained machine learning model. The subject can be diagnosed as having glaucoma based on an output classification of glaucomatous.

A method of diagnosing glaucoma using machine learning methods comprises determining a labeled training data set. The labeled training data set comprises electroretinography (ERG) signals measured from a group of subjects. The ERG signals are labeled either glaucomatous or non-glaucomatous based on the subject from which each ERG signal was measured. The training data set is used to train a machine learning model, WNW such as a decision tree model, a discriminant model, a support vector machine, a nearest neighbor algorithm, or an ensemble classifier. The resulting trained machine learning model is configured to classify an ERG signal input as glaucomatous or non-glaucomatous. The model can be employed by measuring an ERG from a subject and inputting the measured ERG into the trained machine learning model. The subject can be diagnosed as having glaucoma based on an output classification of glaucomatous.

Systems, devices, and methods for electrophysiological recording from the eye are disclosed herein. An electroretinography device can detect a biopotential signal from an eye of a subject and transmit the same to a processor. Embodiments of the present technology include one or more features directed to improving the use and operability of an electroretinography device. For example, the device can include a proximal inner surface having a recess feature for removing or receiving fluids trapped between the device and the eye. The recess feature can include one or more grooves, channels or textured surface designed to collect and direct fluids away from the space between the device and the eye. The number, shape, size, position, orientation, and other features of the grooves and channels can be varied.

Systems, devices, and methods for electrophysiological recording from the eye are disclosed herein. An electroretinography device can detect a biopotential signal from an eye of a subject and transmit the same to a processor. Embodiments of the present technology include one or more features directed to improving the use and operability of an electroretinography device. For example, the device can include features for (i) improving the quality of light stimulus delivered to the eye or (ii) providing a better fit around the eye or a contact lens worn on the eye. These features can account for anatomical differences between different subjects by either masking or accommodating such differences.

Systems, devices, and methods for electrophysiological recording from the eye are disclosed herein. An electroretinography device can detect a biopotential signal from an eye of a subject and transmit the same to a processor. Embodiments of the present technology include one or more features directed to improving the use and operability of an electroretinography device. For example, the device can include features for (i) improving the quality of light stimulus delivered to the eye or (ii) providing a better fit around the eye or a contact lens worn on the eye. These features can account for anatomical differences between different subjects by either masking or accommodating such differences.

Systems, devices, and methods for electrophysiological recording from the eye are disclosed herein. An electroretinography device can detect a biopotential signal from an eye of a subject and transmit the same to a processor. Embodiments of the present technology include one or more features directed to improving the use and operability of an electroretinography device. For example, the device can include features for (i) inhibiting multiple devices from adhering or sticking to one another or a different object and (ii) providing tactile feedback to users to help distinguish one side of the device from the other.