Abstract: Methods and systems are provided for verifying results of a self-test by a subject using a test kit. The subject's identity may be verified, for example using AI-assistant facial recognition and/or data obtained from scanned government issued documents of the subject. Images obtained while the test is conducted may be used to determine if the test is conducted properly and images obtained of the completed self-test may be analyzed to determine the test results. Test results, verified as belonging to the subject and having been correctly performed, may be uploaded to a remote database as part of a health “passport” program.

Abstract: A device (10) for treating eye movement disorders is described. The device is wearable, and utilizes servo controlled prisms to treat disorders of ocular mobility in non-invasive and non-pharmacologic manner. Probe (20) comprises an eye movement sensor. The device (10) oscillates the image of the world as perceived by a patient in lock step with pathological nystagmus to negate its deleterious effects. Furthermore, the subject treatment device negates only abnormal eye movement. Voluntary, and normal reflex eye movements required for normal vision do not affect operation of the device. In addition to acquired pendular nystagmus (APN), the device is potentially usable to treat non-sinusoidal ocular oscillations (e.g., jerk nystagmus), strabismus, vestibular insufficiency, and other ocular mobility disorders. A corresponding method for treating APN and other eye movement disorders is also described.