Devices and method for determining a pupil size of a subject having closed eyelids.

Devices and method for determining a pupil size of a subject having closed eyelids.

In at least some examples, a method of treating an eye, includes (i) imaging a patient's vitreous using a probe, (ii) defining a window on a desired region of the vitreous, (iii) administering ultrasonic energy treatment to the desired region within the window, (iv) continually monitoring the treatment via the probe, (v) adjusting a characteristic of the ultrasonic energy treatment based on the monitoring, (vi) re-imaging the desired region of the vitreous after the treatment is administered, and (vii) evaluating or observing the desired region to determine whether a target percentage of a vitreous opacity has been resolved.

Embodiments of the present systems and methods may provide improved, automated monitoring of brain function. In embodiments, a multimodal, multi-sensor monitoring device may provide to monitoring of the full spectrum of brain function. In an embodiment, a system for monitoring brain function of a subject may include an apparatus for mounting a plurality of stimulus and response sensors on a head of the subject, including a cognizance stimuli-sensor suite, a physiologic sensor suite, and advance monitoring devices such as a transcranial Doppler puck, an electroencephalograph monitor, and an optic nerve sheath parameter sensor.

A system and method for detecting a stroke includes a non-contact ocular pulse measurement device configured to output a first and a second ocular pulse measurement signals for each of a patient's eyes, respectively. A computing system has a processor and a memory, and the memory stores instructions that when executed cause the processor to analyze the first and second ocular pulse measurements. An index of difference between the first and second ocular pulse measurements is determined, and a user interface is generated that includes a stroke advisory to the patient based on the index of difference.

Disclosed herein is a system that uses an eye tracker for diagnosing and facilitating rehabilitation therapy of a patient suffering from disability. The system creates a human machine interface (HMI) that integrates various low cost biosensors and artificial sensors for conducting rehabilitation therapy. The system combines spinal and supra-spinal feedback of the patient with the operant conditioning to facilitate visuomotor balance therapy (VBT), thereby reducing fall risk in disability survivors. The operant conditioning setup for shaping of visuomotor learning to bring about new behavior or to modify a certain aspect of an existing behavior is used for rehabilitation therapy that includes a behaviour response apparatus, a reward delivery module, a stimulus delivery system, and a behaviour control system. The system can also be extended to the patient's home for providing telerehabilitation therapy.

Disclosed herein is a system that uses an eye tracker for diagnosing and facilitating rehabilitation therapy of a patient suffering from disability. The system creates a human machine interface (HMI) that integrates various low cost biosensors and artificial sensors for conducting rehabilitation therapy. The system combines spinal and supra-spinal feedback of the patient with the operant conditioning to facilitate visuomotor balance therapy (VBT), thereby reducing fall risk in disability survivors. The operant conditioning setup for shaping of visuomotor learning to bring about new behavior or to modify a certain aspect of an existing behavior is used for rehabilitation therapy that includes a behaviour response apparatus, a reward delivery module, a stimulus delivery system, and a behaviour control system. The system can also be extended to the patient's home for providing telerehabilitation therapy.

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.

Methods and systems for measuring the intraocular pressure of an eye in a human. The methods include directing an acoustic incident wave at the surface of the eye to generate a reflected wave, measuring the coefficient of reflection of the incident and reflected waves, and determining the intraocular pressure of the eye from the coefficient of reflection. Also disclosed are methods of diagnosing glaucoma and/or intraocular hypertension.