51 results about "Pupillary response" patented technology

The smart contact lens system hereby proposed, integrates a number of electronic, electro-optical or optical components on the contact lens substrate. The system, inter alia, is arranged to identify and track changes in pupillary response due to mental task engagement, also known as task-evoked pupillary response. To this end, the system proposed tracks a variety of conditions affecting reflexes such as pupillary reflex or accommodation reflex, in order to compute the extent of pupil dilation attributable to the mental task engagement. Another aspect of present invention is a smart contact lens system, which minimizes pupillary reflex caused by light by controlling the amount of light entering the eye. When pupillary reflex is non-existent, computing a task-evoked pupillary response becomes a much easier task.

The present invention provides biosensor, communicator, and / or controller devices, systems, and methods for monitoring the movement of a human eye. The apparatus includes: a device for wearing on a user's head; a light source for directing light to one or both eyes of the user; one or more image guides on the device for viewing one or both eyes of the user; and The device carries one or more cameras connected to the image guide for obtaining images of the eye and / or the user's surroundings. The device may include a cable and / or a transmitter for transmitting image data from the camera to a remote location, eg, to a processor and / or display for analyzing and / or displaying the image data. A system including the device can be used to monitor one or more eye movement parameters, eg pupillary response, and / or to control a computer using the human eye instead of a mouse.

Solutions for evaluating the pupillary responses of a patient are disclosed. An illustrative method includes alternately exposing a first eye and a second eye of the patient to light stimulation in successive intervals, the light stimulation provided by at least one light source controlled by at least one computing device; concurrently capturing, with at least one image device controlled by the at least one computing device, image data of the first eye and the second eye during the exposing; and using the at least one computing device to perform the following: determine a center point of the first eye within the image data of the first eye and a center point of the second eye within the image data of the second eye; obtain image data of a first half of the first eye having an edge defined by a line of pixels intersecting the determined center point of the first eye; obtain image data of a second half of the second eye, the second half of the second eye opposing the first half of the first eye and having an edge defined by a line of pixels intersecting the determined center point of the second eye; create a composite image including the image data of the first half of the first eye and the image data of the second half of the second eye; and provide the composite image for evaluation.

Biosensor, communicator, and / or controller apparatus, systems, and methods are provided for monitoring movement of a person's eye. The apparatus includes a device configured to be worn on a user's head, a light source for directing light towards one or both eyes of the user, one or more image guides on the device for viewing one or both eyes of the user, and one or more cameras carried on the device and coupled to the image guides for acquiring images of the eyes and / or the user's surroundings. The apparatus may include a cable and / or a transmitter for transmitting image data from the camera to a remote location, e.g., to processor and / or display for analyzing and / or displaying the image data. A system including the apparatus may be used to monitor one or more oculometric parameters, e.g., pupillary response, and / or to control a computer using the user's eyes instead of a mouse.

The invention administers an objective clinical test to an eye that measures the visual sensitivity of the superior retina and the inferior retina, by alternately presenting a stimulus pair comprising a shaped superior light stimulus and a shaped inferior light stimulus that are horizontal mirror images of one another and have shapes encompassing visual field defects. The shaped superior and inferior light stimuli stimulate pupillary responses whose amplitudes are measured. A cycle-averaged pupillary response balance and a luminance ratio are computed for each presentation of a stimulus pair. A stimulus pair response curve is computed by fitting cycle-averaged pupillary response balances to a sigmoid function of the luminance ratios. A balanced luminance ratio at which the cycle-averaged pupillary response balance is equal to about zero is computed from the sigmoid function. The balanced luminance ratio is indicative of the presence and location of retinal nerve damage.

Devices, systems, and methods perform diagnostic and / or treatment procedures on an eye using a pupilometer to determine a change in pupil size, a processor and a variable illumination source. In response to a change in pupil size as determined by the pupilometer, the processor may determine an optical light output sufficient to induce a pupillary response and mitigate the change in pupil size. The system directs the desired optical light output to the eye with the variable illumination source optionally to prevent the pupil size from exceeding certain limits so as to improve torsional tracking of markers of the eye.

A computationally efficient and robust approach for monitoring the instantaneous pupil response as a correlate to significant cognitive response to relevant stimuli derives data samples d(n) of the pupil diameter (area), v(n) of pupil velocity and a(n) of pupil acceleration from the pupillary response and segments the data samples into a sequence of time-shifted windows. A feature extractor extracts a plurality of spatio-temporal pupil features from the data samples from the response and baseline periods in each window. A classifier trained to detect patterns of the extracted spatio-temporal pupil features for relevant stimuli generates an output indicative of the occurrence of absence of a significant cognitive response in the subject to a relevant stimulus.

In one embodiment, a portable pupillometer including a testing compartment, at least one ocular disposed on the testing compartment, two or more light sources disposed in the testing compartment and forming a plurality of visual stimuli for a subject looking through the at least one ocular, at least one camera configured to capture images of a pupil of the subject via infrared detection, the images indicating pupillary responses to the two or more light sources, and an interface for connection with a computing device external to the pupillometer, the interface adapted to (i) provide, to the computing device, images from the at least one camera, and (ii) receive, from the computing device, control signals for controlling the plurality of light sources.

A method of screening for retinal disease including directing a first light at a first portion of the retina, directing a second light at a second portion of the retina, measuring a first pupillary response of the eye as a result of the first light and a second pupillary response as a result of the second light, and generating an indication of a severity level of the retinal disease using the first pupillary response and the second pupillary response. Also, an apparatus that implements this method including a light source for directing a first light at a first retinal portion and a second light at a second retinal portion, a pupil measuring device for measuring the pupillary response of the eye as a result of the first light and second light, a processor in electronic communication with the pupil measuring device, and a memory in electronic communication with the processor.

A computationally efficient and robust approach for monitoring the instantaneous pupil response as a correlate to significant cognitive response to relevant stimuli derives data samples d(n) of the pupil diameter (area), v(n) of pupil velocity and a(n) of pupil acceleration from the pupillary response and segments the data samples into a sequence of time-shifted windows. A feature extractor extracts a plurality of spatio-temporal pupil features from the data samples from the response and baseline periods in each window. A classifier trained to detect patterns of the extracted spatio-temporal pupil features for relevant stimuli generates an output indicative of the occurrence of absence of a significant cognitive response in the subject to a relevant stimulus.

A pupilometer having a pupil irregularity or non-uniformity detection capability. The pupilometer may comprise an imaging sensor for generating signals representative of a pupil of an eye, a data processor; and a program executable by the data processor for enabling the data processor to process signals received from the imaging sensor and to thereby identify one or more regions of non-uniformity within an image of a perimeter of the pupil. The pupilometer may incorporate several innovative calibration and thresholding routines and may provide the basis for an innovative medical diagnostics system, when coupled to a network containing a suitable medical database and data processing hardware.

Systems and methods for blue light adjustment with a wearable display system are provided. Embodiments of the systems and methods for blue light adjustment can include receiving an initial eye image obtained by an image capture device; adjusting a level of blue light exposed to an eye associated with the initial eye image; receiving an adjustment eye image of the eye exposed to the adjusted level of blue light; detecting a change in a pupillary response of the adjustment eye image relative to the initial eye image; determining that the detected change in the pupillary response passes a biometric application threshold; and utilizing eye images or the detected change in the pupillary response for a biometric application.

The invention administers an objective clinical test to an eye that measures the visual sensitivity of the superior retina and the inferior retina, by alternately presenting a stimulus pair comprising a shaped superior light stimulus and a shaped inferior light stimulus that are horizontal mirror images of one another and have shapes encompassing visual field defects. The shaped superior and inferior light stimuli stimulate pupillary responses whose amplitudes are measured. A cycle-averaged pupillary response balance and a luminance ratio are computed for each presentation of a stimulus pair. A stimulus pair response curve is computed by fitting cycle-averaged pupillary response balances to a sigmoid function of the luminance ratios. A balanced luminance ratio at which the cycle-averaged pupillary response balance is equal to about zero is computed from the sigmoid function. The balanced luminance ratio is indicative of the presence and location of retinal nerve damage.

The present system for analyzing eye responses accurately and automatically tracks the size, location, and movement of a subject's pupil(s) in response to a predetermined test protocol. These eye responses include both ocularmotor and pupillary responses to illumination and target tracking for either eye or both eyes simultaneously. The series of digital image frames of a subject's eyes, taken during the execution of a predetermined stimulus protocol, are automatically processed to determine pupil location, size, and responsiveness to changes in illumination.

Systems and methods for blue light adjustment with a wearable display system are provided. Embodiments of the systems and methods for blue light adjustment can include receiving an eye image of an eye exposed to an adjusted level of blue light; detecting a change in a pupillary response by comparison of the received eye image to a first image; determining that the pupillary response corresponds to a biometric characteristic of a human individual; and allowing access to a biometric application based on the pupillary response determination.

A system for detection of noncompliance including substance abuse, driving under influence, and untruthful testimony giving under law enforcement setting, comprising optical sensors for capturing a subject's pupillary responses, blinking eye movements, point-of-gaze, facial expression, and head pose during a compliance test session. The system can also be applied in neurocognitive disorder diagnosis. The subject's affective and cognitive states estimation based on the captured sensory data during a diagnosis test is feedback to the system to drive the course of the compliance or cognitive test, adaptively change the test materials, and influence the subject's affective and cognitive states. The estimated affective and cognitive states in turn provide a more accurate reading of the subject's condition.

The present system for analyzing eye responses accurately and automatically tracks the size, location, and movement of a subject's pupil(s) in response to a predetermined test protocol. These eye responses include both ocularmotor and pupillary responses to illumination and target tracking for either eye or both eyes simultaneously. The series of digital image frames of a subject's eyes, taken during the execution of a predetermined stimulus protocol, are automatically processed to determine pupil location, size, and responsiveness to changes in illumination.

A pupilometer having image capturing means, illumination means generating and emitting light of a first wavelength, stimulation means generating and emitting light of a second wavelength, and image processing software. The image processing software receives data from the image capturing means, identifies a pupil's dynamic response to light generated by the stimulation means, analyzes one or more components of the pupil's dynamic response, and produces an output comprising a value indicative of a neurological condition of a patient.

A method is provided of systematically evaluating and treating dynamic autonomic dysregulation in a subject. The method includes having the subject sequentially assume a plurality of distinct postures that may include, for example, walking, standing, sitting or supine. In each posture of the subject, the subject is subjected to sensory stimulation while measuring at least one autonomic physiological response of the subject. The autonomic physiological response may include, for example, oxygen saturation, heart rate, pupillary response, blood pressure, sweat production, pseudomotor activity or respiration. The physiological responses in each of the distinct postures are evaluated to identify a posture wherein the subject exhibits a least amount of dysfunction.

A method of screening a pupil of a subject to determine whether the pupil reflex resembles a canonical pupil reflex is disclosed. The method comprises the steps of stimulating the pupil with a stimulus source, such as a pupilometer and determining whether one of various pupillary response conditions is met.

A system and method allow for inducing and measuring a consensual pupillary response of a subject. The system includes an induction device and a measuring device, the induction device being structured to generate at least one stimuli and to expose a primary eye of the subject to the stimuli. The measuring device of the system includes a monitoring mechanism structured to allow a consensual pupillary response to be detected, and an analysis mechanism to interpret the detected consensual pupillary response. The measuring device may also include a recording device and a display device, to allow recording and displaying of the detected consensual pupillary response, respectively. The method includes exposing the primary eye of the subject to the stimuli, monitoring and detecting the consensual pupillary response in the secondary eye of the subject, and analyzing the detected consensual pupillary response. The method may also include recording and displaying the detected consensual pupillary response.

A portable, non-invasive binocular scanning apparatus for rapid assessment of neurological function in cases of potential trauma, disease, and / or exposure to chemical treat agents. The scanning apparatus may utilize a combination of light sources for the measurement and assessment of pupillary response, retinal imagery, and / or other ophthalmologic biomarkers. The scanning apparatus can detect and assess a wide range of neurological and physiological conditions by obtaining pertinent measurements from the retina and pupil in real time.

Solutions for evaluating the pupillary responses of a patient are disclosed. An illustrative method includes alternately exposing a first eye and a second eye of the patient to light stimulation in successive intervals, the light stimulation provided by at least one light source controlled by at least one computing device; concurrently capturing, with at least one image device controlled by the at least one computing device, image data of the first eye and the second eye during the exposing; and using the at least one computing device to perform the following: determine a center point of the first eye within the image data of the first eye and a center point of the second eye within the image data of the second eye; obtain image data of a first half of the first eye having an edge defined by a line of pixels intersecting the determined center point of the first eye; obtain image data of a second half of the second eye, the second half of the second eye opposing the first half of the first eye and having an edge defined by a line of pixels intersecting the determined center point of the second eye; create a composite image including the image data of the first half of the first eye and the image data of the second half of the second eye; and provide the composite image for evaluation.

Systems and methods for blue light adjustment with a wearable display system are provided. Embodiments of the systems and methods for blue light adjustment can include receiving an eye image of an eye exposed to an adjusted level of blue light; detecting a change in a pupillary response by comparison of the received eye image to a first image; determining that the pupillary response corresponds to a biometric characteristic of a human individual; and allowing access to a biometric application based on the pupillary response determination.

A method of screening for retinal disease including directing a first light at a first portion of the retina, directing a second light at a second portion of the retina, measuring a first pupillary response of the eye as a result of the first light and a second pupillary response as a result of the second light, and generating an indication of a severity level of the retinal disease using the first pupillary response and the second pupillary response. Also, an apparatus that implements this method including a light source for directing a first light at a first retinal portion and a second light at a second retinal portion, a pupil measuring device for measuring the pupillary response of the eye as a result of the first light and second light, a processor in electronic communication with the pupil measuring device, and a memory in electronic communication with the processor.

A portable, non-invasive binocular scanning apparatus for rapid assessment of neurological function in cases of potential trauma, disease, and / or exposure to chemical treat agents. The scanning apparatus may utilize a combination of light sources for the measurement and assessment of pupillary response, retinal imagery, and / or other ophthalmologic biomarkers. The scanning apparatus can detect and assess a wide range of neurological and physiological conditions by obtaining pertinent measurements from the retina and pupil in real time.

Systems and methods are disclosed for assessing the function of parts of one or more sensory fields of a subject. Pupillary responses to at least two clustered ensembles of stimuli presented to predetermined portions of the sensory fields to be tested are measured. Each cluster comprises individual stimuli presented at locations across the sensory field, where the locations are defined on appropriate axes for the tested sensory fields. The method comprises: presenting statistically independent sequences of selected individual stimuli from the two or more clustered stimulus ensembles to a sensory field of a subject, thereby evoking pupillary responses in at least one pupil of the subject; detecting responses of the pupil or pupils evoked by the stimuli using at least one sensor; and processing the detected responses to relate the detected response to the sensory function of each component part of the sensory field. The sensory fields may be, but are not limited to, the visual fields of the two eyes of a subject.