Abstract: 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. The method further includes the steps of using a pupilometer to track the pupil's constriction response over a duration of time, wherein the step of tracking the pupil constriction response begins substantially simultaneously with or immediately subsequent to time 0 and lasts for a period of time y, and using the pupilometer to collect a plurality of data points in which each data point corresponds with a diameter of the pupil at a specific time within the time duration y. The method further includes the step of generating a pupil data profile by compiling the data points and determining whether one or more conditions arc met.

Abstract: 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.

Abstract: A pupilometer that has image capturing means, a light source that emits light; and imaging software that processes image data obtained by the image capturing means and produces an output is described. The output comprises a single scalar value indicative of a neurological condition of a patient, wherein the scalar value can be applied to a scale indicative of a neurological condition. The image data comprises one or more components of the pupil's dynamic response to light emitted by the light source.

Abstract: 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.

Abstract: 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. The method further includes the steps of using a pupilometer to track the pupil's constriction response over a duration of time, wherein the step of tracking the pupil constriction response begins substantially simultaneously with or immediately subsequent to time 0 and lasts for a period of time y, and using the pupilometer to collect a plurality of data points in which each data point corresponds with a diameter of the pupil at a specific time within the time duration y. The method further includes the step of generating a pupil data profile by compiling the data points and determining whether one or more conditions arc met.

Abstract: 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.