Abstract: A video feed of one or more pupils of a patient can be received and processed to determine a raw measure of pupil size of the one or more pupils over time. Based on this raw measure, at least one of a) a depth of anesthesia for the patient, b) an index of cognitive activity for the patient, and c) a degree of perfusion of an anesthetic being administered to the patient to one or both hemispheres of a brain of the patient can be determined such that one or more actions can be caused to be performed. Related systems, methods, and article of manufacture are described.

Abstract: Described and illustrated herein are methods and systems for the use of physiological data relating to cognitive state of a user, recorded from one or more sensors, for analyzing and reporting assessments of the cognitive state of the user.

Abstract: A video feed of one or more pupils of a patient can be received and processed to determine a raw measure of pupil size of the one or more pupils over time. Based on this raw measure, at least one of a) a depth of anesthesia for the patient, b) an index of cognitive activity for the patient, and c) a degree of perfusion of an anesthetic being administered to the patient to one or both hemispheres of a brain of the patient can be determined such that one or more actions can be caused to be performed. Related systems, methods, and article of manufacture are described.

Abstract: A video feed of one or more pupils of a patient can be received and processed to determine a raw measure of pupil size of the one or more pupils over time. Based on this raw measure, at least one of a) a depth of anesthesia for the patient, b) an index of cognitive activity for the patient, and c) a degree of perfusion of an anesthetic being administered to the patient to one or both hemispheres of a brain of the patient can be determined such that one or more actions can be caused to be performed. Related systems, methods, and article of manufacture are described.

Abstract: A media analysis tool is provided for defining dynamic regions of a digital media segment. The dynamic regions may contain at least part of a visible feature of the segment. Correlation of the defined regions with external data quantifying attention of a subject viewing the segment to locations on the screen provides measures of interest level and attention to visible features in the segment. The dynamic regions may be defined in only some of the frames of a segment. The dynamic region may be interpolated or extrapolated for frames in which it is not explicitly defined.

Abstract: A video feed of one or more pupils of a patient can be received and processed to determine a raw measure of pupil size of the one or more pupils over time. Based on this raw measure, at least one of a) a depth of anesthesia for the patient, b) an index of cognitive activity for the patient, and c) a degree of perfusion of an anesthetic being administered to the patient to one or both hemispheres of a brain of the patient can be determined such that one or more actions can be caused to be performed. Related systems, methods, and article of manufacture are described.

Abstract: A media analysis tool is provided for defining dynamic regions of a digital media segment. The dynamic regions may contain at least part of a visible feature of the segment. Correlation of the defined regions with external data quantifying attention of a subject viewing the segment to locations on the screen provides measures of interest level and attention to visible features in the segment. The dynamic regions may be defined in only some of the frames of a segment. The dynamic region may be interpolated or extrapolated for frames in which it is not explicitly defined.

Abstract: Test stimuli for visual media may be generated by incorporation of one or more element images selected from a library into a presentation area. The test stimuli may be displayed or presented to one or more subjects and metrics indicating the attentiveness of the subjects to various locations in the composite image may be measured. These metrics may be analyzed with placement parameters for incorporation of the element images into the composite image to determine subject reactions to various aspects of the test stimuli.

Abstract: A media analysis tool is provided for defining dynamic regions of a digital media segment. The dynamic regions may contain at least part of a visible feature of the segment. Correlation of the defined regions with external data quantifying attention of a subject viewing the segment to locations on the screen provides measures of interest level and attention to visible features in the segment. The dynamic regions may be defined in only some of the frames of a segment. The dynamic region may be interpolated or extrapolated for frames in which it is not explicitly defined.

Abstract: A media analysis tool is provided for defining dynamic regions of a digital media segment. The dynamic regions may contain at least part of a visible feature of the segment. Correlation of the defined regions with external data quantifying attention of a subject viewing the segment to locations on the screen provides measures of interest level and attention to visible features in the segment. The dynamic regions may be defined in only some of the frames of a segment. The dynamic region may be interpolated or extrapolated for frames in which it is not explicitly defined.

Abstract: A media analysis tool is provided for defining dynamic regions of a digital media segment. The dynamic regions may contain at least part of a visible feature of the segment. Correlation of the defined regions with external data quantifying attention of a subject viewing the segment to locations on the screen provides measures of interest level and attention to visible features in the segment. The dynamic regions may be defined in only some of the frames of a segment. The dynamic region may be interpolated or extrapolated for frames in which it is not explicitly defined.