Eye-tracking method and system for screening human diseases
First Claim
1. A method of assessing, diagnosing, or assessing and diagnosing a neurobehavioural disorder in a subject, comprising:
- using a processor-based computational model to select one or more feature in a visual scene and generate a spatial map having first map values that are predictive of eye movement end points of a hypothetical observer relative to the one or more feature;
recording the subject'"'"'s eye movements while the subject freely observes the visual scene; and
generating second map values that correspond to the subject'"'"'s eye movement endpoints that do not rely on the subject performing a task;
quantifying a difference between the second map values and a set of map values selected randomly from the first map values;
wherein the difference is indicative of a neurobehavioural disorder in the subject.
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Abstract
This invention provides methods, system, and apparatus for assessing and/or diagnosing a neurobehavioural disorder in a subject. The methods, systems, and apparatus include the subject freely observing a visual scene, without having to carry out a task or follow specific instructions. In one embodiment, a computational model is used to select one or more feature in a visual scene and generate a spatial map having first map values that are predictive of eye movement end points of a hypothetical observer relative to the one or more feature. A subject'"'"'s eye movements are recorded while the subject freely observes the visual scene, and a difference between second map values that correspond to the subject'"'"'s eye movement endpoints and a set of map values selected randomly from the first map values is quantified, wherein the difference is indicative of a neurobehavioural disorder in the subject. Neurobehavioural disorders such as Parkinson'"'"'s disease, Alzheimer'"'"'s disease, Huntington'"'"'s disease, fetal alcohol spectrum disorder, attention deficit hyperactivity disorder, schizophrenia, autism, Tourette syndrome, and progressive supranuclear palsy may be assessed and/or diagnosed.
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Citations
25 Claims
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1. A method of assessing, diagnosing, or assessing and diagnosing a neurobehavioural disorder in a subject, comprising:
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using a processor-based computational model to select one or more feature in a visual scene and generate a spatial map having first map values that are predictive of eye movement end points of a hypothetical observer relative to the one or more feature; recording the subject'"'"'s eye movements while the subject freely observes the visual scene; and generating second map values that correspond to the subject'"'"'s eye movement endpoints that do not rely on the subject performing a task; quantifying a difference between the second map values and a set of map values selected randomly from the first map values; wherein the difference is indicative of a neurobehavioural disorder in the subject. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. Apparatus for assessing, diagnosing, or assessing and diagnosing a neurobehavioural disorder in a subject, comprising:
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a visual scene and a spatial map corresponding to the visual scene, the spatial map having first map values that are predictive of eye movement end points of a hypothetical observer observing the visual scene, relative to the one or more feature; an input for receiving data corresponding to eye movements of a subject observing the visual scene, the data including second map values that correspond to the subject'"'"'s eye movement endpoints that do not rely on the subject performing a task; and a processor that quantifies a difference between the second map values and a set of map values selected randomly from the first map values, and outputs the difference; wherein the difference is indicative of a neurobehavioural disorder in the subject. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17)
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18. A method of assessing, diagnosing, or assessing and diagnosing a neurobehavioural disorder in a subject, comprising:
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monitoring the subject'"'"'s eye movements while the subject freely observes a visual scene and preparing second map values that correspond to the subject'"'"'s eye movement endpoints, wherein the second map values correspond to the subject'"'"'s eye movement endpoints that do not rely on the subject performing a task; quantifying a difference between the second map values and a set of first map values; wherein the first map values were obtained using a processor-based computational model that selects one or more feature in the visual scene and generates spatial map values comprising the first map values, the spatial map values being predictive of eye movement end points of a hypothetical observer relative to the one or more feature; wherein the difference is indicative of a neurobehavioural disorder in the subject. - View Dependent Claims (19, 20, 21, 22, 23, 24, 25)
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Specification