Oculometric assessment of sensorimotor impairment
AssigneeUnited States of America as represented by the Administrator of NASA
InventorsLeland S. Stone, Dorion B. Liston
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Abstract
Various conditions, such as traumatic brain injuries (TBI), diseases, injuries, and/or other impairments, may be diagnosed by deriving a sensitive overall indicator of impairment of sensorimotor functional status based on results of an eye-movement assessment test that includes an appropriately randomized, radial tracking task together with a broad set of oculometric measures. The oculometric measures may be combined to yield the sensitive overall indicator of a particular impairment state. More specifically, the oculometric measures may be vectorized to help diagnose both the type of TBI, disease, or impairment and the extent thereof.
Claims18
A computer-implemented method for improved detection of clinical conditions for individuals, comprising:
- creating search templates for a plurality of clinical conditions, by a computing system, each search template comprising a vector in multi-dimensional space indicative of a respective clinical condition;
- receiving, by the computing system, oculometric testing data collected from oculometric testing, the oculometric testing data including data collected from a randomized, radial tracking task performed on an individual and a plurality of oculometric measures collected from the individual;
- creating a vector for the individual, by the computing system, based on the oculometric testing data;
- analyzing the vector for the individual, by the computing system, against one or more of the search templates;
- and
- producing an impairment index that is a projection of the vector for the individual onto the one or more search templates based on the analyzing,
- wherein
- the step of producing the impairment index comprises taking a dot product of the vector for the individual and each search template and dividing the dot product by a scaling factor, and
- wherein the impairment index is a scalar measure of severity of the individual's clinical condition.
A non-transitory computer-readable medium storing a computer program, the program configured to cause at least one processor to:
- receive oculometric testing data collected from oculometric testing, the oculometric testing data including data collected from a randomized, radial tracking task performed on an individual and a plurality of oculometric measures collected from the individual;
- create a vector for the individual based on the oculometric testing data;
- analyze the vector for the individual against a search template;
- produce an impairment index that is a projection of the vector for the individual onto the search template based on the analyzing, the search template comprising a vector in multi-dimensional space indicative of a respective condition,
- wherein to produce the impairment index comprises determining the impairment index by taking a dot product of the vector for the individual and each search template and dividing the dot product by a scaling factor, and wherein the impairment index is a scalar measure of severity of the individual's clinical condition.
A computing system, comprising:
- memory storing computer program code for performing oculometric assessment of sensorimotor impairment;
- and
- at least one processor configured to execute the computer program code, the computing system configured to:
- receive oculometric testing data collected from oculometric testing, the oculometric testing data including data collected from a randomized, radial tracking task performed on an individual and a plurality of oculometric measures collected from the individual;
- create a vector for the individual based on the oculometric testing data;
- analyze the vector for the individual against a search template, the search template comprising a vector in multi-dimensional space indicative of a respective condition, and
- produce an impairment index based on the analysis that is a projection of the vector for the individual onto the search template based on the analyzing, wherein to produce the impairment index comprises determining the impairment index by taking a dot product of the vector for the individual and each search template and dividing the dot product by a scaling factor, and wherein the impairment index is a scalar measure of severity of the individual's clinical condition.
Dependencies are inferred from the claim text.