Method and system for detecting concussion
Inventors
Samadani, Rosina • Sanderson, Daniel O. • Sanderson, Joel D.
Assignees
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Publication Number
US-11141095-B2
Publication Date
2021-10-12
Expiration Date
Abstract
A method for identifying an occurrence of a concussion in a subject involves capturing eye blink raw data from at least one eye of the subject. The method next involves analyzing the eye blink raw data to generate at least a first subject specific eye blink metric and determining that a significant difference exists between the first subject specific eye blink metric and a predefined normal value. Next, the occurrence of the concussion in the subject may be identified, based on determining that the significant difference exists.
Core Innovation
The invention provides a method for identifying an occurrence of a concussion in a subject based on eye-blink behavior. A visual stimulus is presented on a display, and eye blink raw data is captured from two eyes of the subject in response to the visual stimulus using an eye tracking device having a camera.
The eye blink raw data is analyzed via a processor to generate at least a first subject specific eye blink metric. The eye blink metric comprises a measure of how often blinks from the two eyes overlap over a period of time when subjected to a common visual stimulus on the display.
A statistically significant difference is determined between the first subject specific eye blink metric and a predefined normal value via the processor. Based on determining that the statistically significant difference exists, the processor identifies the occurrence of the concussion in the subject.
Claims Coverage
The document explicitly includes one independent claim. The independent claim contains visual-stimulus presentation, camera-based capture of eye blink raw data from two eyes, generation of a subject specific eye blink metric, and identification of concussion based on a statistically significant difference from a predefined normal value.
Visual stimulus presentation and camera-based dual-eye blink capture
Presenting a visual stimulus on a display and capturing eye blink raw data from two eyes of the subject in response to the visual stimulus using an eye tracking device having a camera.
Subject-specific blink overlap metric from raw data
Analyzing the eye blink raw data, via a processor, to generate at least a first subject specific eye blink metric comprising a measure of how often blinks from the two eyes overlap over a period of time when subjected to a common visual stimulus on the display.
Statistically significant difference versus predefined normal value
Determining that a statistically significant difference exists between the first subject specific eye blink metric and a predefined normal value, via the processor.
Concussion identification based on statistical significance
Identifying, via the processor, the occurrence of the concussion in the subject based on determining that the statistically significant difference exists.
Across the independent claim, concussion identification is grounded in a subject-specific eye-blink overlap metric derived from dual-eye raw blink capture during a common visual stimulus, followed by a determination that the metric differs statistically from a predefined normal value.
Stated Advantages
Documented Applications
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