System and method for detecting neurological disorders and for measuring general cognitive performance
Inventors
Assignees
Interested in licensing this patent?
MTEC can help explore whether this patent might be available for licensing for your application.
Publication Number
US-11694803-B2
Publication Date
2023-07-04
Expiration Date
Abstract
Methods and systems useful for detecting neurological disorders and for measuring general cognitive performance, in particular by measuring eye movements and/or pupil diameter during eye-movement tasks.
Core Innovation
The invention provides a system for detecting one or more cognitive disorders that include frontal, temporal, and or parietal lobes alterations in a subject by measuring eye movements while the subject is reading a text. The system includes an eye tracker configured to monitor eye movements of a subject while reading, a processor configured to receive data from the eye tracker while reading, and a display means configured to display a test report received from the processor. The processor analyzes the eye-tracking data for evidence of one or more cognitive compromises and reports, in the test report, a detection of a measure of cognitive compromises in specific cognitive domains.
The cognitive domains include at least one of working memory, retrieval memory, executive and attentional processes. The disclosed approach also includes a system for detecting one or more neurological disorders and to check cognitive compromises in a subject by measuring eye movements and pupil behavior while the subject is reading, and applying an intelligent algorithm. The eye tracker is configured to monitor eye movements and pupil behavior while reading, and the intelligent algorithm learns, identifies, typifies and classifies eye movements features in pathologies and within pathologies.
The processor analyzes eye tracking data for evidence of one or more neurological disorders and cognitive compromises and reports, in the test report, a detection and classification of the neurological disorders and cognitive compromises both between and within pathologies. The invention further discloses a method for evaluating compromises in neurological functions associated with Multiple Sclerosis using a cue-guided spatial saccade working memory task, measuring saccades in response to a cue, calculating a WM effect and an average saccadic latency, and reporting degrees of compromise in working memory and executive processes, with additional measurements including pupil dilatation, fixations, and gaze duration to report degrees of compromise of subcortical brain areas and executive processes and working memory.
Claims Coverage
The independent claims cover three inventive features: a reading-based eye-tracking cognitive compromise detection system, a reading-based eye and pupil intelligent classification system, and a Multiple Sclerosis cue-guided spatial saccade working memory evaluation method. The claims emphasize eye tracking during reading, processing for domain-specific compromise detection and classification, intelligent algorithm learning and classifying between and within pathologies, and calculation and reporting of WM effect, average saccadic latency, and pupillary and gaze-related measures.
Reading-based eye-tracking cognitive compromise detection system
A system for detecting one or more cognitive disorders that include frontal, temporal, and or parietal lobes alterations in a subject by measuring eye movements performed while the subject is reading a text, comprising an eye tracker, a processor, and a display means, wherein the processor analyzes eye-tracking data for evidence of one or more cognitive compromises and reports a detection of a measure of cognitive compromises in specific cognitive domains that include at least one of working memory, retrieval memory, executive and attentional processes.
Reading-based eye and pupil intelligent classification between and within pathologies system
A system for detecting one or more neurological disorders and to check cognitive compromises in a subject by measuring eye movements and pupil behavior while the subject is reading and applying an intelligent algorithm, wherein the eye tracker monitors eye movements and pupil behavior, the intelligent algorithm learns, identifies, typifies and classifies eye movements features in pathologies and within pathologies, and the processor reports a detection and classification of neurological disorders and cognitive compromises both between and within pathologies.
MS cue-guided spatial saccade working memory evaluation with WM effect and saccadic latency plus pupillary and gaze/fixation measures
A method for evaluating compromises in neurological functions associated with Multiple Sclerosis, including a cue-guided spatial saccade working memory task, measuring a saccade in response to a cue, calculating a WM effect and an average saccadic latency, and reporting a degree of compromise in working memory and a degree of compromise in executive processes, with additional measurements of pupillary dilatation, fixations, and gaze duration to report degrees of compromise of subcortical brain areas, executive processes, and working memory.
The claims define reading-based systems for detecting cognitive compromise measures from eye movements, a reading-based eye-movement and pupil-behavior system using an intelligent algorithm to classify neurological disorders and cognitive compromises between and within pathologies, and an MS-focused cue-guided spatial saccade method that reports compromise using WM effect, saccadic latency, and pupillary and gaze-related measures.
Stated Advantages
Provides detection of a measure of cognitive compromises in specific cognitive domains including working memory, retrieval memory, executive and attentional processes.
Provides detection and classification of one or more neurological disorders and cognitive compromises both between and within pathologies.
Enables reporting degrees of compromise in working memory and executive processes in Multiple Sclerosis.
Enables reporting degrees of compromise in subcortical brain areas, executive processes, and working memory using pupillary dilatation, fixations, and gaze duration.
Documented Applications
Detecting one or more cognitive disorders involving frontal, temporal, and or parietal lobes alterations in a subject by measuring eye movements during reading.
Detecting one or more neurological disorders and classifying cognitive compromises between and within pathologies by measuring eye movements and pupil behavior during reading using an intelligent algorithm.
Evaluating compromises in neurological functions associated with Multiple Sclerosis using a cue-guided spatial saccade working memory task with reporting based on WM effect, saccadic latency, pupillary dilatation, fixations, and gaze duration.
Interested in licensing this patent?