Mild Cognitive Impairment Diagnosis via Non-Invasive Gaze Tracking
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Solution Overview
Problem
Current methods for diagnosing mild cognitive impairment, such as those using miR-206 in olfactory tissue or blood biomarkers, are invasive and cause patient discomfort, necessitating a non-invasive and rejection-free diagnostic approach.
Innovation Solution
A method utilizing a device to acquire digital biomarker data by analyzing user gaze information through a series of tasks and preliminary tasks, where gaze data is collected and processed to determine mild cognitive impairment using a pre-learned identification model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If invasive methods such as biopsy or blood collection are used to obtain biomarkers for diagnosing mild cognitive impairment, then diagnostic accuracy is improved, but patient discomfort and rejection feelings increase
Solution Approach 1:
The patent replaces invasive mechanical procedures (biopsy, blood collection) with non-invasive optical measurement (gaze tracking). The system uses a camera to capture eye movement data and processes it through algorithms to extract cognitive impairment indicators, eliminating physical intrusion into the patient's body while maintaining diagnostic capability
Solution Approach 2:
The patent introduces gaze information as an intermediary indicator that indirectly reflects cognitive function. Instead of directly measuring biological markers in tissues or blood, the system uses eye movement patterns during task performance as a mediator to infer cognitive status, thereby avoiding direct contact with sensitive biological materials
2Ease of operation
If non-invasive gaze analysis is used to diagnose mild cognitive impairment, then patient rejection feelings are reduced, but measurement precision may be compromised
Solution Approach 1:
The patent segments the gaze data collection process into multiple components: preliminary task performance, main task performance, and post-task evaluation. Each segment captures specific aspects of cognitive function through different gaze patterns, and the results are integrated to form a comprehensive diagnostic assessment, thereby improving measurement precision through multi-faceted data collection
Solution Approach 2:
The patent implements a preliminary task phase before the main diagnostic task. During this preliminary phase, the system collects baseline gaze information and familiarizes the patient with the testing interface. This preliminary action ensures that subsequent gaze measurements reflect genuine cognitive patterns rather than adaptation effects, thereby enhancing measurement precision
Solution Approach 3:
The system incorporates feedback mechanisms where gaze patterns are continuously monitored and analyzed during task performance. The system provides real-time or near-real-time processing of gaze data, adjusting analysis parameters based on observed patterns. This feedback loop enables dynamic optimization of measurement precision while maintaining patient comfort throughout the testing process
Data Source
AI summary
A method for identifying mild cognitive impairment by at least one processor of an apparatus according to some embodiments of the present disclosure is disclosed. the method comprises performing a task of acquiring digital biomarker data for identifying mild cognitive impairment of a user of a user terminal; performing a preliminary task to allow the user to check the task before performing the task; and acquiring gaze information of the user in conjunction with performing the task and the preliminary task; wherein the gaze information is used when determining displayed information in the preliminary task, and used when identifying mild cognitive impairment of the user in the task.