Eye Movement Recovery Estimation for At-Home Rehabilitation
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Solution Overview
Problem
Existing methods for estimating a patient's recovery level are labor-intensive, require hospital visits, and lack objective quantification, leading to reduced frequency of measurements, decreased patient motivation, and delayed rehabilitation plans, especially for conditions like cerebral infarction.
Innovation Solution
A recovery level estimation device that captures eye movement features using high-speed imaging, extracts relevant data, and compares it to past cases to estimate recovery levels without requiring medical personnel presence, utilizing a camera, processor, and memory to analyze and output results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If medical personnel conduct traditional recovery level assessments through various tests, then measurement accuracy and reliability are improved, but time consumption and labor intensity increase significantly
Solution Approach 1:
The patent replaces the mechanical system of manual medical personnel assessment with an automated eye movement analysis system using cameras and image processing algorithms. The system captures eye movement images, extracts features, and automatically determines recovery levels without requiring medical personnel to conduct physical tests, thereby maintaining measurement accuracy while dramatically reducing time consumption.
Solution Approach 2:
The system enables patients to undergo recovery level assessment independently at home without requiring medical personnel presence. The automated analysis of eye movement characteristics allows the system to perform assessments that traditionally required professional medical evaluation, empowering patients to self-monitor their recovery progress.
2Productivity
If medical personnel accompany patients for frequent recovery measurements, then rehabilitation effectiveness is improved through timely feedback, but labor burden and operational complexity increase
Solution Approach 1:
The system allows patients to perform self-assessment at home using the eye movement analysis device, eliminating the need for medical personnel accompaniment. Patients can frequently measure their recovery levels independently, ensuring timely feedback for rehabilitation effectiveness while reducing operational complexity and labor burden on medical staff.
3Measurement precision
If patients visit hospitals for periodic examinations to detect signs of recurrence, then detection accuracy is improved, but patient burden and accessibility are worsened
Solution Approach 1:
The system enables patients to conduct recurrence detection examinations at home without visiting hospitals. By analyzing eye movement characteristics that indicate signs of cerebral infarction recurrence, the system maintains detection accuracy while dramatically improving patient accessibility and reducing the burden of frequent hospital visits.
4Ease of operation
If video-based walking analysis is used for recovery quantification, then effort required from medical personnel is reduced, but applicability is limited to patients who can walk independently
Solution Approach 1:
The patent changes the measurement parameter from whole-body movement (walking) to eye movement characteristics. This parameter change allows the system to assess patients who cannot walk independently, as eye movements can be captured and analyzed regardless of the patient's mobility status, thereby expanding applicability while maintaining ease of operation.
Data Source
AI summary
In a recovery level estimation device, an image acquisition means acquires images capturing eyes of a target patient for whom a recovery level is estimated. An eye movement feature extraction means extracts an eye movement feature which is a feature of an eye movement of the target patient, based on the images. A past case storage means stores, as past cases, a plurality of cases in which each of patients and information concerning the eye movement feature and the recovery level of the patient are associated with each other. A similar case search means configured to search for each similar case including a similar eye movement feature to the eye movement feature of the target patient among the past cases. A recovery level estimation means estimates the recovery level of the target patient based on information concerning the recovery level of each similar case.