Vestibular Rehabilitation System Using Dynamic Visual Acuity Feedback
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Solution Overview
Problem
Current treatments for vestibular disorders, such as vertigo, are inadequate due to difficulties in diagnosis and ineffective rehabilitation methods, particularly for conditions like migraine-associated vertigo (MAV) and peripheral vestibular hypofunction, which often result in poor patient outcomes and increased healthcare costs.
Innovation Solution
A system and method that utilize visual images and relative movement between a graphic and the user's head to assess and modify perception, incorporating a display module, movement module, and perception module to adjust graphic display parameters and movement parameters based on user feedback, allowing for personalized treatment and rehabilitation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current vestibular tests and diagnostic methods are used, then diagnosis can be performed, but diagnostic accuracy is low and many cases are misdiagnosed
Solution Approach 1:
The system implements feedback by measuring dynamic visual acuity during head movements and using this information to adjust and personalize treatment protocols. The feedback loop allows continuous monitoring of vestibular function and adaptation of rehabilitation exercises based on patient response, thereby improving diagnostic accuracy and treatment effectiveness.
Solution Approach 2:
The patent replaces traditional mechanical vestibular testing methods with a visual-based assessment system that uses dynamic visual acuity measurements during controlled head movements. This substitution enables more precise quantification of vestibular function through optical and visual processing rather than relying on subjective patient reports or less accurate mechanical tests.
2Reliability
If traditional rehabilitation methods are used, then treatment can be provided, but treatment effectiveness is poor and patient outcomes are inadequate
Solution Approach 1:
The rehabilitation system is dynamic and adaptive, automatically adjusting exercise parameters such as head movement velocity, duration, and visual stimulus characteristics based on real-time patient performance. This dynamic approach ensures that treatment remains challenging but achievable, optimizing neuroplasticity and vestibular compensation while preventing symptom exacerbation.
Solution Approach 2:
The system systematically varies key parameters including head movement speed, visual target position, exposure duration, and task complexity to create progressive rehabilitation protocols. By changing these parameters based on patient response, the system optimizes treatment effectiveness and accelerates recovery while maintaining patient safety.
3Productivity
If standardized treatment protocols are used, then treatment can be delivered efficiently, but treatment cannot be personalized to individual patient needs
Solution Approach 1:
The system performs self-adjustment by automatically analyzing patient performance data and modifying treatment parameters without requiring constant clinician intervention. This self-service capability maintains treatment efficiency while achieving personalization, as the system adapts to each patient's unique response patterns and progress trajectory autonomously.
Solution Approach 2:
Personalization is achieved through continuous feedback from dynamic visual acuity measurements during head movements. The system uses this feedback to automatically tailor exercise intensity, duration, and type to each patient's specific vestibular deficits and recovery rate, delivering personalized treatment at scale without sacrificing efficiency.
4Reliability
If visual motion stimuli are used for rehabilitation, then vestibular function can be improved, but patient tolerance to visual motion may be exceeded causing discomfort
Solution Approach 1:
The system applies partial action by delivering visual motion stimuli at intensities and durations optimized for therapeutic benefit without exceeding patient tolerance thresholds. By carefully controlling the degree of visual motion exposure and adjusting based on real-time patient response, the system achieves vestibular rehabilitation goals while minimizing discomfort and preventing symptom exacerbation.
Data Source
AI summary
Methods and systems for assessing and treating vestibular disorders can include displaying a graphic and providing relative movement between the graphic and a user's head. Information can be obtained either directly or indirectly from the user regarding her perception of the graphic. A graphic display parameter and/or a relative movement parameter can be modified in response to the information regarding the user's perception. An indicator of the user's ability to perceive the graphic can be generated through a series of iterations. A graphic display parameter and/or a relative movement parameter for use in a subsequent series of iterations can be modified based at least in part on the indicator.


