BPPV Diagnostic System Using Patient Feedback for Nystagmus-Less Cases
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Solution Overview
Problem
Current diagnostic methods for Benign Paroxysmal Positional Vertigo (BPPV) rely heavily on observable nystagmus signals, which can be weak or absent, leading to high misdiagnosis rates, especially in cases where nystagmus is not visible or discernible, complicating the identification of affected semicircular canals and subsequent treatment.
Innovation Solution
A system utilizing voluntary patient feedback, such as button presses or voice signals, to indicate the onset and duration of dizziness during specific head positions, allowing for diagnosis without relying on nystagmus observations, and guiding the selection of appropriate treatment maneuvers for single or multi-canal BPPV cases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If diagnostic methods rely on observable nystagmus signals, then the diagnostic process can be simplified, but misdiagnosis rates increase when nystagmus is weak or absent
Solution Approach 1:
The patent introduces a video goggles system as an intermediary device that captures eye movement data and translates it into digital signals for analysis. This intermediary technology enables objective measurement of nystagmus patterns without relying solely on manual observation, improving both diagnostic reliability and accuracy while maintaining ease of operation through automated data processing
Solution Approach 2:
The patent replaces manual mechanical observation of nystagmus with an electronic video-based detection system. The video goggles capture eye movements and convert them into digital data that can be analyzed algorithmically, substituting the mechanical/visual inspection process with an automated electronic system that provides more reliable and consistent diagnostic results
2Reliability
If multiple diagnostic tests are performed to identify affected canals, then diagnosis accuracy improves, but examination time increases
Solution Approach 1:
The patent implements a feedback mechanism where the video goggles continuously monitor eye movements during head position changes and provide real-time data to the diagnostic system. This feedback loop enables the system to automatically identify affected canals based on nystagmus patterns, reducing the time needed to perform multiple manual tests while maintaining high diagnostic accuracy through automated pattern recognition
3Reliability
If treatment maneuvers are selected based on canal identification, then treatment effectiveness improves, but complexity of treatment selection increases
Solution Approach 1:
The patent enables the diagnostic system to self-determine the affected canals through automated video analysis of nystagmus patterns. The system independently processes video data, identifies canal involvement, and recommends appropriate treatment maneuvers without requiring complex manual analysis, thereby simplifying the treatment selection process while maintaining high effectiveness through accurate canal identification
Data Source
AI summary
Invention is a system that diagnoses the source of the problem in BPPV-induced vertigo patients by applying diagnostic maneuvers within the framework of a dynamic algorithm and getting feedback of voluntary non-physiologic signals from the patient. The system is developed specifically for BPPV patients exhibiting small amplitude nystagmus eye movements or patients exhibiting no nystagmus whatsoever. The system diagnoses BPPV cases by testing different diagnostic positions while getting voluntary feedback signals from the patient. Depending on the feedback received from the patient, the algorithm changes its algorithmic steps and guides the decision process toward a diagnosis. The system is intended to be used with repositioning chairs, as well as manual treatment methods on a stretcher.