LED Helmet Camera System for Vestibular Diagnosis
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Solution Overview
Problem
Traditional Craniocorpography tests face limitations such as distortion with convex mirrors, manual calculations, lengthy reporting times, and high costs, particularly in ultrasound-based methods, which hinder efficient and accurate measurement of vestibulospinal system function.
Innovation Solution
A diagnostic apparatus featuring a helmet with light-emitting diodes and a camera system that captures patient movement images, processed by a computing device to determine alignment parameters like longitudinal displacement, sway, and body axis spin, providing quick and cost-effective results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional convex mirrors are used to capture patient movement images, then the test can be conducted, but the images become distorted and manual calculations are required
Solution Approach 1:
The patent replaces the mechanical/optical system of convex mirrors with an electronic imaging system consisting of multiple cameras positioned at specific angles. This substitution eliminates image distortion and enables direct digital capture of patient movement parameters, removing the need for manual calculations and显著提高 measurement precision.
2Measurement precision
If ultrasound-based Craniocorpography methods are used, then measurement capability is improved, but the cost increases significantly
Solution Approach 1:
The patent employs standard digital cameras and LED light sources instead of expensive ultrasound equipment. These components are commercially available, cost-effective, and can be easily replaced or upgraded. The system achieves accurate measurement of vestibulospinal function through affordable hardware combined with sophisticated image processing algorithms.
3Productivity
If manual calculations are performed on captured images, then the test can be completed, but the reporting time becomes lengthy
Solution Approach 1:
The system automatically captures images from multiple camera angles, processes the images through algorithms that calculate movement parameters, and generates diagnostic reports without requiring manual intervention. The computer system performs all calculations and analysis autonomously, dramatically reducing reporting time and enabling rapid diagnosis of balance disorders.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate, rapid, and cost-effective measurement of vestibulospinal system function, reducing manual interference and allowing for quick reporting, while being adaptable to various environments and patient structures.
Implementation Method 1
The helmet includes a plurality of light emitting diodes
Data Source
AI summary
Disclosed is an apparatus for diagnosing vertigo and balance related ailment using Craniocorpography (CCG) technique. The apparatus includes a helmet adapted to be worn over a head of a patient. The helmet includes a plurality of light emitting diodes (LEDs). Further, the apparatus includes a camera placed directionally above at a vertical distance from the helmet while the helmet is being worn over the head of the patient. The camera is adapted to track movement of the patient when the CCG is performed on the patient. Furthermore, the apparatus includes an interface card adapted to connect the camera. The interface card is adapted to relay images captured by the camera. A computing system in communication with the interface card is also provided. The computing system is adapted to analyze and present at least a plurality of patient alignment parameters based on the images captured by the camera.