Diagnostic Eye Goggle System with Optical Data Cross-Correlation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current non-invasive diagnostic techniques provide limited information about overall health, primarily focusing on specific disease states, and fail to detect non-tested diseases or disease severity, lacking the ability to track biological and physical changes in the eye for disease identification.
Innovation Solution
A diagnostic eye goggle system that uses optical measurements from a user's eye, emitting and detecting electromagnetic radiation, and cross-correlating the data with a master database to identify disease states, including aberrations for corrective lensing, and tracking changes over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current non-invasive diagnostic techniques are used, then specific disease states can be detected, but comprehensive health information and overall disease monitoring capability are limited
Solution Approach 1:
The diagnostic eye goggle system integrates multiple diagnostic functions into a single device, combining wavefront sensing for refractive error detection, optical coherence tomography for retinal imaging, and spectral analysis for systemic disease detection. This multi-functional approach allows the system to provide comprehensive health information including eye health, cardiovascular status, neurological conditions, and metabolic disorders, thereby resolving the contradiction between specific disease detection precision and overall health monitoring versatility
2Measurement precision
If single-analyte detection devices are used, then specific analyte monitoring is achieved, but information about multiple diseases and disease severity is lost
Solution Approach 1:
The system merges multiple diagnostic modalities into a unified platform that simultaneously captures wavefront aberration data, retinal structural information, and spectral characteristics. By combining these diverse data streams and integrating them with historical data from a master database, the system recovers comprehensive health information that would be lost in single-analyte detection, enabling detection of multiple disease states and their severity levels
3Measurement precision
If benchtop diagnostic devices are used, then detailed analysis of specific parameters is possible, but device portability and ease of operation are reduced
Solution Approach 1:
The patent replaces bulky mechanical benchtop diagnostic systems with a compact wearable goggle platform. By substituting mechanical components with integrated optical circuits, miniaturized sensors, and solid-state detectors, the system maintains detailed diagnostic analysis capability while achieving portability and ease of operation. The goggle form factor allows users to perform comprehensive eye and systemic health assessments in everyday settings without requiring laboratory environments
4Reliability
If historical data comparison is implemented, then disease progression tracking is improved, but data processing complexity and time requirements increase
Solution Approach 1:
The system performs preliminary organization and categorization of historical data from the master database before comparison, pre-processing information by disease type, severity level, and demographic factors. This preliminary action enables rapid retrieval and matching of relevant historical cases during the diagnostic process, significantly reducing data processing time while maintaining accurate disease progression tracking through systematic comparison with pre-organized historical patterns
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 comprehensive disease state identification and lens-correcting suggestions by generating mathematical maps of the eye, comparing them with historical data to diagnose diseases and monitor progression or regression, providing a holistic view of a user's health.
Implementation Method 1
One or more radiation sensors disposed to detect at least one of refraction, reflection, interference, frequency-shift, intensity, wavefront, or a spectrum of reflected radiation reflected from one or more structures in the user's eye
Implementation Method 2
One or more radiation sensors disposed to detect at least one of refraction, reflection, interference, frequency-shift, intensity, wavefront, or a spectrum of reflected radiation reflected from one or more structures in the user's eye
Implementation Method 3
One or more radiation sensors disposed to detect at least one of refraction, reflection, interference, frequency-shift, intensity, wavefront, or a spectrum of reflected radiation reflected from one or more structures in the user's eye
Implementation Method 4
One or more radiation sensors disposed to detect at least one of refraction, reflection, interference, frequency-shift, intensity, wavefront, or a spectrum of reflected radiation reflected from one or more structures in the user's eye
Data Source
AI summary
A diagnostic eye goggle system is described herein. The diagnostic eye goggle system includes goggles having a radiation source, a radiation sensor, optical elements, and a microcontroller for acquiring optical data from a user's eye including, but not limited to, wavefront data, spectral data, and frequency-shifted wavelength data. An external master database stores historical user data from previous users of the diagnostic eye goggle system. A transceiver disposed in the goggles provides a datalink between the acquired optical data and the external master database. A diagnostic software module cross-correlates the acquired optical data with the historical data to provide a diagnosis of a disease state of the user. The goggles further provide lens-correcting instructions or suggestions to a user or health care provider based on the acquired wavefront data.