Iris Image Recognition for Non-Invasive ACS Risk Prediction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for predicting acute coronary syndrome (ACS) are invasive, costly, and lack accuracy in assessing individual risk, making it difficult to quantify and predict future cardiac events effectively.
Innovation Solution
A non-invasive system using image recognition and computer vision software on electronic devices, such as smartphones, analyzes interpupillary distance, iris diameter changes, and heart rate variability to predict ACS through a neural network trained on healthy and ACS iris images, correlating these factors with cardiovascular health indicators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional invasive methods are used for predicting ACS, then measurement precision may be improved, but device complexity and cost increase substantially
Solution Approach 1:
The patent replaces complex mechanical/invasive diagnostic systems with an optical-based image recognition system using smartphone cameras. The system captures iris images and analyzes pupillary responses to predict ACS risk, substituting sophisticated medical equipment with accessible consumer electronics that use optical imaging and computational algorithms.
Solution Approach 2:
The patent creates a digital copy of the diagnostic process by capturing images of the iris and pupil through a camera. Instead of physical intrusion or complex device interaction, the system creates visual replicas that are then analyzed through image recognition algorithms to extract diagnostic information about cardiovascular health.
2Reliability
If invasive diagnostic methods are employed, then reliability of ACS prediction improves, but ease of operation deteriorates
Solution Approach 1:
The patent enables patients to perform their own diagnostic assessment by simply positioning their eye in front of a smartphone camera. The system automatically captures images, processes them through image recognition algorithms, and provides ACS risk assessment without requiring medical professional intervention or complex patient actions, making the diagnostic process self-service oriented and highly accessible.
Solution Approach 2:
The patent introduces a software-based intermediary layer that mediates between the simple act of image capture and the complex task of ACS prediction. The image recognition software serves as the intermediary that automatically processes visual data, extracts relevant features, and translates them into reliable diagnostic information, bridging the gap between ease of operation and prediction reliability.
3Loss of information
If comprehensive risk assessment is performed, then information completeness improves, but loss of time increases due to complex procedures
Solution Approach 1:
The patent enables continuous monitoring of cardiovascular health by allowing patients to repeatedly capture iris images over time. The system continuously processes images through image recognition algorithms, providing ongoing risk assessment without interruption or significant time loss between measurements, maintaining continuous useful action for health monitoring.
Solution Approach 2:
The patent performs preliminary processing of image data through pre-trained recognition algorithms that automatically extract diagnostic features before final ACS prediction. The system prepares and processes visual information in advance through automated image recognition, so that comprehensive risk assessment is achieved rapidly without time-consuming manual analysis or complex procedural steps.
Data Source
AI summary
A computer system for determining onset of an acute coronary syndrome (ACS) event in a remote computing environment comprising one or more processors, one or more computer-readable memories, and one or more computer-readable storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories is provided. The stored program instructions include capturing, using a camera, a first image at a first time of an iris and a pupil of a first eye of a user; following the capturing of the first image, identifying in the first image a first iris information; capturing, using the camera, a second image at a second time of the iris and the pupil of the first eye of the user; following the capturing of the second image, identifying in the second image a second iris information; determining whether the first iris information is within an allowable range of the second iris information; and providing an indication of a likely ACS event based on a determination of whether the first iris information is within the allowable range of the second iris information.