Smartphone Pupillometry for Brain Trauma Detection
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Solution Overview
Problem
Current methods for detecting brain trauma are often subjective, unreliable, and require expensive equipment or medical expertise, leading to delayed recognition and increased trauma severity, especially in settings without access to medical professionals.
Innovation Solution
A pupillometry device using a smartphone with a digital camera, light element, and computer processor to track pupil responses to a light stimulus, determining risk levels by comparing measured pupil changes to baseline rates, facilitating early detection of brain trauma in various settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If expensive or complex equipment is used for brain trauma detection, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent uses a digital camera to capture optical images of the pupil, creating a digital copy of the physiological response. This allows quantitative analysis of pupillary changes without requiring complex medical imaging equipment. The camera records the pupil's optical response to light stimulus, and software analyzes the images to measure pupil size changes and calculate rates of change, achieving accurate detection using a simple, widely available device.
Solution Approach 2:
The patent replaces complex mechanical or electronic medical equipment with an optical system using a digital camera and light source. Instead of using sophisticated sensors or imaging devices, the invention uses standard camera technology to detect pupillary responses. The light element illuminates the pupil, and the camera captures the optical response, substituting complex detection mechanisms with simple optical principles.
2Measurement precision
If medical professionals are required for brain trauma detection, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The patent enables non-medical users to perform brain trauma detection themselves or on others without requiring professional training. The device includes automated software that guides the user through the process: positioning the camera, delivering light stimulus, capturing images, and analyzing results. The system automatically calculates pupillary response metrics and compares them to baseline values, providing interpretation without needing medical expertise. This makes the detection process accessible to consumers, athletes, and first responders.
Solution Approach 2:
The patent introduces software as an intermediary between the user and the complex analysis required for accurate diagnosis. The software acts as a mediator that automatically processes the optical images, measures pupil size changes, calculates rates of change, and compares results to established baselines. This intermediary layer handles the complexity of data analysis, allowing users with no medical training to obtain reliable results.
3Ease of operation
If qualitative tests are used for brain trauma detection, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The patent transforms the qualitative assessment of pupillary response into quantitative measurements by analyzing specific parameters: pupil size in pixels, rate of change of pupil size, and comparison to baseline values. Instead of relying on subjective visual inspection, the system measures the actual numerical changes in pupil diameter over time following light stimulus. This quantitative approach maintains operational simplicity while dramatically improving measurement precision and objectivity.
Solution Approach 2:
The patent replaces subjective human judgment with automated image analysis software. Instead of a medical professional visually assessing pupillary response, the system uses computer algorithms to measure pupil size changes from captured images. This substitution eliminates human bias and subjectivity while maintaining ease of operation, as the software automatically performs the analysis without requiring user interpretation.
4Loss of time
If rapid detection is implemented, then loss of time is reduced, but measurement precision may deteriorate
Solution Approach 1:
The patent captures multiple images of the pupil at different time points following light stimulus, including baseline images before stimulation and subsequent images during the pupillary response. By capturing this temporal sequence in advance, the system has sufficient data to calculate accurate rates of change and compare against baselines. The rapid detection is achieved because all necessary measurements are captured in a single brief testing sequence, eliminating the need for prolonged observation periods.
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 rapid, accurate, and accessible detection of brain trauma risk using a portable device, reducing the impact of delayed recognition and improving timely medical response.
Implementation Method 1
a light element, a user interface, a computer processor
Implementation Method 2
a digital camera... captures a series of images of the patient's pupil
Data Source
AI summary
Systems, devices, and methods are disclosed which may be used to detect and determine the extent of brain trauma, mental impairment, physical disability, or other brain dysfunction by tracking one or more ocular responses.