Binocular Pupillometry Analysis for Neurological Symptom Detection
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Solution Overview
Problem
Current methods struggle to accurately and non-invasively detect neurological manifestations associated with long-COVID and psychoactive substance abuse, which can be subtle and difficult to diagnose.
Innovation Solution
A system and method utilizing binocular pupillometry analysis, where visual stimuli are provided to subjects using a VR head-mount display, and pupillary light reflex data is recorded and analyzed to determine neurological status and symptoms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional diagnostic methods are used to detect neurological manifestations, then the diagnostic process becomes invasive or complex, but the detection accuracy and ease of use deteriorate
Solution Approach 1:
The patent replaces complex mechanical and procedural diagnostic systems with an optical measurement system. Specifically, it uses pupillometry (measurement of pupil response) combined with virtual reality visual stimuli to detect neurological manifestations. This substitution transforms a potentially invasive or complex diagnostic process into a non-invasive optical measurement that captures pupillary light reflex data, thereby improving detection accuracy while reducing diagnostic complexity.
Solution Approach 2:
The patent introduces pupillary light reflex data as an intermediary marker for detecting neurological manifestations. Instead of directly measuring complex neurological functions, the system uses the pupil's response to visual stimuli as an intermediate indicator that reflects underlying neurological status. This intermediary approach simplifies the diagnostic process while maintaining detection accuracy, as the pupillary response serves as a reliable proxy for neurological function.
2Measurement precision
If invasive diagnostic procedures are employed to improve detection accuracy, then measurement precision improves, but ease of operation and subject comfort deteriorate
Solution Approach 1:
The patent replaces invasive mechanical or procedural diagnostic methods with a non-invasive optical measurement system. By using pupillometry to capture pupillary light reflex data in response to virtual reality visual stimuli, the system achieves accurate detection of neurological manifestations without requiring invasive procedures. This substitution maintains measurement precision while dramatically improving ease of operation and subject comfort.
Solution Approach 2:
The patent employs a self-observing physiological parameter (pupillary response) that naturally occurs in response to visual stimuli without requiring active participation or discomfort from the subject. The subject simply views virtual reality images while the system automatically captures and analyzes pupillary light reflex data, making the diagnostic process easy to operate and comfortable for the subject while maintaining high detection accuracy.
3Measurement precision
If multiple parameters are analyzed from binocular response to improve diagnostic accuracy, then measurement precision improves, but data processing complexity increases
Solution Approach 1:
The patent extracts and focuses on specific key parameters from the binocular pupillary light reflex data that are most indicative of neurological manifestations. Rather than attempting to process all possible parameters from binocular responses, the system identifies and analyzes the most relevant features (such as pupil diameter changes, constriction velocity, and latency) to detect neurological status. This selective extraction approach improves detection accuracy while managing data processing complexity by focusing on the most informative parameters.
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 and non-invasive detection of neurological symptoms associated with long-COVID and psychoactive substance abuse, providing a valuable tool for healthcare professionals and law enforcement agencies.
Implementation Method 1
recording a binocular response performed by the subject in response to the visual stimulus being received; analyzing a plurality of parameters extracted from the recorded binocular response to determine the neurological status and/or neurological activity
Data Source
AI summary
A system and a method for determining a health condition of a subject. The system comprises: a display module arranged to provide visual stimulus to the subject; an image capturing module arranged to record a binocular response performed by the subject in response to the visual stimulus being received; and a processor module arranged to analyze a plurality of parameters extracted from the recorded binocular response to determine the neurological status and/or neurological activity of the subject, thereby determining one or more symptoms associated with the health condition of the subject.