Enhanced Visual System Characterization System

An advanced system and method for characterizing the visual system of a subject, offering improved accuracy, speed, and efficiency through adaptive visual test protocols, real-time feedback, and noise reduction algorithms.

The original patent described a method and system for characterizing the visual system of a subject using measures of sensitivity to contrast. However, this method had limitations, such as the need for multiple iterations of visual tests, potential external noise interference, and lack of real-time feedback. The new inventive concept addresses these limitations by introducing adaptive visual test protocols, noise reduction algorithms, and real-time feedback, resulting in a more efficient, accurate, and user-friendly system.

The enhanced visual system characterization system comprises a visual test module, a response model generator module, and a feedback module. The visual test module presents a visual pattern with adjustable luminance and spatiotemporal frequency, allowing for the measurement of sensitivity to contrast at multiple levels. The response model generator module uses the measured sensitivity to generate a response model of the visual system. The feedback module provides real-time feedback to the subject during the visual test, enabling adjustments to the test protocol in real-time. Additionally, the system incorporates noise reduction algorithms to minimize the impact of external noise on the characterization process.

The new claims introduce novel features, including adaptive visual test protocols, real-time feedback, and noise reduction algorithms, which significantly improve the accuracy, speed, and efficiency of the visual system characterization process. These features are not obvious from the original patent and provide a non-trivial advancement over the prior art.

Alternative embodiments of the inventive concept could include the use of different visual test protocols, such as Bayesian adaptive methods or machine learning-based approaches. Variations could also include the integration of additional sensors or modalities, such as electroencephalography (EEG) or functional magnetic resonance imaging (fMRI), to provide a more comprehensive understanding of the visual system.

The enhanced visual system characterization system has significant commercial potential in various industries, including ophthalmology, optometry, and neuroscience research. The system's improved accuracy, speed, and efficiency make it an attractive solution for clinicians and researchers seeking to better understand the visual system and develop more effective treatments for visual disorders.