Developed Eye-Tracking Analysis Platform.

Objective: To create a comprehensive digital platform for eye-tracking analysis and data visualization, enabling healthcare professionals to monitor and diagnose neurological disorders through advanced eye movement tests.

Scope:

• Development of individual test visualizations.
• Creation of a comparison dashboard with general population data.
• Implementation of historical tracking for individual test results.
• Report generation for eye-tracking test summaries.

The client needed a robust platform to objectively measure and monitor eye-tracking data, overcoming the limitations of current methods and addressing the overloaded healthcare system. Ensuring user-friendly interfaces and accurate data representation were critical requirements.

Design: 

• Developed the visual design, user flow, and overall aesthetic of the dashboard using MATLAB and React.
• Ensured a clean, modern interface that enhances usability and user engagement.
• Emphasized creating an intuitive, user-friendly interface that seamlessly aligns with IFAG Labs' branding.

Custom Features:

• Individual Test Visualization:
  • Developed a dashboard module to display individual eye-tracking test results, similar to the provided sample plots.
• General Population Comparison:
  • Enabled users to compare their results with average data from a sample population, providing benchmarks for performance.
• Historical Tracking:
  • Implemented a feature to review and compare current test results with past tests, tracking changes over time.
• Report Generation:
  • Created a system to generate informative, user-friendly reports summarizing test results, with the capability to expand reporting features as more data becomes available.

Integration:

• Integrated the platform with local data storage for test results and historical data.
• Provided user authentication through user ID assignment for tracking and security.

Optimization:

• Ensured performance optimization for smooth data visualization and quick access to historical data.

Performance:

• Enabled accurate and efficient eye-tracking data visualization.
• Facilitated easy comparison with general population data and historical tracking.

Impact: The new platform significantly enhanced IFAG Labs' capability to conduct comprehensive eye-tracking tests, providing valuable insights for diagnosing and monitoring neurological disorders. This advancement supports their mission to offer cutting-edge healthcare solutions and improves overall patient care.