A technology company pioneering eye-tracking technology wanted to explore the potential of this tool for early detection of neurodegenerative diseases, such as mild cognitive impairment (MCI) and Alzheimer’s disease (AD). The challenge was to transform raw eye movement data into useful, testable and clinically meaningful information.
We developed a complete solution for processing, analysis and interpretation of eye data, based on the integration of:
- Raw eye movement data (eye-tracking) with validated clinical tests for MCI and AD.
- Extraction of ocular biomarkers (blinks, fixations, saccades) relevant for prediction.
- Development of an interactive desktop application that allows experts to visualize and compare ocular and behavioral patterns between patients, facilitating clinical analysis of the results.
This approach made it possible to establish a diagnostic support system capable of detecting early alterations based on ocular behavior.
We converted eye-tracking data into ocular biomarkers with clinical value, developing a tool that supports early diagnosis of neurodegenerative diseases such as Alzheimer's disease.
- Transformation of raw eye-tracking data into structured information.
- Identification of ocular biomarkers with diagnostic value.
- Development of a visual and comparative analysis tool.
- Integration of scientific data with emerging technologies.
- Potential to revolutionize early diagnosis of neurodegenerative diseases.
