Development of an Automated Motor-Based Biomarker for Preclinical Alzheimer’s Disease
Biomedical Engineering
Jake McColm
Abstract
This project presents a low-cost system designed to measure task time and motor behavior using an interactive, sensor-based task. The system captures precise timing data during user interactions to assess motor–cognitive performance in a controlled yet accessible format.
While not diagnostic, it demonstrates the potential for scalable behavioral tools to contribute to early screening of conditions such as Alzheimer’s disease.