Background: We built a web-based application of the Archimedes spiral exam that implements clinically validated spiral metrics and tested drawing instructions to define a clinical workflow.
Results: Principal components analysis of calculated metrics revealed that the experiments grouped by instruction set and by subject. Mean Euclidean distance between experiments represented as 11-dimensional vectors revealed that consistency varied among instruction tasks and that drawing with a stylus produced more consistent results than did using the dominant index finger. Using experimental data and simulated abnormal spirals, we designed a decision support system that accurately identifies potentially abnormal spirals.
Conclusions: We built and validated a robust digital implementation of the Archimedes spiral exam and recommend a sensitive and specific workflow on the basis of data gathered from healthy volunteers.
Magee, Rogan; Yang, Benjamin; and Ratliff, Jeff, "Trsper: a web-based application for Archimedes spiral analysis" (2021). Department of Neurology Faculty Papers. Paper 263.
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This article is the authors’ final published version in mHealth. The published version is available at https://doi.org/10.21037/mhealth-21-16. Copyright © Magee et al.
Publication made possible in part by support from the Jefferson Open Access Fund