Intelligent Analysis of Archimedean Spirals for Parkinson’s Disease Indicator Identification

• Thiago Vítor Gomes Pereira UFAM
• Hygo Sousa de Oliveira UFAM
• Eulanda Miranda dos Santos UFAM
• Lígia Reis Nóbrega UFU
• Adriano de Oliveira Andrade UFU
• Rafael Giusti UFAM

DOI: https://doi.org/10.5753/sbcas.2025.7566

Abstract

Parkinson’s disease is a neurological condition that impairs movement, often associated with reduced dopamine levels in the brain. The Archimedean spiral drawing, a sophisticated motor task requiring coordination, provides an accurate assessment of motor function. This research presents an innovative methodology that preprocesses images by dividing them into segments, stacking them, and summing the pixels of each to generate another image. With promising results, achieving 95.4% accuracy and an F1-Score of 97%, this approach could be a valuable tool to support specialists in diagnosing the disease.

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