Abstract: Parkinson's disease (PD) is a progressive neurological disorder that significantly impairs motor functions due to the gradual degeneration of the central nervous system. Early detection is crucial to manage and potentially slow down the progression of PD. This study proposes a novel detection system that leverages spiral drawings and Convolutional Neural Networks (CNNs) to improve the accuracy and efficiency of PD diagnosis. Developed using Python and Flask, this system aims to offer a more precise and effective alternative to existing diagnostic methods, potentially enabling earlier intervention and better patient outcomes.
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DOI:
10.17148/IJARCCE.2024.13828
