Identifying Parkinson's Disease through Hand - Drawn Spiral and Wave patterns

The field of biometrics has seen notable advancements in recent years, particularly in its applications within healthcare.A critical area of focus is the identification of biomarkers specific to various health conditions and the development of tools to detect them.In the case of Parkinson's Disease (PD), research has shown a correlation between handwriting impairment and disease severity.Additionally, individuals with PD often exhibit decreased velocity and pressure while performing writing or drawing tasks.Detecting these biomarkers accurately and early in the progression of the disease holds significant promise for improving diagnostic accuracy.To address this need, a system is proposed to analyze spiral and wave drawing patterns in PD patients.By employing a range of Machine Learning Algorithms, this system aims to identify characteristic patterns in these drawings, thereby facilitating the detection of Parkinson's Disease.