Bracelet for Analysis of Neuromotor Behavior in Individuals with Parkinson's Disease.

• Grant number: 24/02807-3
• Support Opportunities: Regular Research Grants
• Start date: May 01, 2025
• End date: April 30, 2027
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: Clayton Reginaldo Pereira
• Grantee: Clayton Reginaldo Pereira
• Host Institution: Faculdade de Ciências (FC). Universidade Estadual Paulista (UNESP). Campus de Bauru. Bauru , SP, Brazil
• Associated researchers: Fabio Augusto Barbieri ; João Paulo Papa ; Tatiana de Cássia Ramos Netto

Abstract

Parkinson's Disease (PD) is the second most prevalent chronic degenerative pathology of the central nervous system, according to the World Health Organization (WHO). Affecting approximately 4 million people worldwide, PD impacts about 1% of the population over 65 years old. In Brazil, it is estimated that 200,000 individuals live with the disease, which causes functional limitations such as rigidity, bradykinesia, tremors, and postural changes, as well as significant socio-emotional impacts on the quality of life of patients and their families.In this context, the development of an innovative bracelet is proposed, equipped with a microcontroller and a 3-axis gyroscope accelerometer, designed to precisely collect data on tremor levels in individuals with PD. The device aims to monitor and understand tremor patterns using temporal analysis techniques and machine learning, providing a precise, non-invasive, and cost-effective tool to aid in the clinical management of the disease.The device seeks to identify two critical moments in treatment: (i) the reduction of tremors following pharmacological administration, demonstrating the efficacy of the medication, and (ii) the recurrence of tremors, indicating the loss of pharmacological efficacy or disease progression. These data are essential for treatment adjustments, improving the quality of life of patients, and deepening the understanding of the neuromotor behavior of individuals with PD. (AU)