Adaptive Movement Analysis And Enhanced Self-Monitoring Hypercube For Parkinson’s Disease

Parkinson’s Disease (PD) is a chronic neurodegenerative disorder characterized by motor impairments, including tremors, rigidity, bradykinesia, and postural instability, which progressively diminish patients’ ability to perform daily activities independently. Current rehabilitation practices, primarily focused on physical therapy, medication, and traditional support devices, provide essential symptom management but often lack customization to individual patient needs, leading to inconsistent adherence and limited long-term benefits. This paper introduces the Adaptive Movement Analysis and Enhanced Self-Monitoring Hypercube, a novel rehabilitation framework aimed at improving PD management through a comprehensive, adaptive approach.The system leverages cutting-edge sensors, including the MPU6050 Inertial Measurement Unit (IMU) and infrared proximity sensors, integrated with a Teensy microcontroller to deliver real-time movement analysis and tailored exercise feedback. Through Bluetooth-enabled connectivity, patient data is transmitted to a digital platform where it can be analyzed and adjusted based on performance metrics. Additionally, gamification techniques, task-specific training modules, and customizable feedback mechanisms are embedded to increase patient engagement and adherence to exercise routines. This adaptive solution provides a structured, motivating environment that addresses the fluctuating capabilities of PD patients, promoting functional recovery and enhanced self-monitoring.