Integrating Triaxial IMU Sensors and Ensemble Learning for Effective Parkinson Disease Severity Classification
A comparative system using artificial intelligence to detect Parkinsons disease by analyzing the motion and tremor data captured by an inertial measurement unit IMU shows that the proposed machine learning approach offers an accurate and effective predictive capability in the classification of PD severity.