"Wearable Sensor-Based Analysis of Aerial Archimedean Spirals for Early Detection of Parkinson's Disease"

"The data were collected using an MPU6050 sensor, which integrates a triaxial accelerometer and a triaxial gyroscope to capture motion information in three-dimensional space. The dataset focuses on kinematic characteristics of human hand movements, aiming to compare motor performance between Parkinson's disease patients and healthy individuals. "