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

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IEEE2026-04-17 收录
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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. 

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Hao Shi
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