Multi-Scale Adaptive Temporal Network for Parkinson’s Motor Symptom Fluctuation Detection Using Coarsened 2D Skeleton Pose Data.
Revolutionary deep learning framework achieves 99.63% accuracy in monitoring Parkinson's motor symptoms using 2D skeleton pose data! 🤖📊
