StrokeHAB
PythonTensorFlowUNet
Classified upper-limb movements using Neural Networks for stroke rehabilitation assessment.
StrokeHAB is an innovative project that leverages deep learning to assist in stroke rehabilitation. The system uses neural networks to classify and analyze upper-limb movements, providing valuable insights for both patients and healthcare providers.
The project utilizes UNet architecture implemented in TensorFlow to achieve high accuracy in movement classification. This helps in tracking patient progress and adjusting rehabilitation programs for optimal recovery outcomes.