Stroke Rehabilitation

Stroke rehabilitation aims to restore motor function and improve quality of life for stroke survivors, focusing on regaining upper limb movement, balance, and activities of daily living. Current research emphasizes the development and evaluation of robotic exoskeletons, virtual reality therapies, and wearable assistive devices, often incorporating machine learning algorithms like LSTM-Transformers and neural networks for personalized feedback and motion analysis. These advancements aim to improve the effectiveness and efficiency of rehabilitation, offering more targeted interventions and objective assessments of patient progress, ultimately leading to better clinical outcomes.