A study aimed at enhancing the precision and practicality of EMG-based robotic prostheses control by analyzing the relationship between fingertip forces and forearm EMG signals using machine learning techniques.

Developing intelligent mobile applications designed to support healthcare providers in diverse aspects of their practice, offering features such as member management, progress documentation, test and assessment results recording, visualization of progress and outcomes, tailored service programs through big data analysis, and synchronization with third-party devices and sensors.

Muscle synergy.