Revoice--Language rehabilitation therapy based on electroenc

Design Brief
Background
Patients undergoing oral surgeries—such as tongue cancer resection or cleft palate repair—often face challenges in speech recovery, social interaction, and psychological adjustment. Traditional rehabilitation relies on hospital-based follow-ups and verbal instructions, which are often inefficient. Many patients feel embarrassed or anxious, making it difficult to express their needs openly.
Brain–Computer Interface (BCI) technology introduces new possibilities for rehabilitation. By detecting brainwave signals, it can capture a patient’s attention and speech intent directly, enabling more precise and personalized training.
Design Objective
This project integrates a flexible oral rehabilitation patch with BCI technology to achieve intelligent, data-driven, and self-directed post-surgical language recovery. The system is designed to:
• Monitor tongue and oral motion data
• Capture the patient’s speech intent and attention state
• Provide personalized training programs and real-time feedback
• Enable doctors to remotely track and guide rehabilitation progress
Project Vision
To develop an intelligent rehabilitation system that accompanies patients throughout the entire recovery process—combining oral motion sensing with brain–computer interface feedback—to enable data-driven personalization, everyday training, and improved social communication, allowing technology to truly merge with patients’ daily lives