🌐 Research Focus

We are developing tele-rehabilitation systems that combine BCI, wearable robotics, and cloud-based monitoring to deliver effective neurorehabilitation anytime, anywhere.
Our goal is to create a platform where patients can train at home, while clinicians can remotely monitor and adjust therapy in real-time.

This approach aims to bridge the gap between hospital-based therapy and daily rehabilitation needs, especially for patients with limited mobility or access.

Background

Traditional neurorehabilitation is often limited by:

• The need for frequent hospital visits

• Therapist shortages

• Low accessibility for rural or severely impaired patients

• Dropout due to lack of motivation or feedback in home settings

These challenges were amplified during the COVID-19 pandemic, emphasizing the need for remote, scalable solutions.
Tele-rehabilitation enables:

• Continuous care beyond the hospital

• Data-driven progress monitoring

• Reduced burden on patients, families, and clinicians

Our lab is developing systems that integrate:

• EEG/EMG-based BCI for detecting motor intention

• Wearable robotic gloves for guided movement assistance

• Real-time GUI interfaces for feedback and clinician access

• Secure cloud platforms for remote data logging and adaptive control

Key Research Directions

• Designing home-friendly robotic systems with intuitive donning

• Developing real-time remote BCI control systems

• Creating feedback-rich interfaces to support motivation and compliance

• Evaluating system usability, adherence, and clinical outcomes in real-world scenarios