Ka Yin Tang

About

Dr. Ka Yin Tang is a leading researcher in neurorehabilitation, specializing in brain-computer interfaces (BCIs) and robotic systems for stroke recovery. Her work focuses on integrating EEG-based motor imagery with robotic devices to restore hand and wrist function in chronic stroke patients. In her landmark 2014 randomized controlled trial (353 citations), she demonstrated that a BCI-coupled robotic end effector significantly improves rehabilitation outcomes compared to conventional therapy. She further advanced this field with a 2020 feasibility study (153 citations) on a BCI-driven soft robotic glove, incorporating activities of daily living tasks to enhance real-world applicability. Tang also pioneered methods to improve BCI calibration by using passive movement data (2013), addressing a critical barrier in motor imagery performance. Her contributions have been instrumental in translating BCI technology from laboratory settings to clinical practice, offering new hope for patients with severe motor impairments. With over 500 combined citations across her key works, Tang’s research continues to shape the future of neurorehabilitation robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Brain-computer interface-based robotic end effector system for wrist and hand rehabilitation: results of a three-armed randomized controlled trial for chronic stroke

   353 citations · 2014
2. 2
   Brain-Computer Interface-Based Soft Robotic Glove Rehabilitation for Stroke

   153 citations · 2020
3. 3
   A clinical study of motor imagery BCI performance in stroke by including calibration data from passive movement

   11 citations · 2013

Key Collaborators

Contact & Links