Tongda Shen

Papers

Total Citations

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About

Tongda Shen is a researcher at the forefront of neurorehabilitation engineering, with a primary focus on developing brain–computer interface (BCI) systems for restoring motor function in patients with neurological injuries. His most cited work, "An active and passive upper limb rehabilitation training system based on a hybrid brain–computer interface" (2022), addresses a critical challenge in neurorehabilitation: enabling active patient participation during therapy. By integrating hybrid BCI technology, Shen's system allows patients with craniocerebral injuries to voluntarily engage their neural activity to control rehabilitation devices, thereby promoting neuroplasticity and improving recovery outcomes. This approach bridges the gap between passive robotic therapy and active patient-driven training, representing a significant advance in personalized rehabilitation. With 3 citations to date, his work is gaining recognition among clinicians and engineers seeking to translate BCI innovations into practical therapeutic tools. Shen's contributions are particularly notable for their emphasis on user-centered design, ensuring that rehabilitation systems are both effective and accessible for patients with severe motor impairments. His research continues to shape the future of neurorehabilitation by merging neuroscience, robotics, and human-computer interaction.