Jianan Chen

Papers

Total Citations

H-Index

About

Jianan Chen is a leading researcher at the intersection of neural engineering and assistive robotics, with a primary focus on developing brain-computer interfaces (BCIs) for motor rehabilitation and mobility restoration. Their most cited work, the 2023 review "fNIRS-EEG BCIs for Motor Rehabilitation," has garnered 51 citations and establishes a foundational framework for integrating functional near-infrared spectroscopy with electroencephalography to enhance neurorehabilitation outcomes. This work critically synthesizes multimodal BCI approaches, demonstrating how hybrid systems can improve signal accuracy and therapeutic efficacy for patients with severe motor impairments. Chen's innovative application of BCI technology extends to assistive mobility, as evidenced by their 2024 study on "High stimuli virtual reality training for a brain controlled robotic wheelchair." This research pioneers the use of immersive VR environments to train users in operating BCI-controlled wheelchairs, offering a novel pathway to independence for individuals with profound motor disabilities. By combining high-fidelity virtual reality with neural control systems, Chen addresses critical challenges in BCI usability and real-world deployment. Their work has significant implications for clinical rehabilitation and assistive technology, bridging the gap between laboratory-based neural interfaces and practical, life-changing applications for patients with motor impairments.