Rongfu Xie

Papers

Total Citations

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About

Rongfu Xie is a researcher specializing in biomedical engineering and rehabilitation technology, with a primary focus on gait analysis and assistive devices for children with neurological disorders. His most cited work, "sEMG Based Gait Phase Recognition for Children with Spastic Cerebral Palsy" (2018, 27 citations), represents a significant contribution to the field by developing a surface electromyography (sEMG)-driven method to accurately identify gait phases in children affected by spastic cerebral palsy. This research addresses a critical challenge in pediatric rehabilitation—enabling more responsive and adaptive control of robotic exoskeletons or functional electrical stimulation systems. By leveraging machine learning techniques on sEMG signals, Xie’s work offers a non-invasive, real-time approach to improve mobility and quality of life for young patients. His contributions bridge the gap between signal processing and clinical application, providing a foundation for personalized gait training interventions. With growing interest in human-robot interaction and neurorehabilitation, Xie’s research continues to influence the development of intelligent assistive technologies, making him a notable figure in the advancement of pediatric biomechanics and rehabilitation engineering.