Papers
5
Total Citations
40
H-Index
3
About
Naifu Jiang is a pioneering researcher in rehabilitation robotics and neural interfaces, with a focus on restoring motor and sensory function for individuals with neurological impairments. His work spans upper-limb rehabilitation systems, lumbar exoskeletons, and prosthetic sensory feedback, integrating advanced signal processing and non-invasive stimulation techniques. Jiang’s most cited paper (2021, 23 citations) introduces a spatiotemporal and adaptive filtering method to decode movement intent from EEG signals, enabling active motor training for stroke survivors—a critical step toward personalized, robot-assisted therapy. He also designed a passive upper-limb rehabilitation robot using magnetic powder brakes (2011, 7 citations), addressing inefficiencies in traditional one-on-one therapy for hemiplegic patients. More recently, Jiang developed a loading recognition system for lumbar exoskeletons using multi-channel surface EMG (2024, 6 citations) to reduce injury risk during heavy lifting, and explored transcutaneous electrical nerve stimulation (TENS) for restoring tactile sensation in prosthetic users (2024, 2 citations). His early work on the RRR-I virtual reality rehabilitation robot (2012) further underscores his commitment to accessible, technology-driven recovery. With a career dedicated to bridging robotics, neuroscience, and clinical application, Jiang’s innovations hold promise for transforming rehabilitation outcomes and quality of life for patients worldwide.
Research Focus
Key Achievements
Top Papers
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- 5Research on virtual reality based on RRR-I2 citations · 2012