Papers
9
Total Citations
175
H-Index
6
About
Guanghua Xu is a prominent biomedical engineer and neuroscientist whose research sits at the intersection of neural signal processing, rehabilitation robotics, and human-computer interaction. His work spans brain-computer interfaces (BCIs), electromyography (EMG)-based control systems, and intelligent prosthetics, with a particular focus on restoring motor function in individuals with neurological impairments. Among his most impactful contributions, Xu has advanced BCI-driven stroke rehabilitation, demonstrating in a randomized controlled trial that BCI-controlled robot training significantly improves outcomes in subacute stroke patients (44 citations). Equally influential is his attention-controlled wrist rehabilitation system using affordable EEG sensors, encouraging active patient engagement during therapy (44 citations). His CNN-LSTM framework for classifying six ankle movements via sEMG signals (25 citations) pushed boundaries in bilateral limb rehabilitation decoding, while his investigations into hand gesture recognition and muscle synergy-based control have strengthened the reliability of myoelectric prostheses in real-world conditions. More recently, Xu has expanded into affective neuroscience, exploring how music tempo modulates emotional states through EEG analysis (28 citations). Collectively, his portfolio reflects a sustained commitment to bridging neuroscience and engineering to deliver clinically meaningful, human-centered rehabilitation technologies.
Research Focus
Key Achievements
Top Papers
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- 3Music tempo modulates emotional states as revealed through EEG insights28 citations · 2025
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