Papers
1
Total Citations
15
H-Index
1
About
Xiaoyi Mo is pioneering the intersection of neural signal processing and rehabilitation robotics, with a focused expertise in electromyography (EMG)-driven wearable systems. Their landmark 2023 study, “A Wearable Master–Slave Rehabilitation Robot Based on an Epidermal Array Electrode Sleeve and Multichannel Electromyography Network,” has already garnered 15 citations, signaling its foundational impact. Mo’s core contribution lies in developing a master–slave robotic framework that leverages a high-density epidermal electrode array to capture multichannel EMG signals, enabling real-time, intuitive control of rehabilitation exoskeletons. By applying network analysis to muscle unit interactions, Mo reveals how information flows across motor units during movement—a breakthrough that deepens our understanding of neural control mechanisms. This work directly addresses the critical challenge of creating responsive, patient-specific assistive devices for stroke and spinal cord injury recovery. Mo’s research not only advances the technical frontier of human–machine interfaces but also bridges the gap between fundamental neuroscience and clinical rehabilitation. Their innovative approach to decoding muscle synergy patterns promises to transform how we design adaptive, intelligent prosthetics and therapeutic robots.
Research Focus
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Top Papers
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