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Total Citations
38
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About
Xu Ma is a researcher specializing in rehabilitation robotics, biomedical signal processing, and human-machine interface systems, with a particular focus on improving assistive technologies for individuals with motor impairments. His most notable work centers on the development and optimization of surface electromyography (sEMG) signal processing techniques applied to limb exoskeleton rehabilitation systems — a cutting-edge intersection of medical robotics, biomechanics, and computer science. Ma's 2018 paper, "Real-Time Evaluation of the Signal Processing of sEMG Used in Limb Exoskeleton Rehabilitation System," has garnered 38 citations, reflecting meaningful recognition within the rehabilitation engineering community. This work draws on motion relearning principles alongside human anatomy, mechanics, and robotics to advance rehabilitation training for hemiplegic upper limb patients — a population with significant unmet clinical needs. His research contributes to the broader mission of making intelligent rehabilitation robots more responsive and effective by improving how biological signals are captured and interpreted in real time. For students and researchers entering fields like neuroprosthetics, assistive robotics, or clinical rehabilitation technology, Ma's work offers valuable foundational insights into bridging human physiology with intelligent mechanical systems.
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