Papers
1
Total Citations
15
H-Index
1
About
Dezhong Yao is a leading researcher in rehabilitation robotics and neural engineering, with a focus on decoding human movement through advanced electromyography (EMG) and wearable technologies. His major contributions center on developing intelligent, human–machine interfaces that bridge the gap between neural signals and robotic assistance. In his highly cited 2023 work, Yao introduced a wearable master–slave rehabilitation robot featuring an epidermal array electrode sleeve integrated with a multichannel EMG network. This system enables precise, real-time measurement of muscle unit interactions, revealing how information flows across muscle groups during movement. By applying network analysis to EMG data, Yao’s research provides critical insights into the neural mechanisms underlying motor control, directly informing the design of more responsive and adaptive rehabilitative devices. His work has garnered significant attention, with this flagship paper accumulating 15 citations shortly after publication, underscoring its impact on both clinical rehabilitation and fundamental movement science. Yao’s innovative approach—combining soft, skin-conformal electronics with sophisticated signal processing—positions him at the forefront of next-generation assistive robotics, offering new hope for patients with motor impairments.
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Top Papers
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