Papers
4
Total Citations
100
H-Index
4
About
Dr. Dezhi Kong is a leading researcher in rehabilitation robotics, with a focus on upper and lower limb exoskeleton systems. His work addresses critical challenges in human-robot interaction, particularly in developing intelligent control methods that adapt to patient physiology. Dr. Kong pioneered a novel fatigue detection method for upper limb exoskeletons using multi-information fusion, enabling real-time adjustment of rehabilitation intensity to prevent overtraining. He also advanced mixed perception models that more accurately capture patient motion states, improving training safety and efficacy. His bibliometric analysis of global rehabilitation robot trends (41 citations) has become a foundational reference for the field, mapping research hotspots from 2010-2020. Dr. Kong’s studies on lower limb exoskeletons for spinal cord injury patients demonstrate measurable improvements in gait parameters, offering hope for restoring mobility. With over 100 cumulative citations across his most influential papers, his work bridges engineering innovation and clinical application, making rehabilitation training more adaptive, data-driven, and patient-centered. His research continues to shape the next generation of assistive robotics.
Research Focus
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Top Papers
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