Ziqi Guo

About

Ziqi Guo is a leading researcher in neurorehabilitation engineering, specializing in robotic and neuromuscular electrical stimulation (NMES) systems for post-stroke recovery. Their work focuses on optimizing upper limb rehabilitation by investigating how different mechanical support strategies—distal versus proximal—affect motor recovery. In their landmark 2019 randomized controlled trial (62 citations), Guo demonstrated that EMG-driven NMES-robotic systems can significantly improve functional outcomes after stroke, providing critical evidence for personalized rehabilitation protocols. Their 2022 study (26 citations) advanced the field by integrating corticomuscular representations of voluntary motor effort into robotic control, bridging central and peripheral neural signals to enhance wrist-hand rehabilitation. This innovative approach enables more intuitive, patient-driven therapy that promotes neuroplasticity. Guo’s contributions have shaped the design of next-generation rehabilitation robots, emphasizing user intent and neural engagement. Their work is widely cited by engineers and clinicians developing assistive technologies, and they continue to push boundaries in hybrid NMES-robotic systems, aiming to restore independence for stroke survivors through smarter, more responsive therapeutic tools.

Research Focus

Key Achievements

Top Papers

1. 1
   Distal versus proximal - an investigation on different supportive strategies by robots for upper limb rehabilitation after stroke: a randomized controlled trial

   62 citations · 2019
2. 2
   Corticomuscular integrated representation of voluntary motor effort in robotic control for wrist-hand rehabilitation after stroke

   26 citations · 2022
3. 3
   Robotic and neuromuscular electrical stimulation (NMES) hybrid system

   2 citations · 2019

Key Collaborators

Contact & Links