Papers
13
Total Citations
346
H-Index
10
About
Janis Kim is a leading researcher in neurorehabilitation robotics, focusing on restoring locomotor function in individuals with neurological impairments. Her work primarily targets three clinical populations: children with cerebral palsy, individuals post-stroke, and patients with spinal cord injury. Kim’s core contribution lies in developing and testing robotic treadmill training paradigms that apply targeted forces—such as resistance, assistance, or pelvic constraint—to improve gait symmetry, muscle activation, and walking function. Her 2017 randomized controlled pilot study on robotic resistance training in children with cerebral palsy (65 citations) demonstrated significant improvements in locomotor function, establishing a foundation for force-based gait therapy. Similarly, her 2014 study on post-stroke individuals (58 citations) showed that robotic resistance/assistance training enhances walking outcomes. Kim’s innovative approach extends to dynamic weight-shifting training and forced-use strategies for the paretic leg, as seen in her 2017 work (36 citations). She also explored sEMG-based gait phase recognition for spastic cerebral palsy (27 citations), bridging engineering and clinical application. With over 300 cumulative citations across her top ten papers, Kim’s research is shaping evidence-based robotic rehabilitation, offering new hope for patients with chronic mobility impairments.
Research Focus
Key Achievements
Top Papers
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- 5sEMG Based Gait Phase Recognition for Children with Spastic Cerebral Palsy27 citations · 2018
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