Papers

12

Total Citations

412

H-Index

9

About

Ximena Omlin is a biomedical engineer and rehabilitation robotics researcher whose work sits at the intersection of human-robot interaction, neurological rehabilitation, and physiological signal processing. She has made significant contributions to the field of robot-assisted gait rehabilitation, particularly in developing adaptive, patient-centered control systems that respond intelligently to both the physical and psychological states of individuals recovering from stroke and other neurological conditions. Omlin's most influential work focuses on "bio-cooperative control" — a paradigm in which rehabilitation robots dynamically adjust to a patient's cognitive and physical engagement in real time. Her landmark 2011 papers on closed-loop cognitive load control (98 citations) and psychological state estimation from physiological signals (89 citations) demonstrated that monitoring and responding to patients' mental states during therapy could meaningfully improve rehabilitation outcomes. Her research on controlling patient participation (84 citations) further advanced approaches to encouraging active physical engagement during robotic gait therapy. Beyond stroke rehabilitation, Omlin has explored workload estimation in physical human-robot interaction using multimodal physiological measurements, and has investigated an innovative direction in sleep science through the Somnomat project — a novel actuated bed examining how vestibular stimulation influences sleep quality. Together, her body of work reflects a consistent commitment to making assistive technologies more responsive, personalized, and effective for vulnerable populations.

Research Focus

Key Achievements

9
H-Index
12
Papers
412
Total Citations
34
Avg Citations/Paper
🏆 Most Cited Paper
Real-Time Closed-Loop Control of Cognitive Load in Neurological Patients During Robot-Assisted Gait Training
98 citations · 2011
📈 Most Prolific Year: 2011 (6 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: ETH Zurich, Board of the Swiss Federal Institutes of Technology, University of Zurich

Top Papers

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    Voluntary gait speed adaptation for robot-assisted treadmill training
    11 citations · 2009
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago