Papers

5

Total Citations

560

H-Index

5

About

Anusha Venkatakrishnan is a leading researcher at the intersection of neurorehabilitation and robotics, whose work is transforming how stroke survivors recover mobility. Her primary research areas include brain-machine interfaces (BMI), robotic exoskeletons, and neural decoding for gait and upper limb rehabilitation. Her most impactful contribution is the development and clinical validation of the H2 robotic exoskeleton for gait rehabilitation after stroke, detailed in a landmark 2015 paper that has garnered over 347 citations. This study demonstrated significant functional improvements in stroke patients, establishing a new standard for robot-assisted therapy. Venkatakrishnan has also pioneered the integration of BMI systems with robotic devices, as seen in her work on the NASA X1 powered lower limb exoskeleton (64 citations), which allows for closed-loop, intent-driven rehabilitation. Her 2018 study on neural decoding of robot-assisted gait (47 citations) further advanced the field by showing that walking patterns can be decoded from brain activity in stroke survivors, enabling more adaptive and personalized therapy. With a portfolio of highly cited papers, Venkatakrishnan is a key figure in making neuro-robotic rehabilitation a practical reality for patients recovering from stroke.

Research Focus

Key Achievements

5
H-Index
5
Papers
560
Total Citations
112
Avg Citations/Paper
🏆 Most Cited Paper
The H2 robotic exoskeleton for gait rehabilitation after stroke: early findings from a clinical study
347 citations · 2015
📈 Most Prolific Year: 2014 (3 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Palo Alto Research Center, Interface (United States), University of Houston, John Lewis Partnership (United Kingdom)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago