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Nataliya Rokhmanova
Nataliya Rokhmanova
PhD Candidate, Carnegie Mellon University and Max Planck Institute for Intelligent Systems
Email verificata su andrew.cmu.edu
Titolo
Citata da
Citata da
Anno
Vibrotactile feedback improves foot placement perception on stairs for lower-limb prosthesis users
N Rokhmanova, E Rombokas
2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR …, 2019
242019
Corneal potential maps measured with multi-electrode electroretinography in rat eyes with experimental lesions
Z Derafshi, BE Kunzer, EM Mugler, N Rokhmanova, DW Park, H Tajalli, ...
Investigative ophthalmology & visual science 58 (7), 2863-2873, 2017
152017
Predicting knee adduction moment response to gait retraining with minimal clinical data
N Rokhmanova, KJ Kuchenbecker, PB Shull, R Ferber, E Halilaj
PLOS Computational Biology 18 (5), e1009500, 2022
62022
IMU-Based Kinematics Estimation Accuracy Affects Gait Retraining Using Vibrotactile Cues
N Rokhmanova, O Pearl, KJ Kuchenbecker, E Halilaj
IEEE Transactions on Neural Systems and Rehabilitation Engineering: a …, 2024
42024
Capacitive Sensing for Natural Environment Biomechanics Monitoring
O Pearl, N Rokhmanova, L Dankovich, S Faille, S Bergbreiter, E Halilaj
12024
Precision Haptics in Gait Retraining for Knee Osteoarthritis
N Rokhmanova
Carnegie Mellon University, 2024
2024
ARIADNE: A Wearable Platform for Evaluating Vibrotactile Motion Guidance
N Rokhmanova, J Martus, R Faulkner, J Fiene, KJ Kuchenbecker
Available at SSRN 5006211, 2024
2024
Wearable Biofeedback for Knee Joint Health: Improving Haptics for Precision Rehabilitation
N Rokhmanova
Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing …, 2023
2023
Inferring cognitive load based on gait
N Rokhmanova, S Ghosh, R Ballagas, M Vankipuram
US Patent App. 17/773,099, 2022
2022
Sensory Feedback in Lower Limb Prostheses
N Rokhmanova
2019
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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