Kaitlin G. Rabe

Orcid: 0000-0003-3565-3864

According to our database1, Kaitlin G. Rabe authored at least 9 papers between 2019 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2022
Evaluating Electromyography and Sonomyography Sensor Fusion to Estimate Lower-Limb Kinematics Using Gaussian Process Regression.
Frontiers Robotics AI, 2022

Forward Models That Integrate High-Dimensional and Localized Sensing of Peripheral Muscle Behavior Enable Task-Independent Prediction of Lower-Limb Joint Torque and Position Future States.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Ultrasound Sensing Can Improve Continuous Classification of Discrete Ambulation Modes Compared to Surface Electromyography.
IEEE Trans. Biomed. Eng., 2021

Continuous Prediction of Leg Kinematics During Ambulation using Peripheral Sensing of Muscle Activity and Morphology.
Proceedings of the International Symposium on Medical Robotics, 2021

Task-Invariant Learning of Continuous Joint Kinematics during Steady-State and Transient Ambulation Using Ultrasound Sensing.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Ultrasound-Derived Features of Muscle Architecture Provide Unique Temporal Characterization of Volitional Knee Motion.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Use of Sonomyographic Sensing to Estimate Knee Angular Velocity During Varying Modes of Ambulation.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Use of Sonomyography for Continuous Estimation of Hip, Knee and Ankle Moments During Multiple Ambulation Tasks<sup>*</sup>.
Proceedings of the 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2020

2019
Gait Phase Identification During Level, Incline and Decline Ambulation Tasks Using Portable Sonomyographic Sensing.
Proceedings of the 16th IEEE International Conference on Rehabilitation Robotics, 2019


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