Jacqueline S. Hebert
Papers
12
Total Citations
674
H-Index
7
About
Jacqueline S. Hebert is a leading researcher at the intersection of prosthetics, neurorehabilitation, and human-machine interfaces, whose work has fundamentally advanced how amputees experience and control bionic upper limbs. Her research spans sensory reinnervation, myoelectric prosthesis control, and the neuroscience of kinesthesia, collectively garnering over 670 citations. Hebert's most influential contribution, "Illusory Movement Perception Improves Motor Control for Prosthetic Hands" (2018, 201 citations), demonstrated how restoring kinesthetic feedback enhances prosthetic motor learning — a breakthrough bridging neuroscience and rehabilitation engineering. Her pioneering work on targeted sensory reinnervation (2014, 145 citations) introduced intraoperative techniques using somatosensory evoked potentials to precisely restore hand sensation after transhumeral amputation, while her 2021 study on neurorobotic fusion (125 citations) showed that integrating touch, proprioception, and intuitive motor control promotes natural brain behaviors in prosthetic users. Complementing this, Hebert has advanced intelligent prosthetic control through machine learning approaches — predicting user intent, enabling adaptive limb switching, and developing standardized evaluation frameworks. Her creation of the brachIOplexus training software further reflects her commitment to translating research into clinical practice, making her work as impactful in rehabilitation settings as it is in the laboratory.
Research Focus
Key Achievements
Top Papers
- 1Illusory movement perception improves motor control for prosthetic hands201 citations · 2018
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- 5Application of real-time machine learning to myoelectric prosthesis control62 citations · 2015
- 6Updates in Targeted Sensory Reinnervation for Upper Limb Amputation42 citations · 2014
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- 9The Effect of an Automatically Levelling Wrist Control System4 citations · 2019
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