Jacqueline S. Hebert MD, FRCPC (Faculty)

Dr. Hebert is the director of the BLINC Lab and has research appointments at the University of Alberta and a clinical appointment at the Glenrose Rehabilitation Hospital.

Her research team studies advanced motor control and sensory feedback systems for prosthetic devices to improve outcomes after limb amputation.  Dr. Hebert has been instrumental in implementing new technologies and treatments for persons with limb amputation through interdisciplinary clinical and research initiatives, including being the first center in Canada to introduce targeted reinnervation surgery for upper limb amputation. She is the research lead for the Alberta Limb Osseointegration Program for bone-anchored prostheses. Research interests also include using technology to quantify and improve outcomes following limb amputation.  

Appointments

  • Professor, Division of Physical Medicine & Rehabilitation, Department of Medicine, Faculty of Medicine & Dentistry, University of Alberta
  • Adjunct Associate Professor, Department of Biomedical Engineering, Faculty of Engineering, University of Alberta
  • Adjunct Associate Professor, Department of Mechanical Engineering, Faculty of Engineering, University of Alberta
  • Adjunct Associate Professor, Division of Orthopaedic Surgery, Department of Surgery, Faculty of Medicine & Dentistry, University of Alberta
  • Physiatrist, Adult Amputation Rehabilitation, Glenrose Rehabilitation Hospital, Alberta Health Services
  • Research Affiliate, Glenrose Rehabilitation Hospital, Alberta Health Services

Publications (selected)

  • See full list of publications at: https://orcid.org/0000-0003-0788-0568

  • Marasco PD, Hebert JS, Sensinger JW, Beckler DT, Thumser ZC, Shehata AW, Williams HE, Wilson K. (2021). Neurorobotic fusion of prosthetic touch, kinesthesia, and movement in bionic upper limbs promotes intrinsic brain behaviors. Science Robotics. 6(58).
    DOI: https://www.science.org/doi/10.1126/scirobotics.abk3123

  • Shehata AW, Williams HE, Hebert JS, Pilarski PM. (2021). Machine Learning for Electromyographic Signal-driven Control of Prosthetic Hands. IEEE Signal Processing Magazine. 38(4): 46–53.
    DOI: https://doi.org/10.1109/MSP.2021.3075931

  • Williams HE, Chapman CS, Pilarski PM, Vette AH, Hebert JS. (2021). Myoelectric Prosthesis Users and Non-Disabled Individuals Wearing A Simulated Prosthesis Exhibit Similar Compensatory Movement Strategies. Journal of NeuroEngineering and Rehabilitation. 18(72).
    DOI: https://doi.org/10.1186/s12984-021-00855-x

  • Hallworth BW, Austin JA, Williams HE, Rehani M, Shehata AW, Hebert JS. (2020). A Modular Adjustable Transhumeral Prosthetic Socket for Evaluating Myoelectric Control. IEEE Journal of Translational Engineering in Health and Medicine. 8: 1–10.
    DOI: https://doi.org/10.1109/JTEHM.2020.3006416

  • Shehata AW, Rehani M, Jassat ZE, Hebert JS. (2020). Mechanotactile Sensory Feedback Improves Embodiment of a Prosthetic Hand During Active Use. Frontiers in Neuroscience. 14: 263.
    DOI: https://doi.org/10.3389/fnins.2020.00263

  • Hebert JS, Boser QA, Valevicius AM, Tanikawa H, Lavoie EB, Vette AH, Pilarski PM, Chapman CS. (2019). Quantitative gaze and movement differences in visuomotor adaptations of upper extremity prosthesis users to varying task demands. JAMA Network Open. 2(9): e1911197.
    DOI: https://doi.org/10.1001/jamanetworkopen.2019.11197

  • Schofield JS, Schoepp KR, Stobbe M, Marasco PD, Hebert JS. (2019). Fabrication and application of an adjustable myoelectric transhumeral prosthetic socket. Prosthetics & Orthotics International. 43(5): 564–67.
    DOI: https://doi.org/10.1177/0309364619836353

  • Williams HE, Chapman CS, Pilarski PM, Vette AH, Hebert JS. (2019). Gaze and Movement Assessment (GaMA): Inter-site Validation of a Visuomotor Upper Limb Functional Protocol. PLoS One. 14(12): e0219333.
    DOI: https://doi.org/10.1371/journal.pone.0219333

  • Valevicius AM, Boser QA, Chapman CS, Pilarski PM, Vette AH, Hebert JS. (2019). Compensatory strategies of body-powered prosthesis users reveal primary reliance on trunk motion and relation to skill level. Clinical Biomechanics. 72: 122–29.
    DOI: https://doi.org/10.1016/j.clinbiomech.2019.12.002

  • Valevicius AM, Boser QA, Lavoie EB, Chapman CS, Pilarski PM, Hebert JS, Vette AH. (2019). Characterization of Normative Angular Joint Kinematics During Two Functional Upper Limb Tasks. Gait and Posture. 69: 176–86.
    DOI: https://doi.org/10.1016/j.gaitpost.2019.01.037

  • Lavoie EB, Valevicius AM, Boser QA, Kovic O, Vette AH, Pilarski PM, Hebert JS, Chapman, CS. (2018). Using synchronized eye and motion tracking to determine high-precision eye movement patterns during object interaction tasks. Journal of Vision. 18(6): 1–20.
    DOI: https://doi.org/10.1167/18.6.18

  • Valevicius AM, Boser QA, Lavoie EB, Murgatroyd G, Chapman CS, Pilarski PM, Vette AH, Hebert JS. (2018). Characterization of normative hand movements during two functional upper limb tasks. PLoS One. 13(6): e0199549.
    DOI: https://doi.org/10.1371/journal.pone.0199549

  • Schoepp KR, Dawson MR, Schofield JS, Carey JP, Hebert JS. (2018). Design and Integration of an Inexpensive Wearable Mechanotactile Feedback System for Myoelectric Prostheses. IEEE Journal of Translational Engineering in Health and Medicine. 6(1): 1–11.
    DOI: https://doi.org/10.1109/JTEHM.2018.2866105

  • Marasco PD, Hebert JS, Sensinger JW, Shell CE, Schofield JS, Thumser ZC, Nataraj R, Beckler DT, Dawson MR, Blustein DH, Gill S, Mensh BD, Granja-Vazquez R, Newcomb MD, Carey JP, Orzell BM. (2018). Illusory movement perception improves motor control for prosthetic hands. Science Translational Medicine. 10(432): eaao6990.
    DOI: https://doi.org/10.1126/scitranslmed.aao6990

  • Boser QA, Valevicius AM, Lavoie EB, Chapman CS, Pilarski PM, Hebert JS, Vette AH. (2018). Cluster-Based Upper Body Marker Models for Three-Dimensional Kinematic Analysis: Comparison with an Anatomical Model and Reliability Analysis. Journal of Biomechanics. 72: 228–34.
    DOI: https://doi.org/10.1016/j.jbiomech.2018.02.028

  • Schofield JS, Schoepp KR, Williams H, Carey JP, Marasco PD, Hebert JS. (2017). Characterization of Interfacial Socket Pressure in Transhumeral Prostheses: a Case Series. PLoS One. 12(6): e0178517.
    DOI: https://doi.org/10.1371/journal.pone.0178517

  • Hebert JS, Rehani M, Stiegelmar RS. (2017). Limb Osseointegration for Lower Limb Amputation: A Review of Published Outcomes. Journal of Bone and Joint Surgery Reviews. 5(10): e10.
    DOI: http://dx.doi.org/10.2106/JBJS.RVW.17.00037

  • Edwards A, Dawson MR, Hebert JS, Sherstan C, Sutton RS, Chan KM, Pilarski PM. (2016). Application of Real-time Machine Learning to Myoelectric Prosthesis Control: A Case Study in Adaptive Switching. Prosthetics & Orthotics International. 40(5): 573–81.
    DOI: https://doi.org/10.1177/0309364615605373

  • Schofield JS, Evans KR, Hebert JS, Marasco PD, Carey JP. (2016). The Effect of Biomechanical Variables on ForceSensitive Resistor Error: Implications for Calibration and Improved Accuracy. Journal of Biomechanics. 49(5): 786–92.
    DOI: https://doi.org/10.1016/j.jbiomech.2016.01.022

  • Hebert JS, Chan KM, Dawson MR. (2016). Comparing cutaneous sensory outcomes from three transhumeral targeted reinnervation cases. Prosthetics & Orthotics International. 40(3): 303–10.
    DOI: https://doi.org/10.1177/0309364616633919

  • Schofield JS, Dawson MR, Carey JP, Hebert JS. (2015). Characterizing vibration induced movement illusions: implications in sensory-motor rehabilitation. Technology and Health Care. 23(2): 129–41.
    DOI: http://www.ncbi.nlm.nih.gov/pubmed/25425585

  • Hebert JS, Lewicke JL, Williams TR, Vette AH. (2014). Normative data for a modified Box and Blocks test measuring upper limb function via motion capture. Journal of Rehabilitation Research and Development. 51(6): 919–32.
    DOI: http://dx.doi.org/10.1682/JRRD.2013.10.0228

  • Hebert JS, Olson JL, Morhart MJ, Dawson MR, Marasco PD, Kuiken TA, Chan KM. (2014). Novel Targeted Sensory Reinnervation Technique To Restore Functional Hand Sensation After Transhumeral Amputation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 22(4): 765–73.
    DOI: http://ieeexplore.ieee.org/document/6687303/

  • Hebert JS, Elzingza K, Chan KM, Olson JL, Morhart MJ. (2014). Updates in Targeted Sensory Reinnervation for upper limb amputation. Current Surgery Reports. 2(3): 45–53.
    DOI: https://link.springer.com/article/10.1007/s40137-013-0045-7

  • Schofield JS, Evans KR, Carey JP, Hebert JS. (2014). Applications of sensory feedback in motorized upper extremity prostheses: a review. Expert Review of Medical Devices. 11(5): 499–511.
    DOI: https://doi.org/10.1586/17434440.2014.929496

  • Hebert JS, Lewicke J. (2012). Case report of modified Box and Blocks test with motion capture to measure prosthetic function. Journal of Rehabilitation Research and Development. 49(8): 1163–74.
    DOI: https://dx.doi.org/10.1682/JRRD.2011.10.0207

  • Hebert JS, Payne MW, Wolfe DL, Deathe AB, Devlin M. (2012). Comorbidities in amputation: a systematic review of hemiplegia and lower limb amputation. Disability and Rehabilitation. 34(23): 1943–1949.
    DOI: https://doi.org/10.3109/09638288.2012.665131

  • Hebert JS, Wolfe DL, Miller WC, Deathe AB, Devlin M, Pallaveshi L. (2009). Outcome measures in amputation rehabilitation: ICF Body Functions. Disability and Rehabilitation. 31(19): 1541–54.
    DOI: https://doi.org/10.1080/09638280802639467

  • Deathe AB, Wolfe DL, Devlin M, Hebert JS, Miller WC, Pallaveshi L. (2009). Selection of outcome measures in lower extremity amputation rehabilitation: ICF Activities. Disability and Rehabilitation. 31(18): 1455–73.
    DOI: https://doi.org/10.1080/09638280802639491