Levi J Hargrove

  • 3544 Citations
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Personal profile

Research Interests

The clinical focus of Dr. Hargrove's work is to apply promising control approaches to improve the control of prosthetic limbs and exoskeletons.

The academic focus of Dr. Hargrove's work is to apply machine learning and pattern recognition techniques to improve control of robotic assistive devices for individuals with physical disabilities. Promising approaches are implemented on embedded systems and tested on physical hardwre with users in-the-loop providing feedback.

Levi J. Hargrove, PhD, P.Eng, received his MScE and PhD in Electrical Engineering from the University of New Brunswick (2005, 2008). He is currently the Director of Center for Bionic Medicine at the Shirley Ryan AbilityLab and an Associate Professor in the Departments of Physical Medicine & Rehabilitation and the McCormick School of Engineering at Northwestern University. A major goal of his research is to develop clinically realizable myoelectric control systems that can be made available to persons with limb loss in the near future. His research addresses all levels of amputation and has been published in the Journal of the American Medical Association and the New England Journal of Medicine and multiple patents. Key projects include the development of advanced and adaptive control systems for prosthetic legs, improving control of robotic hand prostheses, and intramuscular EMG signal processing. In 2012, Dr. Hargrove co-founded Coapt LLC, a company which provides the first and only intuitive pattern recognition control systems for bionic arms.

Education/Academic qualification

PhD, University of New Brunswick

… → 2008


  • Amputation
  • Electrophysiology

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Research Output 2006 2019

Adapting myoelectric control in real-time using a virtual environment

Woodward, R. B. & Hargrove, L. J., Jan 16 2019, In : Journal of neuroengineering and rehabilitation. 16, 1, 11.

Research output: Contribution to journalArticle

Automated Pattern Recognition
Prostheses and Implants
Equipment and Supplies

Large-area MRI-compatible epidermal electronic interfaces for prosthetic control and cognitive monitoring

Tian, L., Zimmerman, B., Akhtar, A., Yu, K. J., Moore, M., Wu, J., Larsen, R. J., Lee, J. W., Li, J., Liu, Y., Metzger, B., Qu, S., Guo, X., Mathewson, K. E., Fan, J. A., Cornman, J., Fatina, M., Xie, Z., Ma, Y., Zhang, J. & 9 othersZhang, Y., Dolcos, F., Fabiani, M., Gratton, G., Bretl, T., Hargrove, L. J., Braun, P. V., Huang, Y. & Rogers, J. A., Mar 1 2019, In : Nature Biomedical Engineering. 3, 3, p. 194-205 12 p.

Research output: Contribution to journalArticle

Magnetic resonance imaging
Equipment and Supplies

Preliminary results toward continuous and proportional control of a multi-synergistic soft prosthetic hand

Piazza, C., Catalano, M. G., Bicchi, A. & Hargrove, L. J., Jan 1 2019, Biosystems and Biorobotics. Springer International Publishing, p. 77-81 5 p. (Biosystems and Biorobotics; vol. 21).

Research output: Chapter in Book/Report/Conference proceedingChapter

Pattern recognition

Across-Day Lower Limb Pattern Recognition Performance of a Powered Knee-Ankle Prosthesis

Simon, A., Seyforth, E. A. & Hargrove, L. J., Oct 9 2018, BIOROB 2018 - 7th IEEE International Conference on Biomedical Robotics and Biomechatronics. IEEE Computer Society, p. 242-247 6 p. 8487836. (Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics; vol. 2018-August).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Knee prostheses
Pattern recognition