Grants per year
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.
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.
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.
Education/Academic qualification
PhD, University of New Brunswick
… → 2008
Research interests
- Amputation
- Electrophysiology
Fingerprint Dive into the research topics where Levi J Hargrove is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 57 Similar Profiles
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Grants
Intuitive Control of a Hybrid Prosthetic Leg During Ambulation
Shirley Ryan AbilityLab, National Institute of Child Health & Human Development (NICHD)
9/20/18 → 6/30/23
Project: Research project
Flexible Epidermal Electrodes for Intuitive Control of Powered Arm and Leg Protheses
Shirley Ryan AbilityLab, Department of Defense
9/15/18 → 9/14/21
Project: Research project
The Functional Importance of Powered Wrist Flexion for Upper Limb Prostheses
Shirley Ryan AbilityLab, National Institutes of Health
9/12/18 → 5/31/23
Project: Research project
National Robotics Initiative 2.0: Ubiquitous Collaborative Robots (NRl-2.0)
University of Michigan, National Science Foundation
10/1/17 → 9/30/20
Project: Research project
Research Output
A Fully-integrated Gesture and Gait Processing SoC for Rehabilitation with ADC-less Mixed-signal Feature Extraction and Deep Neural Network for Classification and Online Training
Wei, Y., Cao, Q., Gu, J., Otseidu, K. & Hargrove, L., Mar 2020, 2020 IEEE Custom Integrated Circuits Conference, CICC 2020. Institute of Electrical and Electronics Engineers Inc., 9075910. (Proceedings of the Custom Integrated Circuits Conference; vol. 2020-March).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Determining User Intent of Partly Dynamic Shoulder Tasks in Individuals with Chronic Stroke Using Pattern Recognition
Kopke, J. V., Ellis, M. D. & Hargrove, L. J., Jan 2020, In : IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28, 1, p. 350-358 9 p., 8908762.Research output: Contribution to journal › Article
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 journal › Article
6
Scopus
citations
Altered Neural Control Reduces Shear Forces and Ankle Impedance on a Slippery Surface
Whitmore, M. W., Hargrove, L. J. & Perreault, E. J., Aug 2019, In : IEEE Transactions on Biomedical Engineering. 66, 8, p. 2381-2389 9 p., 8587207.Research output: Contribution to journal › Article
Applying LDA-based pattern recognition to predict isometric shoulder and elbow torque generation in individuals with chronic stroke with moderate to severe motor impairment
Kopke, J. V., Hargrove, L. J. & Ellis, M. D., Mar 5 2019, In : Journal of neuroengineering and rehabilitation. 16, 1, 35.Research output: Contribution to journal › Article
4
Scopus
citations