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RIC Fast Facts

  • 182-bed inpatient hospital in downtown Chicago
  • Operates more than 50 sites of care
  • Advances Ability of patients of all ages
  • Recognized as "#1 Rehabilitation Hospital in America" by U.S. News & World Report every year since 1991
Levi Hargrove, P. Eng.

Levi Hargrove, P. Eng., PhD

  • Director, Neural Engineering for Prosthetics and Orthotics Lab, RIC
  • Research Assistant Professor, PM&R, NU

Profile

Gender:
Male

Education, Residency and Internship

Education

1998-2003
University of New Brunswick, Fredericton, NB, BS, Engineering
2003-2005
University of New Brunswick, Fredericton, NB, MS, Engineering
2005-2008
University of New Brunswick, Fredericton, NB, Doctor of Philosophy

Additional Information

Lab

Honors & Awards

  • 2008            The President’s Doctoral Tuition Award          
  • 2005 - 2008   NSERC PGS-D Scholarship                          
  • 2005 - 2008   Doctoral Tuition Award                                   
  • 2005 - 2006   The John S. Little International Study Fellowship   
  • 2003 - 2005   NSERC PGS-A Scholarship                           
  • 2004 - 2005   Board of Governors Merit Awards for Graduate Studies
  • 2002 - 2003   Brydone Jack Prize (Highest Standing Undergraduate in Electrical Engineering)
  • 2002 - 2003   University of New Brunswick Special Undergraduate Scholarship
  • 2002 - 2003   Grandy, Gibson, Holmes Memorial Scholarship (Community Leadership) 
  • 1998 - 2002   Entrance Scholarship, University of New Brunswick                        
  • 1998 - 2003   Dean’s List, Faculty of Engineering, University of New Brunswick   
  • 1998 - 1999   A. P. E. N. B. Prize I (Highest Standing in First Year Engineering)  
  • 1998 - 1999   Alumni Prize    
  • 1998 - 1999   Emma Porter Perkins Scholarship (Community Leadership)  

Publications

  • Y. Li, L. Smith, L. Hargrove, D. Weber, G. Loeb, “Sparse Optimal Motor Estimation (SOME) for Extracting Commands for Prosthetic Limbs”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Accepted.
  • H. Daley, K. Englehart, L. Hargrove, U. Kuruganti, “High density electromyography data of normally limbed and transradial amputee subjects for multifunction prosthetic control”, J of Electromyography and Kinesiology, 22(3):478-84, 2012.
  • A. Young, L. Hargrove, and T. Kuiken, “Improving Myoelectric Pattern Recognition Robustness to Electrode Shift by Changing Interelectrode Distance and Electrode Configuration”, IEEE Transactions on Biomedical Engineering, 59(3):645-652, 2012.
  • A. Young, L. Hargrove, and T. Kuiken, “The Effects of Electrode Size and Orientation on the Sensitivity of Myoelectric Pattern Recognition Systems to Electrode Shift”, IEEE Transactions on Biomedical Engineering, 58(9):2537-2544, 2011.
  • H. Huang , F. Zhang, L. Hargrove, Z. Dou, D. Rogers, and K. Englehart, Continuous Locomotion Mode Identification based on Neuromuscular-Mechanical Fusion for Prosthetic Legs, IEEE Transactions on Biomedical Engineering , 58(10):2867-2875.
  • A. Simon, L. Hargrove, B. Lock, and T. Kuiken, “A decision-based velocity ramp for minimizing the effect of misclassifications during real-time pattern recognition control”, IEEE Transactions on Biomedical Engineering, 58(8):2360-2368, 2011
  • L. Hargrove, A. Simon, R. Lipschutz, S. Finucane and T. Kuiken, “Real-time Myoelectric Control of Knee and Ankle Motions for Transfemoral Amputees”, J of the AMA, 305(15):6-8, 2011.
  • A. Simon, L. Hargrove, B. Lock, T. Kuiken, “The Target Achievement Control Test: Evaluating real-time myoelectric pattern recognition control of a multifunctional upper-limb prosthesis”, J of Rehab R and D, 48(6):619-628, 2011.
  • L. Smith, L. Hargrove, B. Lock, and T. Kuiken, “Determining the optimal window length for pattern recognition-based myoelectric control: balancing the competing effects of classification error and controller delay”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 19(2):186-192, 2011.
  • L. Hargrove, E. Scheme, K. Englehart and B. Hudgins, “Multiple Binary Classifications via Linear Discriminant Analysis for Improved Controllability of a Powered Prosthesis”, IEEE Transactions of Neural Systems and Rehabilitation Engineering, 18(1):49-57, 2010.
  • L. Hargrove, P. Zhou, K. Englehart, and T. Kuiken, “The Effect of ECG Interference on Pattern Recognition Based Myoelectric Control for Targeted Muscle Reinnervation Subjects”, IEEE Transactions on Biomedical Engineering, 56(9):2197-2201, 2009.
  • L. Hargrove, G. Li, K. Englehart, and B. Hudgins, “Principle Components Analysis Preprocessing to Improve Classification Accuracies in Pattern Recognition Based Myoelectric Control”, IEEE Transactions on Biomedical Engineering,vol. 56(5):1407 – 1414, 2009.
  • L. Hargrove, K. Englehart, B. Hudgins, “A Training Strategy to Reduce Classification Degradation due to Electrode Displacements in Pattern Recognition Based Myoelectric Control”, Biomedical Signal Processing and Control, 3:175-180, 2008.
  • L. Hargrove, K. Englehart, and B. Hudgins, “A Comparison of Surface and Intramuscular Myoelectric Signal Classification” IEEE Transactions on Biomedical Engineering, 54:847-853, 2007.
  • P. Zhou, M. Lowery, K. Englehart, H. Huang, G-L Li, L. Hargrove, J. DeWald, and T. Kuiken, “Decoding a New Neural Machine Interface for Control of Artificial Limbs”, J of Neurophys, pp. 2974 – 2982, 2007.

Research Interests

Dr. Hargrove’s research interests include signal processing, pattern recognition and myoelectric control of powered prostheses. Dr. Hargrove focuses on research and development of clinically realizable myoelectric control systems in hopes that the systems can be made available to amputees in the near-term.

Related Documents

Office Information

Locations

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    345 East Superior Street
    Chicago, IL 60611
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