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Research Spending & Results

Award Detail

Awardee:UNIVERSITY OF RHODE ISLAND
Doing Business As Name:University of Rhode Island
PD/PI:
  • He Huang
  • (919) 515-5218
  • hhuang11@ncsu.edu
Co-PD(s)/co-PI(s):
  • Qing Yang
  • Yan Sun
Award Date:08/13/2009
Estimated Total Award Amount: $ 1,383,980
Funds Obligated to Date: $ 1,383,980
  • FY 2009=$1,383,980
Start Date:09/01/2009
End Date:08/31/2013
Transaction Type:Grant
Agency:NSF
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.041
Primary Program Source:040101 RRA RECOVERY ACT
Award Title or Description:CPS:Medium: Towards Neural-controlled Artificial Legs using High-Performance Embedded Computers
Federal Award ID Number:0931820
DUNS ID:144017188
Parent DUNS ID:075705780
Program:CPS-Cyber-Physical Systems
Program Officer:
  • Radhakisan Baheti
  • (703) 292-8339
  • rbaheti@nsf.gov

Awardee Location

Street:RESEARCH OFFICE
City:KINGSTON
State:RI
ZIP:02881-1967
County:Kingston
Country:US
Awardee Cong. District:02

Primary Place of Performance

Organization Name:University of Rhode Island
Street:RESEARCH OFFICE
City:KINGSTON
State:RI
ZIP:02881-1967
County:Kingston
Country:US
Cong. District:02

Abstract at Time of Award

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). The objective of this research is to develop a trustworthy and high-performance neural-machine interface (NMI) that accurately determines a user?s locomotion mode in real-time for neural-controlled artificial legs. The proposed approach is to design the NMI by integrating a new pattern recognition strategy with a high-performance computing embedded system. This project tackles the challenges of accurate interpretation of information from the neuromuscular system, a physical system, using appropriate computation in a cyber system to process the information in real-time. The neural-machine interface consists of multiple sensors that reliably monitor the neural and mechanical information and a set of new algorithms that can fuse and coordinate the highly dynamic information for accurate identification of user intent. The algorithm is to be implemented on a high-performance graphic processing unit (GPU) to meet real-time requirements. This project has the potential to enable the design of neural-controlled artificial legs and may initiate a new direction for research in and the design of prosthetic leg systems. Innovations in this domain have the potential to improve the quality of life of leg amputees, including soldiers with limb amputations. The proposed approaches seek to permit cyber systems to cope with physical uncertainty and dynamics, a common challenge in cyber-physical systems, and to pave a way for applying high-performance computing in biomedical engineering. Besides providing comprehensive training to undergraduate and graduate students, the investigators plan to introduce community college students to cyber-physical systems concepts in an interactive and engaging manner.

Publications Produced as a Result of this Research

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Huang, H; Zhang, F; Hargrove, LJ; Dou, Z; Rogers, DR; Englehart, KB "Continuous Locomotion-Mode Identification for Prosthetic Legs Based on Neuromuscular-Mechanical Fusion" IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, v.58, 2011, p.2867. doi:10.1109/TBME.2011.216167  View record at Web of Science

Zhang, XR; Liu, YH; Zhang, F; Ren, J; Sun, YL; Yang, Q; Huang, H "On Design and Implementation of Neural-Machine Interface for Artificial Legs" IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, v.8, 2012, p.418. doi:10.1109/TII.2011.216677  View record at Web of Science

Zhang, F; D'Andrea, SE; Nunnery, MJ; Kay, SM; Huang, H "Towards Design of a Stumble Detection System for Artificial Legs" IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, v.19, 2011, p.567. doi:10.1109/TNSRE.2011.216188  View record at Web of Science

Huang, H; Zhang, F "DESIGN OF A STUMBLE DETECTOR FOR ARTIFICIAL LEGS" ANNALS OF BEHAVIORAL MEDICINE, v.43, 2012, p.S72. View record at Web of Science

Huang, H; Zhang, F; Sun, YL; He, HB "Design of a robust EMG sensing interface for pattern classification" JOURNAL OF NEURAL ENGINEERING, v.7, 2010, p.. doi:10.1088/1741-2560/7/5/05600  View record at Web of Science

Fan Zhang, He Huang "Source selection for real-time user intent recognition towards volitional control of artificial legs" IEEE Journal of Biomedical and Health Informatics, v.17, 2013, p.907. doi:2168-2194 

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