Special Section Technical Briefs

Gait State Estimation for a Powered Ankle Orthosis Using Modified Fractional Timing and Artificialc Neural Network1

[+] Author and Article Information
Mazharul Islam, Elizabeth T. Hsiao-Wecksler

Department of Mechanical Science and Engineering,
University of Illinois at Urbana-Champaign,
Urbana, IL 61820

Martin T. Hagan

Department of Electrical and Computer Engineering,
Oklahoma State University,
Stillwater, OK 74075

DOI: 10.1115/1.4033220Manuscript received March 1, 2016; final manuscript received March 17, 2016; published online May 12, 2016. Editor: William Durfee.

J. Med. Devices 10(2), 020920 (May 12, 2016) (2 pages) Paper No: MED-16-1160; doi: 10.1115/1.4033220 History: Received March 01, 2016; Revised March 17, 2016

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Li, D. Y. , Becker, A. , Shorter, K. A. , Bretl, T. , and Hsiao-Wecksler, E. T. , 2011, “ Estimating System State During Human Walking With a Powered Ankle-Foot Orthosis,” IEEE/ASME Trans. Mechatronics, 16(5), pp. 835–844. [CrossRef]
Shorter, K. A. , Kogler, G. F. , Loth, E. , Durfee, W. K. , and Hsiao-Wecksler, E. T. , 2011, “ A Portable Powered Ankle-Foot Orthosis for Rehabilitation,” J. Rehabil. Res. Dev., 48(4), pp. 459–472. [CrossRef] [PubMed]
Hagan, M. T. , and Menhaj, M. B. , 1994, “ Training Feedforward Networks With the Marquardt Algorithm,” IEEE Trans. Neural Networks, 5(6), pp. 989–993. [CrossRef]
Foresee, F. D. , and Hagan, M. T. , 1997, “ Gauss-Newton Approximation to Bayesian Learning,” International Joint Conference on Neural Networks (ICNN), Houston, TX, June 9–12, Vol. 3, pp. 1930–1935.





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