Gait state estimation for a powered ankle orthosis using modified fractional timing and artificial neural network

Mazharul Islam; Martin T. Hagan; Elizabeth T. Hsiao-Wecksler

doi:10.1115/1.4033220

Gait state estimation for a powered ankle orthosis using modified fractional timing and artificial neural network

Mazharul Islam, Martin T. Hagan, Elizabeth T. Hsiao-Wecksler

Research output: Contribution to journal › Article › peer-review

Original language	English (US)
Article number	020920
Journal	Journal of Medical Devices, Transactions of the ASME
Volume	10
Issue number	2
DOIs	https://doi.org/10.1115/1.4033220
State	Published - Jun 1 2016

ASJC Scopus subject areas

Medicine (miscellaneous)
Biomedical Engineering

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10.1115/1.4033220

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title = "Gait state estimation for a powered ankle orthosis using modified fractional timing and artificial neural network",

author = "Mazharul Islam and Hagan, {Martin T.} and Hsiao-Wecksler, {Elizabeth T.}",

note = "Funding Information: This work was supported by the NSF Engineering Research Center for Compact and Efficient Fluid Power, Grant No. 0540834.",

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AU - Hsiao-Wecksler, Elizabeth T.

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Gait state estimation for a powered ankle orthosis using modified fractional timing and artificial neural network

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