@inproceedings{f653e63b40c24f5ab82a4d075ed8d1af,
title = "Improving automatic control of an ankle-foot prosthesis using machine learning algorithms",
author = "Fairhurst, {Stuart R.} and Sara Koehler-McNicholas and Slater, {Billie C.S.} and Nickel, {Eric A.} and Koester, {Karl A.} and Voss, {Gregory O.} and Andrew Hansen and Ferguson, {John E.}",
note = "Funding Information: We would like to acknowledge Kyle Barrons, CPO for his valuable feedback on the system design. The research reported here was supported by the Department of Veterans Affairs, Veterans Health Administration, Rehabilitation Research and Development Service (Award #A1531-R) and by the Minnesota Veterans Medical Research and Education Foundation. The contents of this publication do not represent the views of the U.S. Department of Veterans Affairs or the United States Government.; Frontiers in Biomedical Devices, BIOMED - 2017 Design of Medical Devices Conference, DMD 2017 ; Conference date: 10-04-2017 Through 13-04-2017",
year = "2017",
doi = "10.1115/DMD2017-3464",
language = "English (US)",
series = "Frontiers in Biomedical Devices, BIOMED - 2017 Design of Medical Devices Conference, DMD 2017",
publisher = "American Society of Mechanical Engineers",
booktitle = "Frontiers in Biomedical Devices, BIOMED - 2017 Design of Medical Devices Conference, DMD 2017",
}