![]() ![]() This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.ĭata Availability: All relevant data are within the paper and its Supporting Information files.įunding: This study was supported by a National Science Foundation (NSF) PFI Grant # 1534003 (received by KB), a Rackham Graduate Student Research Grant (received by DT), and start-up funds from the University of Michigan’s Mechanical Engineering Department (received by KB). Received: MaAccepted: JanuPublished: February 15, 2018Ĭopyright: © 2018 Totah et al. University of Electronic Science and Technology of China, CHINA ![]() ![]() Citation: Totah D, Ojeda L, Johnson DD, Gates D, Mower Provost E, Barton K (2018) Low-back electromyography (EMG) data-driven load classification for dynamic lifting tasks. ![]()
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