US 11,998,460 B2
Systems and methods for approximating musculoskeletal dynamics
Anton Sobinov, Morgantown, WV (US); Sergiy Yakovenko, Morgantown, WV (US); Valeriya Gritsenko, Morgantown, WV (US); Matthew Boots, Morgantown, WV (US); Robert Gaunt, Pittsburgh, PA (US); Jennifer Collinger, Pittsburgh, PA (US); and Lee Fisher, Pittsburgh, PA (US)
Assigned to WEST VIRGINIA UNIVERSITY, Morgantown, WV (US); and UNIVERSITY OF PITTSBURGH—OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION, Pittsburg, PA (US)
Appl. No. 17/787,701
Filed by West Virginia University, Morgantown, WV (US); and University of Pittsburgh—Of the Commonwealth System of Higher Education, Pittsburgh, PA (US)
PCT Filed Dec. 19, 2020, PCT No. PCT/US2020/066266
§ 371(c)(1), (2) Date Jun. 21, 2022,
PCT Pub. No. WO2021/127601, PCT Pub. Date Jun. 24, 2021.
Application 17/787,701 is a continuation of application No. 16/722,815, filed on Dec. 20, 2019, granted, now 11,197,769, issued on Dec. 14, 2021.
Prior Publication US 2023/0021860 A1, Jan. 26, 2023
Int. Cl. A61F 2/72 (2006.01); A61B 5/00 (2006.01); A61B 5/11 (2006.01); A61B 5/389 (2021.01); A61F 2/58 (2006.01); A61F 2/70 (2006.01); B25J 9/10 (2006.01); G06F 3/01 (2006.01); G16H 30/20 (2018.01); A61F 2/08 (2006.01); A61F 2/50 (2006.01); A61F 2/68 (2006.01)
CPC A61F 2/72 (2013.01) [A61B 5/1107 (2013.01); A61B 5/4519 (2013.01); A61F 2/582 (2013.01); A61F 2/70 (2013.01); B25J 9/1075 (2013.01); G06F 3/011 (2013.01); G06F 3/015 (2013.01); G16H 30/20 (2018.01); A61B 5/389 (2021.01); A61F 2002/0894 (2013.01); A61F 2002/5066 (2013.01); A61F 2002/6827 (2013.01); A61F 2002/6872 (2013.01); A61F 2002/704 (2013.01); A61H 2230/605 (2013.01); A63B 2230/605 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system comprising:
a biomimetic controller comprising a processor and a memory;
machine-readable instructions stored in the memory that, when executed by the processor, cause the biomimetic controller to at least:
receive a biological signal from a residual limb
 expand the biological signal into one or more activation signals based at least in part on a scaling coefficient and a number of degrees of freedom (DOFs) associated with the biological signal;
perform a modeling algorithm that transforms the one or more activation signals into one or more intended motion signals; and
perform a control algorithm that transforms the intended motion signals into control signals; and
send the control signals to a controlled device.