TY - JOUR
T1 - A method for the control of multigrasp myoelectric prosthetic hands
AU - Dalley, Skyler Ashton
AU - Varol, Huseyin Atakan
AU - Goldfarb, Michael
N1 - Funding Information:
Manuscript received February 23, 2011; revised May 16, 2011; accepted October 04, 2011. Date of publication December 12, 2011; date of current version January 25, 2012. This work was supported in part by the National Institutes of Health under Grant 1R21 HD068753-01.
PY - 2012/1
Y1 - 2012/1
N2 - This paper presents the design and preliminary experimental validation of a multigrasp myoelectric controller. The described method enables direct and proportional control of multigrasp prosthetic hand motion among nine characteristic postures using two surface electromyography electrodes. To assess the efficacy of the control method, five nonamputee subjects utilized the multigrasp myoelectric controller to command the motion of a virtual prosthesis between random sequences of target hand postures in a series of experimental trials. For comparison, the same subjects also utilized a data glove, worn on their native hand, to command the motion of the virtual prosthesis for similar sequences of target postures during each trial. The time required to transition from posture to posture and the percentage of correctly completed transitions were evaluated to characterize the ability to control the virtual prosthesis using each method. The average overall transition times across all subjects were found to be 1.49 and 0.81 s for the multigrasp myoelectric controller and the native hand, respectively. The average transition completion rates for both were found to be the same (99.2%). Supplemental videos demonstrate the virtual prosthesis experiments, as well as a preliminary hardware implementation.
AB - This paper presents the design and preliminary experimental validation of a multigrasp myoelectric controller. The described method enables direct and proportional control of multigrasp prosthetic hand motion among nine characteristic postures using two surface electromyography electrodes. To assess the efficacy of the control method, five nonamputee subjects utilized the multigrasp myoelectric controller to command the motion of a virtual prosthesis between random sequences of target hand postures in a series of experimental trials. For comparison, the same subjects also utilized a data glove, worn on their native hand, to command the motion of the virtual prosthesis for similar sequences of target postures during each trial. The time required to transition from posture to posture and the percentage of correctly completed transitions were evaluated to characterize the ability to control the virtual prosthesis using each method. The average overall transition times across all subjects were found to be 1.49 and 0.81 s for the multigrasp myoelectric controller and the native hand, respectively. The average transition completion rates for both were found to be the same (99.2%). Supplemental videos demonstrate the virtual prosthesis experiments, as well as a preliminary hardware implementation.
KW - Biomechatronics
KW - electromyography (EMG)
KW - multigrasp prosthesis
KW - myoelectric control
KW - transradial prosthesis
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U2 - 10.1109/TNSRE.2011.2175488
DO - 10.1109/TNSRE.2011.2175488
M3 - Article
C2 - 22180515
AN - SCOPUS:84856484972
VL - 20
SP - 58
EP - 67
JO - IEEE Transactions on Neural Systems and Rehabilitation Engineering
JF - IEEE Transactions on Neural Systems and Rehabilitation Engineering
SN - 1534-4320
IS - 1
M1 - 6101579
ER -