Effect of clinical parameters on the control of myoelectric robotic prosthetic hands
Manfredo Atzori, PhD, et al.
Amputation of the upper limb is one of the most
severely impairing injuries. Surface electromyography
is a promising method to naturally control noninvasive,
dexterous, robotic prosthetic hands. The
scientific literature proved that the electrical activity
of the remnant muscles can be used to recognize
a few hand movements performed by subjects with
transradial amputation. However the effect of clinical
parameters related to the amputation has not been
analyzed thoroughly. We show that relationships between
several clinical parameters and robotic hand
control capabilities exist, thus laying the foundation
for innovations in neuroscience and understanding
amputation-related clinical parameters, surgery procedures,
and prosthetics.
http://dx.doi.org/10.1682/JRRD.2014.09.0218
Volume 53 Number 3, 2016
Pages 345 — 358
View HTML ¦ View PDF ¦ Contents Vol. 53, No.3
This article and any supplementary material should be cited as follows:
Atzori M, Gijsberts A, Castellini C, Caputo B, Hager AM, Elsig S, Giatsidis G, Bassetto F, Müller H. Effect of clinical parameters on the control of myoelectric robotic prosthetic hands. J Rehabil Res Dev. 2016;53(3):345–58.
http://dx.doi.org/10.1682/JRRD.2014.09.0218
Atzori M, Gijsberts A, Castellini C, Caputo B, Hager AM, Elsig S, Giatsidis G, Bassetto F, Müller H. Effect of clinical parameters on the control of myoelectric robotic prosthetic hands. J Rehabil Res Dev. 2016;53(3):345–58.
http://dx.doi.org/10.1682/JRRD.2014.09.0218
ORCID: Manfredo Atzori, PhD: 0000-0001-5397-2063; Claudio Castellini, PhD: 0000-0002-7346-2180; Barbara Caputo, PhD: 0000-0001-7169-0158; Anne-Gabrielle Mittaz Hager, PhD: 0000-0001-9461-2937; Simone Elsig: 0000-0003-2364-1671; Franco Bassetto, MD: 0000-0003-4105-8252; Henning Müller, PhD: 0000-0001-6800-9878
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