First-in-man demonstration of a fully implanted myoelectric sensors system to control an advanced electromechanical prosthetic hand.
First-in-man demonstration of a fully implanted myoelectric sensors system to control an advanced electromechanical prosthetic hand.
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DOI:
10.1016/j.jneumeth.2014.07.016
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发表时间:
2015-04-15
影响因子:
3
通讯作者:
Hankin, David
中科院分区:
文献类型:
--
作者:
Pasquina, Paul F.;Evangelista, Melissa;Carvalho, A. J.;Lockhart, Joseph;Griffin, Sarah;Nanos, George;McKay, Patricia;Hansen, Morten;Ipsen, Derek;Vandersea, James;Butkus, Josef;Miller, Matthew;Murphy, Ian;Hankin, David
Advanced motorized prosthetic devices are currently controlled by EMG signals generated by residual muscles and recorded by surface electrodes on the skin. These surface recordings are often inconsistent and unreliable, leading to high prosthetic abandonment rates for individuals with upper limb amputation. Surface electrodes are limited because of poor skin contact, socket rotation, residual limb sweating, and their ability to only record signals from superficial muscles, whose function frequently does not relate to the intended prosthetic function. More sophisticated prosthetic devices require a stable and reliable interface between the user and robotic hand to improve upper limb prosthetic function. Implantable Myoelectric Sensors (IMES®) are small electrodes intended to detect and wirelessly transmit EMG signals to an electromechanical prosthetic hand via an electromagnetic coil built into the prosthetic socket. This system is designed to simultaneously capture EMG signals from multiple residual limb muscles, allowing the natural control of multiple degrees of freedom simultaneously. We report the status of the first FDA-approved clinical trial of the IMES® System. This study is currently in progress, limiting reporting to only preliminary results. Our first subject has reported the ability to accomplish a greater variety and complexity of tasks in his everyday life compared to what could be achieved with his previous myoelectric prosthesis. The interim results of this study indicate the feasibility of utilizing IMES® technology to reliably sense and wirelessly transmit EMG signals from residual muscles to intuitively control a three degree-of-freedom prosthetic arm.
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DOI:
10.1016/j.apmr.2007.11.005
发表时间:
2008-03-01
影响因子:
4.3
作者:
Ziegler-Graham, Kathryn;MacKenzie, Ellen J.;Brookmeyer, Ron
通讯作者:
Brookmeyer, Ron
影响因子:
1.5
作者:
Biddiss, Elaine A.;Chau, Tom T.
通讯作者:
Chau, Tom T.
DOI:
10.1109/tbme.2008.2005942
发表时间:
2009-01
期刊:
IEEE transactions on bio-medical engineering
影响因子:
--
作者:
Weir RF;Troyk PR;DeMichele GA;Kerns DA;Schorsch JF;Maas H
通讯作者:
Maas H
影响因子:
120.7
作者:
Kuiken, Todd A.;Li, Guanglin;Lock, Blair A.;Lipschutz, Robert D.;Miller, Laura A.;Stubblefield, Kathy A.;Englehart, Kevin B.
通讯作者:
Englehart, Kevin B.
影响因子:
4.6
作者:
Lowery, Madeleine M.;Weir, Richard E. ff.;Kuiken, Todd A.
通讯作者:
Kuiken, Todd A.