A 3D-printed robot hand that is controlled by forearm muscle contractions. This can be used as a framework for low-cost myoelectric prostheses that significantly improves an amputee's quality of life.
We examined myoelectric controllability by asking subjects to control a virtual object on a computer screen in an attempt to match a virtual target. EMG from the tibialis anterior muscle in amputee and nondisabled (control) subjects altered the path of the virtual object trajectory by controlling the object's acceleration. We assessed virtual object tracking error during static and dynamic virtual target trials before and after practice sessions.
Brief description: That the robotic arm prosthesis lack of them.
Quid Pro Quo Running Time 82 minutes Written and Directed by Carlos Brooks.
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Upper Body Myoelectric Powered Prostheses
This project uses 3D-Printing technology to manufacture the prosthetic hand. High-torque DC servo motors were used as actuators for the bidirectional tendon system. An Arduino Uno Rev3 with IO expansion shield was used to generate the PWM signals and control servo angle of rotation. The Thalmic Labs Myo, an armband with electromyography (EMG) sensor and embedded ARM processor for pattern recognition, was used to distinguish which muscles in the forearm are innervated by the user. The classified EMG signals then serve as input stimulus that triggers a transition in the grasp/posture enacted by the 3D-printed robot hand.
reinnervation for improved myoelectric prosthesis control
This project goes beyond just making a cosmetic prosthetic hand. A myoelectric human-machine interface was implemented, i.e. the prosthesis is controlled by forearm muscle contractions. The functional prosthesis acts as a finite-state machine and the user can change the machine state (prosthetic hand finger positions) by intuitively contracting muscles in the proximal forearm or the remnant muscles in the case of a partial arm amputee. The InMoov Hand and Forearm Design by Gael Langevin were adopted as the prototype prosthesis design. Open-source libraries were utilized to interface the different project modules.
MYHAND - Myoelectric-Hand prosthesis with Afferent …
One way to implement nervous system input is through the use of myoelectric signals [5–6]. Using electrical signals from the muscles provides the potential to build controllers that yield a more natural and physiological control mode than traditional controllers that rely exclusively on kinematic and kinetic sensors. Many different upper-limb powered prostheses use myoelectric control, but widespread acceptance is limited. This is due to the high cost of the prostheses and the difficulty in providing precise position control needed in arms and hands with many degrees of freedom .