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A muscular synergy is a theory suggesting that the central nervous system uses few commands to activate a group of muscles to produce a given movement. Here, we investigate how a muscle synergy extracted from a single muscle can be at the origin of different signals which could facilitate the control of modern upper limb myoelectric prostheses with many degrees of freedom. Five pairs of surface electrodes were positioned across the biceps of 12 normal subjects and electromyographic (EMG) signals were collected while their upper limbs were in eight different static postures. Those signals were used to move, within a virtual cube, a small red sphere toward different targets. With three muscular synergies extracted from the five EMG signals, a classifier was trained to identify which synergy pattern was associated with a given static posture. Later, when a posture was recognized, the result was a displacement of a red sphere toward a corner of a virtual cube presented on a computer screen. The axes of the cube were assigned to the shoulder, elbow and wrist joint while each of its the corners was associated with a static posture. The goal for subjects was to reach, one at a time, the four targets positioned at different locations and heights in the virtual cube with different sequences of postures. The results of 12 normal subjects indicate that with the muscular synergies of the biceps brachii, it was possible, but not easy for an untrained person, to reach a target on each trial. Thus, as a proof of concept, we show that features of the biceps muscular synergy have the potential to facilitate the control of upper limb myoelectric prostheses. To our knowledge, this has never been shown before.
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http://dx.doi.org/10.3389/fnbot.2019.00100 | DOI Listing |
Surgery
August 2025
Department of Visceral Surgery, Lausanne University Hospital (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland.
J Dent
October 2025
Affiliate Assistant Professor, Graduate Prosthodontics, Department of Restorative Dentistry, School of Dentistry, University of Washington, Seattle, WA, USA; Faculty and Director of Research and Digital Dentistry, Kois Center, Seattle, WA, USA; Adjunct Professor, Department of Prosthodontics, School
Objectives: The aim of this in vitro study was to evaluate the impact of extraoral scan body (ESB) design on the scanning accuracy of a digitized facebow fork along with the attached ESB, using four intraoral scanners (IOS) and one extraoral desktop scanner (EOS), with and without the assistance of the available integrated artificial intelligence (AI) tools.
Methods: One facebow fork and 4 ESBs were additively manufactured. The ESB designs included three different geometries: cube, ball, and rectangle.
Sci Rep
March 2025
Department of Surgery, University at Buffalo, Buffalo, NY, 14203, USA.
Artificial intelligence (AI) is transforming the landscape of medicine, including surgical science and practice. The evolution of AI from rule-based systems to advanced machine learning and deep learning algorithms has opened new avenues for its application in metabolic and bariatric surgery (MBS). AI has the potential to enhance various aspects of MBS, including education and training, decision-making, procedure planning, cost and time efficiency, optimization of surgical techniques, outcome and complication prediction, patient education, and access to care.
View Article and Find Full Text PDFIEEE Trans Neural Syst Rehabil Eng
May 2025
Traditional steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) systems offer stability and simplicity in evoking brain responses, but their practical utility is limited by immovable screens for visual stimuli. Virtual Reality (VR) technology provides a more natural and immersive environment to evoke SSVEP signals. However, the design methods for visual stimuli in VR environments remain to be explored, especially under the stereoscopic vision conditions.
View Article and Find Full Text PDFIEEE Trans Vis Comput Graph
September 2025
The manipulation of virtual 3D objects is essential for a variety of handheld AR scenarios. However, the mapping of commonly supported 2D touch gestures to manipulations in 3D space is not trivial. As an alternative, our work explores the use of haptic props that facilitate direct manipulation of virtual 3D objects with 6 degrees of freedom.
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