Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Bernhard Graimann"'
Autor:
Anthony M. J. Bull, Dario Farina, Oskar C. Aszmann, Richard F. ff. Weir, Dustin J. Tyler, Silvestro Micera, Hilmar Bragi Janusson, Levi J. Hargrove, Bernhard Graimann, Ivan Vujaklija, Thorvaldur Ingvarsson, Thomas Stieglitz, Agnes Sturma, Klaus-Peter Hoffmann, He Helen Huang, Hans Dietl, Todd A. Kuiken, Rickard Brånemark, Kristleifur Kristjánsson
Most prosthetic limbs can autonomously move with dexterity, yet they are not perceived by the user as belonging to their own body. Robotic limbs can convey information about the environment with higher precision than biological limbs, but their actua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::552655d4eba4cfa2c99ae465b2c7e3ae
http://hdl.handle.net/10044/1/90813
http://hdl.handle.net/10044/1/90813
Autor:
Nan Ge, Dario Farina, Sabrina Lemling, Marko Markovic, Alessandro Marco De Nunzio, Deborah Falla, Bernhard Graimann, Meike A. Schweisfurth, Strahinja Dosen
Publikováno v:
Experimental Brain Research
Grasping is a complex task routinely performed in an anticipatory (feedforward) manner, where sensory feedback is responsible for learning and updating the internal model of grasp dynamics. This study aims at evaluating whether providing a proportion
Autor:
Dario, Farina, Ivan, Vujaklija, Rickard, Brånemark, Anthony M J, Bull, Hans, Dietl, Bernhard, Graimann, Levi J, Hargrove, Klaus-Peter, Hoffmann, He Helen, Huang, Thorvaldur, Ingvarsson, Hilmar Bragi, Janusson, Kristleifur, Kristjánsson, Todd, Kuiken, Silvestro, Micera, Thomas, Stieglitz, Agnes, Sturma, Dustin, Tyler, Richard F Ff, Weir, Oskar C, Aszmann
Publikováno v:
Nature biomedical engineering.
Most prosthetic limbs can autonomously move with dexterity, yet they are not perceived by the user as belonging to their own body. Robotic limbs can convey information about the environment with higher precision than biological limbs, but their actua
Autor:
Nir Menachemi, Norma Schoenherr, André Martinuzzi, Minna Halme, Markus Hametner, Florian Findler, Lydia Montadon, Bernhard Graimann
Publikováno v:
Academy of Management Proceedings. 2018(1)
Innovation has been hailed as essential to maintaining competitive advantage (for organizations), growth (for economies) and progress (for society). At the same time, innovation, especially in the context of commercial enterprise, has always been a d
Publikováno v:
Journal of neural engineering. 14(3)
Objective: Providing sensory feedback to the user of the prosthesis is an important challenge . The common approach is to use tactile stimulation, which is easy to implement but requires training and has limited information bandwidth. In this study,
Autor:
Ning Jiang, Oskar C. Aszmann, Bernhard Graimann, Dario Farina, Hans Dietl, Ales Holobar, Hubertus Rehbaum
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Despite not recording directly from neural cells, the surface electromyogram (EMG) signal contains information on the neural drive to muscles, i.e., the spike trains of motor neurons. Using this property, myoelectric control consists of the recording
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering. 22:501-510
We propose an approach for online simultaneous and proportional myoelectric control of two degrees-of-freedom (DoF) of the wrist, using surface electromyographic signals. The method is based on the nonnegative matrix factorization (NMF) of the wrist
Autor:
Dario Farina, Bernhard Graimann, Ivan Vujaklija, Ning Jiang, Oskar C. Aszmann, Sebastian Amsuess, Silvia Muceli
Publikováno v:
Biosystems & Biorobotics ISBN: 9783319466682
We review recent studies that aimed at designing an intuitive and robust myoelectric control system for transradial amputees. The methods developed assume that the forearm muscles are controlled in a synergistic manner and capture this synergistic st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68621d36eb91295e41bd7ace7552ed11
https://doi.org/10.1007/978-3-319-46669-9_158
https://doi.org/10.1007/978-3-319-46669-9_158
Autor:
Meike A. Schweisfurth, F Petzke, A.M. De Nunzio, Dario Farina, T Weiss, Oskar C. Aszmann, M Siebertz, Herta Flor, Bernhard Graimann, Janne M. Hahne, Deborah Falla, P Dechent, K Gödecke, Nan Ge
Publikováno v:
Journal of Neural Engineering. 15:066022
Objective The causes for the disabling condition of phantom limb pain (PLP), affecting 85% of amputees, are so far unknown, with few effective treatments available. Sensory feedback based strategies to normalize the motor commands to control the phan
Publikováno v:
IEEE Transactions on Biomedical Engineering. 59:1436-1443
Pattern recognition techniques have been applied to extract information from electromyographic (EMG) signals that can be used to control electrical powered hand prostheses. In this paper, optimized spatial filters that enhance separation properties o