Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Eric W. Lindberg"'
Autor:
Aparna Singh, Jon Gaide, Saad Hameed, Goran Tomic, Jongmin Lee, Murad M. Alqadi, Emily M. Mugler, Marc W. Slutzky, Katherine Dalzotto, Elizabeth Robinson, Tyler Jacobson, Eric W. Lindberg, Camila Limoli
Publikováno v:
Neurorehabilitation and Neural Repair. 33:284-295
Background. Abnormal muscle co-activation contributes to impairment after stroke. We developed a myoelectric computer interface (MyoCI) training paradigm to reduce abnormal co-activation. MyoCI provides intuitive feedback about muscle activation patt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ab3c754b2baebd78e8fe68f2db9f691
https://doi.org/10.1177/1545968319834903
https://doi.org/10.1177/1545968319834903
Autor:
Nicholas A. Sachs, Marc W. Slutzky, Brian M. London, Lee E. Miller, Eric W. Lindberg, Ian H. Stevenson, Konrad P. Kording, Jacob Reimer, Nicholas G. Hatsopoulos, Anil Cherian
Publikováno v:
Journal of Neurophysiology. 106:764-774
In systems neuroscience, neural activity that represents movements or sensory stimuli is often characterized by spatial tuning curves that may change in response to training, attention, altered mechanics, or the passage of time. A vital step in deter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53c9bd0fb4ce3c2b6d0fce15f37784dd
https://doi.org/10.1152/jn.00626.2010
https://doi.org/10.1152/jn.00626.2010
Publikováno v:
2011 5th International IEEE/EMBS Conference on Neural Engineering.
Brain-machine interfaces (BMIs) have the potential to restore movement to people with paralyzed limbs by controlling functional electrical stimulation (FES) of paralyzed muscles. This concept recently was put into practice in monkeys using spikes to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12b50967dab00a8af7a76e41dbd438e0
https://doi.org/10.1109/ner.2011.5910541
https://doi.org/10.1109/ner.2011.5910541
Publikováno v:
Journal of Neural Engineering. 9:046006
The recent explosion of interest in brain-machine interfaces (BMIs) has spurred research into choosing the optimal input signal source for a desired application. The signals with highest bandwidth--single neuron action potentials or spikes--typically
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::786c92c68179cd33cd766662b7df9c9f
https://doi.org/10.1088/1741-2560/9/4/046006
https://doi.org/10.1088/1741-2560/9/4/046006
Publikováno v:
Journal of Neural Engineering. 8:036013
Brain-machine interfaces (BMIs) use signals from the brain to control a device such as a computer cursor. Various types of signals have been used as BMI inputs, from single-unit action potentials to scalp potentials. Recently, intermediate-level sign
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fd57758533e6d297a02356dbb0eceaf
https://doi.org/10.1088/1741-2560/8/3/036013
https://doi.org/10.1088/1741-2560/8/3/036013