TY - JOUR
T1 - Decoding onset and direction of movements using electrocorticographic (ECoG) signals in humans
AU - Wang, Zuoguan
AU - Gunduz, Aysegul
AU - Brunner, Peter
AU - Ritaccio, Anthony L.
AU - Ji, Qiang
AU - Schalk, Gerwin
PY - 2012/6/28
Y1 - 2012/6/28
N2 - Communication of intent usually requires motor function. This requirement can be limiting when a person is engaged in a task, or prohibitive for some people suffering from neuromuscular disorders. Determining a person's intent, e.g., where and when to move, from brain signals rather than from muscles would have important applications in clinical or other domains. For example, detection of the onset and direction of intended movements may provide the basis for restoration of simple grasping function in people with chronic stroke, or could be used to optimize a user's interaction with the surrounding environment. Detecting the onset and direction of actual movements are a first step in this direction. In this study, we demonstrate that we can detect the onset of intended movements and their direction using electrocorticographic (ECoG) signals recorded from the surface of the cortex in humans. We also demonstrate in a simulation that the information encoded in ECoG about these movements may improve performance in a targeting task. In summary, the results in this paper suggest that detection of intended movement is possible, and may serve useful functions. Copy; 2012 Wang, Gunduz, Brunner, Ritaccio, Ji and Schalk.
AB - Communication of intent usually requires motor function. This requirement can be limiting when a person is engaged in a task, or prohibitive for some people suffering from neuromuscular disorders. Determining a person's intent, e.g., where and when to move, from brain signals rather than from muscles would have important applications in clinical or other domains. For example, detection of the onset and direction of intended movements may provide the basis for restoration of simple grasping function in people with chronic stroke, or could be used to optimize a user's interaction with the surrounding environment. Detecting the onset and direction of actual movements are a first step in this direction. In this study, we demonstrate that we can detect the onset of intended movements and their direction using electrocorticographic (ECoG) signals recorded from the surface of the cortex in humans. We also demonstrate in a simulation that the information encoded in ECoG about these movements may improve performance in a targeting task. In summary, the results in this paper suggest that detection of intended movement is possible, and may serve useful functions. Copy; 2012 Wang, Gunduz, Brunner, Ritaccio, Ji and Schalk.
UR - http://www.scopus.com/inward/record.url?scp=84875557691&partnerID=8YFLogxK
U2 - 10.3389/fneng.2012.00015
DO - 10.3389/fneng.2012.00015
M3 - Article
C2 - 22891058
AN - SCOPUS:84875557691
JO - Frontiers in Neuroengineering
JF - Frontiers in Neuroengineering
SN - 1662-6443
IS - JUNE
ER -