Abstract:
Contamination of the electroencephalogram (EEG) by artifacts related to head movement is a major cause of reduced signal quality. This is a problem in both neuroscience a...Show MoreMetadata
Abstract:
Contamination of the electroencephalogram (EEG) by artifacts related to head movement is a major cause of reduced signal quality. This is a problem in both neuroscience and other uses of the EEG. To attempt to reduce the influence, on the EEG, of artifacts related to head movement, an accelerometer is placed on the head and independent component analysis is applied to attempt to separate artifacts which are statistically related to head movements. To evaluate the method, EEG and accelerometer measurements are made from 14 individuals with Cerebral palsy attempting to control a sensorimotor rhythm based brain-computer interface. Results show that the approach significantly reduces the influence of head movement related artifacts in the EEG.
Published in: IEEE Transactions on Neural Systems and Rehabilitation Engineering ( Volume: 21, Issue: 3, May 2013)
Institute for Knowledge Discovery, Laboratory of Brain-Computer Interfaces, Graz University of Technology, Graz, Austria
Ian Daly received the M.Eng. degree in computer science and the Ph.D. degree in cybernetics from the University of Reading, Reading, U.K. and has been a post-doctoral researcher in the Laboratory of Brain-Computer Interfaces, Graz University of Technology, Graz, Austria, since May 2011.
His research focuses on brain–computer interfaces, nonlinear dynamics, machine learning, signal processing, bio-signal analysis, meta-heur...Show More
Ian Daly received the M.Eng. degree in computer science and the Ph.D. degree in cybernetics from the University of Reading, Reading, U.K. and has been a post-doctoral researcher in the Laboratory of Brain-Computer Interfaces, Graz University of Technology, Graz, Austria, since May 2011.
His research focuses on brain–computer interfaces, nonlinear dynamics, machine learning, signal processing, bio-signal analysis, meta-heur...View more
Institute for Knowledge Discovery, Laboratory of Brain-Computer Interfaces, Graz University of Technology, Graz, Austria
Martin Billinger received the M.Sc. degree in electrical engineering from Graz University of Technology, Graz, Austria, where he has been working toward the Ph.D. degree in computer science in the Laboratory of Brain-Computer Interfaces, since November 2009.
His research interests are brain–computer interfaces, bio-signal processing, machine learning, mathematical modelling, and effective connectivity analysis in the EEG.
Martin Billinger received the M.Sc. degree in electrical engineering from Graz University of Technology, Graz, Austria, where he has been working toward the Ph.D. degree in computer science in the Laboratory of Brain-Computer Interfaces, since November 2009.
His research interests are brain–computer interfaces, bio-signal processing, machine learning, mathematical modelling, and effective connectivity analysis in the EEG.View more
Institute for Knowledge Discovery, Laboratory of Brain-Computer Interfaces, Graz University of Technology, Graz, Austria
Reinhold Scherer received the M.Sc. degree and the Ph.D. degree in computer science from Graz University of Technology, Graz, Austria, in 2001 and 2008, respectively. From 2008 to 2010 he was postdoctoral researcher and member of the Neural Systems and the Neurobotics Laboratories at the University of Washington, Seattle, WA, USA.
Since 2011, he is Assistant Professor at the Institute for Knowledge Discovery, BCI Lab, Graz...Show More
Reinhold Scherer received the M.Sc. degree and the Ph.D. degree in computer science from Graz University of Technology, Graz, Austria, in 2001 and 2008, respectively. From 2008 to 2010 he was postdoctoral researcher and member of the Neural Systems and the Neurobotics Laboratories at the University of Washington, Seattle, WA, USA.
Since 2011, he is Assistant Professor at the Institute for Knowledge Discovery, BCI Lab, Graz...View more
Institute for Knowledge Discovery, Laboratory of Brain-Computer Interfaces, Graz University of Technology, Graz, Austria
Gernot Müller-Putz received the Ph.D. degree in electrical engineering (“New Concepts in Brain-Computer Communication Use of Steady-State Somatosensory Evoked Potentials, User Training by Telesupport and Control of Functional Electrical Stimulation”) from Graz University of Technology, Graz, Austria, in 2004, and received the “venia docendi” for medical informatics (“Towards EEG-based Control of Neuroprosthetic Devices”) ...Show More
Gernot Müller-Putz received the Ph.D. degree in electrical engineering (“New Concepts in Brain-Computer Communication Use of Steady-State Somatosensory Evoked Potentials, User Training by Telesupport and Control of Functional Electrical Stimulation”) from Graz University of Technology, Graz, Austria, in 2004, and received the “venia docendi” for medical informatics (“Towards EEG-based Control of Neuroprosthetic Devices”) ...View more
Contents Institute for Knowledge Discovery, Laboratory of Brain-Computer Interfaces, Graz University of Technology, Graz, Austria
Ian Daly received the M.Eng. degree in computer science and the Ph.D. degree in cybernetics from the University of Reading, Reading, U.K. and has been a post-doctoral researcher in the Laboratory of Brain-Computer Interfaces, Graz University of Technology, Graz, Austria, since May 2011.
His research focuses on brain–computer interfaces, nonlinear dynamics, machine learning, signal processing, bio-signal analysis, meta-heuristic search techniques, and functional connectivity analysis in the EEG.
Ian Daly received the M.Eng. degree in computer science and the Ph.D. degree in cybernetics from the University of Reading, Reading, U.K. and has been a post-doctoral researcher in the Laboratory of Brain-Computer Interfaces, Graz University of Technology, Graz, Austria, since May 2011.
His research focuses on brain–computer interfaces, nonlinear dynamics, machine learning, signal processing, bio-signal analysis, meta-heuristic search techniques, and functional connectivity analysis in the EEG.View more
Institute for Knowledge Discovery, Laboratory of Brain-Computer Interfaces, Graz University of Technology, Graz, Austria
Martin Billinger received the M.Sc. degree in electrical engineering from Graz University of Technology, Graz, Austria, where he has been working toward the Ph.D. degree in computer science in the Laboratory of Brain-Computer Interfaces, since November 2009.
His research interests are brain–computer interfaces, bio-signal processing, machine learning, mathematical modelling, and effective connectivity analysis in the EEG.
Martin Billinger received the M.Sc. degree in electrical engineering from Graz University of Technology, Graz, Austria, where he has been working toward the Ph.D. degree in computer science in the Laboratory of Brain-Computer Interfaces, since November 2009.
His research interests are brain–computer interfaces, bio-signal processing, machine learning, mathematical modelling, and effective connectivity analysis in the EEG.View more
Institute for Knowledge Discovery, Laboratory of Brain-Computer Interfaces, Graz University of Technology, Graz, Austria
Reinhold Scherer received the M.Sc. degree and the Ph.D. degree in computer science from Graz University of Technology, Graz, Austria, in 2001 and 2008, respectively. From 2008 to 2010 he was postdoctoral researcher and member of the Neural Systems and the Neurobotics Laboratories at the University of Washington, Seattle, WA, USA.
Since 2011, he is Assistant Professor at the Institute for Knowledge Discovery, BCI Lab, Graz University of Technology, Graz, Austria, and member of the Institute for Neurological Rehabilitation and Research at the rehabilitation center Judendorf-Strassengel, Austria. His research interests include BCIs based on EEG and ECoG signals, statistical and adaptive signal processing and robotics-mediated rehabilitation.
Reinhold Scherer received the M.Sc. degree and the Ph.D. degree in computer science from Graz University of Technology, Graz, Austria, in 2001 and 2008, respectively. From 2008 to 2010 he was postdoctoral researcher and member of the Neural Systems and the Neurobotics Laboratories at the University of Washington, Seattle, WA, USA.
Since 2011, he is Assistant Professor at the Institute for Knowledge Discovery, BCI Lab, Graz University of Technology, Graz, Austria, and member of the Institute for Neurological Rehabilitation and Research at the rehabilitation center Judendorf-Strassengel, Austria. His research interests include BCIs based on EEG and ECoG signals, statistical and adaptive signal processing and robotics-mediated rehabilitation.View more
Institute for Knowledge Discovery, Laboratory of Brain-Computer Interfaces, Graz University of Technology, Graz, Austria
Gernot Müller-Putz received the Ph.D. degree in electrical engineering (“New Concepts in Brain-Computer Communication Use of Steady-State Somatosensory Evoked Potentials, User Training by Telesupport and Control of Functional Electrical Stimulation”) from Graz University of Technology, Graz, Austria, in 2004, and received the “venia docendi” for medical informatics (“Towards EEG-based Control of Neuroprosthetic Devices”) at the Faculty of Computer Science, Graz University of Technology, in 2008.
He is Head of the Institute for Knowledge Discovery, Graz University of Technology, Graz, Austria. He is also Head of the Laboratory for Brain–Computer Interfaces (BCI-Lab) at Graz University of Technology. Beginning in 2000, he worked on noninvasive electroencephalogram-based (EEG) brain–computer interfacing (BCI) for the control of neuroprosthetic devices at the Graz University of Technology. His research interests include EEG-based neuroprosthesis control, hybrid BCI systems, the human somatosensory system, and assistive technology.
Gernot Müller-Putz received the Ph.D. degree in electrical engineering (“New Concepts in Brain-Computer Communication Use of Steady-State Somatosensory Evoked Potentials, User Training by Telesupport and Control of Functional Electrical Stimulation”) from Graz University of Technology, Graz, Austria, in 2004, and received the “venia docendi” for medical informatics (“Towards EEG-based Control of Neuroprosthetic Devices”) at the Faculty of Computer Science, Graz University of Technology, in 2008.
He is Head of the Institute for Knowledge Discovery, Graz University of Technology, Graz, Austria. He is also Head of the Laboratory for Brain–Computer Interfaces (BCI-Lab) at Graz University of Technology. Beginning in 2000, he worked on noninvasive electroencephalogram-based (EEG) brain–computer interfacing (BCI) for the control of neuroprosthetic devices at the Graz University of Technology. His research interests include EEG-based neuroprosthesis control, hybrid BCI systems, the human somatosensory system, and assistive technology.View more
