DocumentCode
1825671
Title
Temporal alignment of electrocorticographic recordings using upper limb kinematics
Author
Talakoub, O. ; Marquez-Chin, Cesar ; Chen, Ru Shan ; Popovic, M.R. ; Wong, W.
Author_Institution
Dept. of Electr. Eng., Univ. of Toronto, Toronto, ON, Canada
fYear
2011
fDate
April 27 2011-May 1 2011
Firstpage
625
Lastpage
628
Abstract
The purpose of this study is to align electrocortico-graphic (ECoG) recordings using the limb kinematics in order to identify the neural activities attributed to the movement. This illustrates the underlying neural activity related to the upper limb movements. The functional relationship between the movement-related brain activity and kinematics of the limb would illustrate the neural processes that may be used to help restore mobility in individuals with paralysis. The identified neural processes may also help neuroscientists understand how the human nervous system works. Two subjects with subdural electrodes implanted over the primary motor cortex were asked to perform various motor tasks with the specific arm contralateral to the site of electrode implantation. ECoG signals and upper limb kinematics were recorded simultaneously while the participants were performing the movements. We obtained time-averaged and averaged spectrogram of the cortical activity of specific movements performed by the participants. We found a high correlation between the averaged signals and the upper limb kinematics.
Keywords
bioelectric phenomena; biomechanics; biomedical measurement; brain; neurophysiology; ECoG recording temporal alignment; cortical activity averaged spectrogram; cortical activity time averaged spectrogram; electrocorticography; functional relationship; human nervous system; implanted subdural electrodes; mobility restoration; movement related brain activity; neural activities; paralysed individuals; primary motor cortex; upper limb kinematics; upper limb movements; Brain; Electrodes; Humans; Kinematics; Muscles; Spectrogram; Time frequency analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Engineering (NER), 2011 5th International IEEE/EMBS Conference on
Conference_Location
Cancun
ISSN
1948-3546
Print_ISBN
978-1-4244-4140-2
Type
conf
DOI
10.1109/NER.2011.5910626
Filename
5910626
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