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
Link To Document :
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