DocumentCode :
2944025
Title :
Decoding speed of imagined hand movement from EEG
Author :
Yuan, Han ; Perdoni, Christopher ; He, Bin
Author_Institution :
Dept. of Biomed. Eng., Univ. of Minnesota, Minneapolis, MN, USA
fYear :
2010
fDate :
Aug. 31 2010-Sept. 4 2010
Firstpage :
142
Lastpage :
145
Abstract :
The kinematics of hand movement have been reported to be encoded in neural activities recorded at the primary motor cortex accompanying or immediately preceding the movement. In our earlier study, we demonstrated that the speed of imagined hand movements can be represented in the noninvasive EEG recordings and continuously decoded. In the present work, we aimed to systematically examine the spectral-temporal dynamics of imagination-related speed embedded in multiple frequency bands of EEG activity, including the alpha, beta and gamma bands and search for the optimal speed decoding for movement imagination.
Keywords :
biomechanics; electroencephalography; kinematics; medical signal processing; EEG; alpha band; beta band; gamma band; hand movement kinematics; movement imagination; multiple frequency bands; neural activities; optimal speed decoding; primary motor cortex; spectral-temporal dynamics; Brain modeling; Decoding; Electrodes; Electroencephalography; Encoding; Frequency modulation; Time frequency analysis; Electroencephalography; Hand; Hand Strength; Humans; Imagination; Motor Cortex; Movement; Psychomotor Performance; Signal Processing, Computer-Assisted;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4123-5
Type :
conf
DOI :
10.1109/IEMBS.2010.5627414
Filename :
5627414
Link To Document :
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