EEG source analysis of data from paralysed subjects
作者： Carmen A. Carabali , John O. Willoughby , Sean P. Fitzgibbon , Tyler Grummett , Trent Lewis
DOI: 10.1117/12.2209412
关键词:
摘要: One of the limitations Encephalography (EEG) data is its quality, as it usually contaminated with electric signal from muscle. This research intends to study results two EEG source analysis methods applied scalp recordings taken in paralysis and normal conditions during performance a cognitive task. The aim determinate which types are appropriate for dealing containing myogenic components. used six subjects while performing different tasks including oddball task object this research. were pre-processed by filtering correcting artefact, then, epochs one second long targets distractors extracted. Distributed was performed BESA Research 6.0, using information literature, 9 ideal locations dipoles identified. nine perform discrete analysis, fitting them averaged obtaining waveforms. statistically analysed comparing outcomes before after paralysed. Finally, frequency better explain results. findings that distributed could produce confounded signals, conversely, statistical showed method help muscle electrical signal.
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dissem.in 参考文章(16)
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