Decoding human swallowing via electroencephalography: a state-of-the-art review.
about
Deep belief networks for electroencephalography: A review of recent contributions and future outlooks.Functional connectivity patterns of normal human swallowing: difference among various viscosity swallows in normal and chin-tuck head positions.Differences in brain networks during consecutive swallows detected using an optimized vertex-frequency algorithm.Influence of attention and bolus volume on brain organization during swallowing.A fast algorithm for vertex-frequency representations of signals on graphs.Spatiotemporal characteristics of the pharyngeal event-related potential in healthy subjects and older patients with oropharyngeal dysfunction.
P2860
Decoding human swallowing via electroencephalography: a state-of-the-art review.
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2015年の論文
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2015年論文
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2015年論文
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2015年論文
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name
Decoding human swallowing via electroencephalography: a state-of-the-art review.
@ast
Decoding human swallowing via electroencephalography: a state-of-the-art review.
@en
type
label
Decoding human swallowing via electroencephalography: a state-of-the-art review.
@ast
Decoding human swallowing via electroencephalography: a state-of-the-art review.
@en
prefLabel
Decoding human swallowing via electroencephalography: a state-of-the-art review.
@ast
Decoding human swallowing via electroencephalography: a state-of-the-art review.
@en
P2093
P2860
P356
P1476
Decoding human swallowing via electroencephalography: a state-of-the-art review.
@en
P2093
Ervin Sejdić
Iva Jestrović
James L Coyle
P2860
P304
P356
10.1088/1741-2560/12/5/051001
P577
2015-09-15T00:00:00Z