Single-channel electroencephalography decomposition by detector-atom network and its pre-trained model

Signal decomposition techniques utilizing multi-channel spatial features are critical for analyzing, denoising, and classifying electroencephalography (EEG) signals. To facilitate the decomposition of signals recorded with limited channels, this paper presents a novel single-channel decomposition ap...

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Veröffentlicht in:	Journal of neuroscience methods 2024-11, p.110323, Article 110323
1. Verfasser:	Higashi, Hiroshi
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural network Dictionary learning Electroencephalography Signal decomposition
Online-Zugang:	Volltext
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