A Fast, Open EEG Classification Framework Based on Feature Compression and Channel Ranking

Superior feature extraction, channel selection and classification methods are essential for designing electroencephalography (EEG) classification frameworks. However, the performance of most frameworks is limited by their improper channel selection methods and too specifical design, leading to high...

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Dettagli Bibliografici
Pubblicato in:Front Neurosci
Autori principali: Han, Jiuqi, Zhao, Yuwei, Sun, Hongji, Chen, Jiayun, Ke, Ang, Xu, Gesen, Zhang, Hualiang, Zhou, Jin, Wang, Changyong
Natura: Artigo
Lingua:Inglês
Pubblicazione: Frontiers Media S.A. 2018
Soggetti:
Neuroscience
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC5911500/
https://ncbi.nlm.nih.gov/pubmed/29713262
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2018.00217
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