Super-Resolution for Improving EEG Spatial Resolution using Deep Convolutional Neural Network-Feasibility Study.

Kwon, Moonyoung; Han, Sangjun; Kim, Kiwoong; Jun, Sung Chan

Kwon, Moonyoung; Han, Sangjun; Kim, Kiwoong; Jun, Sung Chan.

Affiliation

Kwon M; School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju 61005, Korea.
Han S; AI Core Development Team, LG Electronics, Seoul 07796, Korea.
Kim K; Center for Biosignals, Korea Research institute of Science and Standards, Daejeon 34113, Korea.
Jun SC; Department of Medical Physics, University of Science and Technology, Daejeon 34113, Korea.

Sensors (Basel) ; 19(23)2019 Dec 03.

Article in En | MEDLINE | ID: mdl-31816868

Subject(s)

Brain/pathology; Electroencephalography; Neural Networks, Computer; Signal Processing, Computer-Assisted; Adult; Algorithms; Brain-Computer Interfaces; Computer Simulation; Feasibility Studies; Humans; Machine Learning; Normal Distribution

Key words

convolutional neural networks; electroencephalography; spatial resolution; super-resolution

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Signal Processing, Computer-Assisted / Brain / Neural Networks, Computer / Electroencephalography Limits: Adult / Humans Language: En Journal: Sensors (Basel) Year: 2019 Document type: Article Country of publication: Switzerland

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