EEG dataset of consumer- and research-grade systems.
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| Title: | EEG dataset of consumer- and research-grade systems. |
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| Authors: | Lee Y; Department of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea., Gwon D; Department of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea., Kim K; School of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea., Park S; School of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea., Sohn S; School of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea., Choi M; School of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea., Choi M; Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea., Bae JH; Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea.; Aging Convergence Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Republic of Korea., Ahn M; Department of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea. minkyuahn@handong.edu.; School of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea. minkyuahn@handong.edu. |
| Source: | Scientific data [Sci Data] 2026 Mar 05; Vol. 13 (1). Date of Electronic Publication: 2026 Mar 05. |
| Publication Type: | Journal Article; Dataset |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101640192 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4463 (Electronic) Linking ISSN: 20524463 NLM ISO Abbreviation: Sci Data Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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