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Clinical feasibility of motor hotspot localization based on electroencephalography using convolutional neural networks in stroke.

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Title: Clinical feasibility of motor hotspot localization based on electroencephalography using convolutional neural networks in stroke.
Authors: Choi GY; Research Institute of Data Science and AI, Hallym University, Chuncheon, Republic of Korea.; Department of AI Convergence, Hallym University, Chuncheon, Republic of Korea., Seo JK; Graduate School Innovation Team, Korea University, Seoul, Republic of Korea., Kim KT; Department of Rehabilitation Medicine, Keimyung University School of Medicine, Keimyung University Dongsan Hospital, Daegu, Republic of Korea., Chang WK; Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam-si, 13620, Republic of Korea., Yoon SW; Graduate School of Artificial Intelligence, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea., Paik NJ; Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam-si, 13620, Republic of Korea., Kim WS; Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam-si, 13620, Republic of Korea. wondol-1@snu.ac.kr., Hwang HJ; Departmet of Electronics and Information Engineering, Korea University, Sejong, 30019, Republic of Korea. hwanghj@korea.ac.kr.; Interdisciplinary Graduate Program for Artificial Intelligence Smart Convergence Technology, Korea University, Seoul, Republic of Korea. hwanghj@korea.ac.kr.
Source: Journal of neuroengineering and rehabilitation [J Neuroeng Rehabil] 2025 Sep 26; Vol. 22 (1), pp. 193. Date of Electronic Publication: 2025 Sep 26.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101232233 Publication Model: Electronic Cited Medium: Internet ISSN: 1743-0003 (Electronic) Linking ISSN: 17430003 NLM ISO Abbreviation: J Neuroeng Rehabil Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Clinical feasibility of motor hotspot localization based on electroencephalography using convolutional neural networks in stroke.
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  Data: <searchLink fieldCode="AU" term="%22Choi+GY%22">Choi GY</searchLink>; Research Institute of Data Science and AI, Hallym University, Chuncheon, Republic of Korea.; Department of AI Convergence, Hallym University, Chuncheon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Seo+JK%22">Seo JK</searchLink>; Graduate School Innovation Team, Korea University, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+KT%22">Kim KT</searchLink>; Department of Rehabilitation Medicine, Keimyung University School of Medicine, Keimyung University Dongsan Hospital, Daegu, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Chang+WK%22">Chang WK</searchLink>; Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam-si, 13620, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Yoon+SW%22">Yoon SW</searchLink>; Graduate School of Artificial Intelligence, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Paik+NJ%22">Paik NJ</searchLink>; Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam-si, 13620, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+WS%22">Kim WS</searchLink>; Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam-si, 13620, Republic of Korea. wondol-1@snu.ac.kr.<br /><searchLink fieldCode="AU" term="%22Hwang+HJ%22">Hwang HJ</searchLink>; Departmet of Electronics and Information Engineering, Korea University, Sejong, 30019, Republic of Korea. hwanghj@korea.ac.kr.; Interdisciplinary Graduate Program for Artificial Intelligence Smart Convergence Technology, Korea University, Seoul, Republic of Korea. hwanghj@korea.ac.kr.
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  Data: <searchLink fieldCode="JN" term="%22101232233%22">Journal of neuroengineering and rehabilitation</searchLink> [J Neuroeng Rehabil] 2025 Sep 26; Vol. 22 (1), pp. 193. <i>Date of Electronic Publication: </i>2025 Sep 26.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101232233 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1743-0003 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2217430003%22">17430003 </searchLink><i>NLM ISO Abbreviation: </i>J Neuroeng Rehabil <i>Subsets: </i>MEDLINE
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        Value: 10.1186/s12984-025-01736-3
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      – TitleFull: Clinical feasibility of motor hotspot localization based on electroencephalography using convolutional neural networks in stroke.
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              Text: 2025 Sep 26
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