Deep learning-based real-time seizure detection and multi-seizure classification on pediatric EEG.
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| Title: | Deep learning-based real-time seizure detection and multi-seizure classification on pediatric EEG. |
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| Authors: | Jeong H; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States., Lee K; Graduate School of AI, Korea Advanced Institute of Science and Technology, Seoul, Republic of Korea.; AITRICS, Seoul, Republic of Korea., Kim S; The Cooper Union for the Advancement of Science and Art, New York, NY, United States., Kang HC; Division of Pediatric Neurology, Department of Pediatrics, Severance Children's Hospital, Epilepsy Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea., Yang D; Division of Pediatric Neurology, Department of Pediatrics, Severance Children's Hospital, Epilepsy Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.; Division of Pediatric Neurology, Department of Pediatrics, Korea University College of Medicine, Seoul, Republic of Korea. |
| Source: | Frontiers in neurology [Front Neurol] 2026 Feb 23; Vol. 17, pp. 1726258. Date of Electronic Publication: 2026 Feb 23 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101546899 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2295 (Print) Linking ISSN: 16642295 NLM ISO Abbreviation: Front Neurol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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