Seizure detection using ultra-long-term subcutaneous electroencephalography: A deep learning CNN-BiLSTM approach.
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| Title: | Seizure detection using ultra-long-term subcutaneous electroencephalography: A deep learning CNN-BiLSTM approach. |
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| Authors: | Park S; Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA., Clark JS; Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA., Viana PF; Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK.; Epilepsy Centre, King's College Hospital NHS Foundation Trust, London, UK.; Centro de Estudos Egas Moniz, Faculty of Medicine, University of Lisbon, Lisbon, Portugal., Cui J; Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA.; Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, Minnesota, USA., Duun-Henriksen J; UNEEG, Lillerod, Denmark., Mandrekar J; Department of Biostatistics, Mayo Clinic, Rochester, Minnesota, USA., Gregg N; Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA., Kremen V; Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA.; Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, Minnesota, USA., Worrell GA; Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA.; Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, Minnesota, USA., Richardson MP; Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK.; Epilepsy Centre, King's College Hospital NHS Foundation Trust, London, UK., Brinkmann BH; Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA.; Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, Minnesota, USA. |
| Source: | Epilepsia [Epilepsia] 2026 Jan; Vol. 67 (1), pp. 437-447. Date of Electronic Publication: 2025 Oct 07. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Blackwell Science Country of Publication: United States NLM ID: 2983306R Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1528-1167 (Electronic) Linking ISSN: 00139580 NLM ISO Abbreviation: Epilepsia Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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