Recurrent and convolutional neural networks in classification of EEG signal for guided imagery and mental workload detection.
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| Title: | Recurrent and convolutional neural networks in classification of EEG signal for guided imagery and mental workload detection. |
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| Authors: | Postepski F; Department of Neuroinformatics and Biomedical Engineering, Institute of Computer Science, Maria Curie-Sklodowska University, Akademicka 9, 20-031, Lublin, Poland. filip.postepski@mail.umcs.pl., Wojcik GM; Department of Neuroinformatics and Biomedical Engineering, Institute of Computer Science, Maria Curie-Sklodowska University, Akademicka 9, 20-031, Lublin, Poland., Wrobel K; Department of Neuroinformatics and Biomedical Engineering, Institute of Computer Science, Maria Curie-Sklodowska University, Akademicka 9, 20-031, Lublin, Poland., Kawiak A; Department of Neuroinformatics and Biomedical Engineering, Institute of Computer Science, Maria Curie-Sklodowska University, Akademicka 9, 20-031, Lublin, Poland., Zemla K; Institute of Psychology, SWPS University, Chodakowska 19/31, Warsaw, 03-815, Poland., Sedek G; Institute of Psychology, SWPS University, Chodakowska 19/31, Warsaw, 03-815, Poland. |
| Source: | Scientific reports [Sci Rep] 2025 Mar 27; Vol. 15 (1), pp. 10521. Date of Electronic Publication: 2025 Mar 27. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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