| Title: | EEG channel and feature investigation in binary and multiple motor imagery task predictions |
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| Authors: | ID Degirmenci, Murside (Author)
ID Yuce, Yilmaz Kemal (Author)
ID Perc, Matjaž (Author)
ID Isler, Yalcin (Author) |
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| Files: |  RAZ_Degirmenci_Murside_2024.pdf (859,70 KB)
MD5: 334CAC8F0961C56C6695A27ACE5B31DE
 https://doi.org/10.3389/fnhum.2024.1525139
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| Language: | English |
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| Work type: | Scientific work |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FNM - Faculty of Natural Sciences and Mathematics
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| Keywords: | brain-computer interfaces, electroencephalogram, feature and channel investigation, feature selection, machine learning, motor imagery task classification |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 08.11.2024 |
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| Article acceptance date: | 26.11.2024 |
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| Publication date: | 17.12.2024 |
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| Publisher: | Frontiers Research Foundation |
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| Year of publishing: | 2024 |
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| Number of pages: | 24 str. |
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| Numbering: | Letn. 18, št. članka 1525139 |
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| PID: | 20.500.12556/DKUM-91411  |
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| UDC: | 53:004.85 |
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| ISSN on article: | 1662-5161 |
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| COBISS.SI-ID: | 219857923 |
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| DOI: | 10.3389/fnhum.2024.1525139 |
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| Publication date in DKUM: | 19.12.2024 |
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| Views: | 0 |
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| Downloads: | 5 |
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| Metadata: |    |
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| Categories: | Misc.
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