20.500.12556/DiRROS-16427 Optimal sensor set for decoding motor imagery from EEG Brain–computer interfaces (BCIs) have the potential to enable individuals to interact with devices by detecting their intention from brain activity. A common approach to BCI is to decode movement intention from motor imagery (MI), the mental representation of an overt action. However, research-grade electroencephalogram (EEG) acquisition devices with a high number of sensors are typically necessary to achieve the spatial resolution required for reliable analysis. This entails high monetary and computational costs that make these approaches impractical for everyday use. This study investigates the trade-off between accuracy and complexity when decoding MI from fewer EEG sensors. Data were acquired from 15 healthy participants performing MI with a 64-channel research-grade EEG device. After performing a quality assessment by identifying visually evoked potentials, several decoding pipelines were trained on these data using different subsets of electrode locations. No significant differences (p = [0.18–0.91]) in the average decoding accuracy were found when using a reduced number of sensors. Therefore, decoding MI from a limited number of sensors is feasible. Hence, using commercial sensor devices for this purpose should be attainable, reducing both monetary and computational costs for BCI control. brain-computer interface motor imagery feature reduction electroencephalogram machine learning vmesnik možgani-računalniki gibalne predstave true false true Angleški jezik Slovenski jezik © 2023 by the authors. Neznano 2023-04-03 15:32:16 2023-04-03 15:32:19 2024-12-11 13:38:43 0000-00-00 00:00:00 2023 0 0 Nasl. z nasl. zaslona; Soavtorji: Fakhreddine Ghaffari, Olivier Romain, Bram Vanderborght, Uros Marusic, Sidney Grosprêtre, Ann Nowé, Romain Meeusen, Kevin De Pauw; Opis vira z dne 3. 4. 2023; 15 str. iss. 7, [article no.] 4438 Vol. 13 2023 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 2023-03-29 2023-03-31 616.8-073.97:796.012 2076-3417 10.3390/app13074438 147627523 ZRSKP_MarusicU_147627523.pdf ZRSKP_MarusicU_147627523.pdf 1 7D3288A00BE427365C887AB0134A46F8 45f1eff1035e9897617d954bae014687bbff2e8339e3bb14c9398d5da2edc3ca eb9243af-d21b-11ed-b359-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=22109 https://www.mdpi.com/2076-3417/13/7/4438 0 93d6efb9-d21b-11ed-b359-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=22108 Znanstveno-raziskovalno središče Koper / Centro di Ricerche Scientifiche Capodistria 0 0 0