{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T09:54:32Z","timestamp":1781258072598,"version":"3.54.1"},"reference-count":52,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2023,4,21]],"date-time":"2023-04-21T00:00:00Z","timestamp":1682035200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Centro de Investigaci\u00f3n en Computaci\u00f3n\u2014Instituto Polit\u00e9cnico Nacional","award":["SIP\/1988\/DI\/DAI\/2022"],"award-info":[{"award-number":["SIP\/1988\/DI\/DAI\/2022"]}]},{"name":"Centro de Investigaci\u00f3n en Computaci\u00f3n\u2014Instituto Polit\u00e9cnico Nacional","award":["763527"],"award-info":[{"award-number":["763527"]}]},{"name":"Centro de Investigaci\u00f3n en Computaci\u00f3n\u2014Instituto Polit\u00e9cnico Nacional","award":["094\/2023"],"award-info":[{"award-number":["094\/2023"]}]},{"name":"Centro de Investigaci\u00f3n en Computaci\u00f3n\u2014Instituto Polit\u00e9cnico Nacional","award":["NUA 145790"],"award-info":[{"award-number":["NUA 145790"]}]},{"name":"the Mexican Council of Science and Technology CONACyT","award":["SIP\/1988\/DI\/DAI\/2022"],"award-info":[{"award-number":["SIP\/1988\/DI\/DAI\/2022"]}]},{"name":"the Mexican Council of Science and Technology CONACyT","award":["763527"],"award-info":[{"award-number":["763527"]}]},{"name":"the Mexican Council of Science and Technology CONACyT","award":["094\/2023"],"award-info":[{"award-number":["094\/2023"]}]},{"name":"the Mexican Council of Science and Technology CONACyT","award":["NUA 145790"],"award-info":[{"award-number":["NUA 145790"]}]},{"name":"University of Guanajuato CIIC (Convocatoria Institucional de Investigaci\u00f3n Cient\u00edfica, UG)","award":["SIP\/1988\/DI\/DAI\/2022"],"award-info":[{"award-number":["SIP\/1988\/DI\/DAI\/2022"]}]},{"name":"University of Guanajuato CIIC (Convocatoria Institucional de Investigaci\u00f3n Cient\u00edfica, UG)","award":["763527"],"award-info":[{"award-number":["763527"]}]},{"name":"University of Guanajuato CIIC (Convocatoria Institucional de Investigaci\u00f3n Cient\u00edfica, UG)","award":["094\/2023"],"award-info":[{"award-number":["094\/2023"]}]},{"name":"University of Guanajuato CIIC (Convocatoria Institucional de Investigaci\u00f3n Cient\u00edfica, UG)","award":["NUA 145790"],"award-info":[{"award-number":["NUA 145790"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Nowadays, Brain\u2013Computer Interfaces (BCIs) still captivate large interest because of multiple advantages offered in numerous domains, explicitly assisting people with motor disabilities in communicating with the surrounding environment. However, challenges of portability, instantaneous processing time, and accurate data processing remain for numerous BCI system setups. This work implements an embedded multi-tasks classifier based on motor imagery using the EEGNet network integrated into the NVIDIA Jetson TX2 card. Therefore, two strategies are developed to select the most discriminant channels. The former uses the accuracy based-classifier criterion, while the latter evaluates electrode mutual information to form discriminant channel subsets. Next, the EEGNet network is implemented to classify discriminant channel signals. Additionally, a cyclic learning algorithm is implemented at the software level to accelerate the model learning convergence and fully profit from the NJT2 hardware resources. Finally, motor imagery Electroencephalogram (EEG) signals provided by HaLT\u2019s public benchmark were used, in addition to the k-fold cross-validation method. Average accuracies of 83.7% and 81.3% were achieved by classifying EEG signals per subject and motor imagery task, respectively. Each task was processed with an average latency of 48.7 ms. This framework offers an alternative for online EEG-BCI systems\u2019 requirements, dealing with short processing times and reliable classification accuracy.<\/jats:p>","DOI":"10.3390\/s23084164","type":"journal-article","created":{"date-parts":[[2023,4,21]],"date-time":"2023-04-21T07:51:17Z","timestamp":1682063477000},"page":"4164","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Motor Imagery Multi-Tasks Classification for BCIs Using the NVIDIA Jetson TX2 Board and the EEGNet Network"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4346-8055","authenticated-orcid":false,"given":"Tat\u2019y","family":"Mwata-Velu","sequence":"first","affiliation":[{"name":"Centro de Investigaci\u00f3n en Computaci\u00f3n, Instituto Polit\u00e9cnico Nacional (CIC-IPN), Avenida Juan de Dios B\u00e1tiz Esquina Miguel Oth\u00f3n de Mendiz\u00e1bal Colonia Nueva Industrial Vallejo, Alcald\u00eda Gustavo A. Madero, Ciudad de Mexico C.P. 07738, Mexico"},{"name":"Institut Sup\u00e9rieur P\u00e9dagogique Technique de Kinshasa (I.S.P.T.-KIN), Av. de la Science 5, Gombe, Kinshasa 3287, Democratic Republic of the Congo"},{"name":"Telematics and Digital Signal Processing Research Groups (CAs), Department of Electronics Engineering, Universidad de Guanajuato, Salamanca 36885, Mexico"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6816-1121","authenticated-orcid":false,"given":"Edson","family":"Niyonsaba-Sebigunda","sequence":"additional","affiliation":[{"name":"Institut Sup\u00e9rieur P\u00e9dagogique Technique de Kinshasa (I.S.P.T.-KIN), Av. de la Science 5, Gombe, Kinshasa 3287, Democratic Republic of the Congo"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1730-3748","authenticated-orcid":false,"given":"Juan Gabriel","family":"Avina-Cervantes","sequence":"additional","affiliation":[{"name":"Telematics and Digital Signal Processing Research Groups (CAs), Department of Electronics Engineering, Universidad de Guanajuato, Salamanca 36885, Mexico"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2639-1487","authenticated-orcid":false,"given":"Jose","family":"Ruiz-Pinales","sequence":"additional","affiliation":[{"name":"Institut Sup\u00e9rieur P\u00e9dagogique Technique de Kinshasa (I.S.P.T.-KIN), Av. de la Science 5, Gombe, Kinshasa 3287, Democratic Republic of the Congo"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1883-4711","authenticated-orcid":false,"given":"Narcisse","family":"Velu-A-Gulenga","sequence":"additional","affiliation":[{"name":"Institut Sup\u00e9rieur P\u00e9dagogique de Kikwit (I.S.P. KIKWIT), Av Nzundu 2, Com. Lukolela, Kikwit 8211, Democratic Republic of the Congo"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9151-0465","authenticated-orcid":false,"given":"Ad\u00e1n Antonio","family":"Alonso-Ram\u00edrez","sequence":"additional","affiliation":[{"name":"Instituto Tecnol\u00f3gico Nacional de M\u00e9xico en Celaya (TecNM-Celaya), Av. Antonio Garc\u00eda Cubas Pte 600, Celaya C.P. 38010, Guanajuato, Mexico"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,4,21]]},"reference":[{"key":"ref_1","unstructured":"He, B., Yuan, H., Meng, J., and Gao, S. (2020). 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