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Herein, the BNCI Horizon 2020 dataset is employed, which consists of electroencephalographic signals from ten participants with subacute and chronic cervical spinal cord injuries. These participants perform or attempt five distinct types of arm and hand movements. To extract signal features, a novel technique is introduced that estimates movement\u2010related cortical potentials and incorporates them into the processing pipeline. Moreover, a time\u2010frequency domain representation of the dataset is used as input for the classifier. Given the promising outcomes demonstrated by deep learning models in BCI classification, a pretrained ConvNet AlexNet is adopted to decode the motor tasks. The proposed method exhibits a remarkable average accuracy of 76.0% across all five categories, representing a significant advancement over existing state\u2010of\u2010the\u2010art techniques. Additionally, an in\u2010depth analysis of the convolutional layers in the model is conducted to gain comprehensive insights into the classification process. By examining the ConvNet filters and activations, the method contributes to a deeper understanding of the electrophysiology that underlies attempted movement.<\/jats:p>","DOI":"10.1002\/aisy.202300094","type":"journal-article","created":{"date-parts":[[2023,9,13]],"date-time":"2023-09-13T05:05:33Z","timestamp":1694581533000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["ConvNets for Electroencephalographic Decoding of Attempted Arm and Hand Movements of People with Spinal Cord Injury"],"prefix":"10.1002","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0255-8580","authenticated-orcid":false,"given":"Sandra","family":"Cancino","sequence":"first","affiliation":[{"name":"Department of Electrical and Electronics Engineering Universidad del Norte  Km. 5 v\u00eda Puerto Colombia, \u00c1rea Metropolitana de Barranquilla Barranquilla Colombia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3595-3317","authenticated-orcid":false,"given":"Juan Manuel","family":"L\u00f3pez","sequence":"additional","affiliation":[{"name":"Calgary  Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4493-7570","authenticated-orcid":false,"given":"Jaime F.","family":"Delgado Saa","sequence":"additional","affiliation":[{"name":"SciFork SARL  Geneva Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6725-4959","authenticated-orcid":false,"given":"Norelli","family":"Schettini","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronics Engineering Universidad del Norte  Km. 5 v\u00eda Puerto Colombia, \u00c1rea Metropolitana de Barranquilla Barranquilla Colombia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2023,9,13]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/aab2f2"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/13\/3\/036017"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/1941487.1941506"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/RBME.2009.2035356"},{"key":"e_1_2_8_6_1","first-page":"43","volume":"41","author":"Cristancho J.","year":"2020","journal-title":"Rev. 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