{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T07:23:28Z","timestamp":1767165808320,"version":"build-2238731810"},"reference-count":96,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,4,12]],"date-time":"2021-04-12T00:00:00Z","timestamp":1618185600000},"content-version":"vor","delay-in-days":101,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Scientific Research Fund","award":["DH17\/10"],"award-info":[{"award-number":["DH17\/10"]}]},{"name":"National Scientific Research Fund","award":["777720"],"award-info":[{"award-number":["777720"]}]},{"name":"H2020 Project CybSPEED","award":["DH17\/10"],"award-info":[{"award-number":["DH17\/10"]}]},{"name":"H2020 Project CybSPEED","award":["777720"],"award-info":[{"award-number":["777720"]}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Computational Intelligence and Neuroscience"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>\n                    Researchers in neuroscience computing experience difficulties when they try to carry out neuroanalysis in practice or when they need to design an explainable brain\u2010computer interface (BCI) with quick setup and minimal training phase. There is a need of interpretable computational intelligence techniques and new brain states decoding for more understandable interpretation of the sensory, cognitive, and motor brain processing. We propose a general\u2010purpose fuzzy software system shell for developing a custom EEG BCI system. It relies on the bursts of the ongoing EEG frequency power synchronization\/desynchronization at scalp level and supports quick BCI setup by linguistic features, ad hoc fuzzy membership construction, explainable IF\u2010THEN rules, and the concept of the Internet of Things (IoT), which makes the BCI system device and service independent. It has a potential for designing both passive and event\u2010related BCIs with options for visual representation at scalp\u2010source level in response to time. The feasibility of the proposed system has been proven by real experiments and bursts for\n                    <jats:italic>\u03b2<\/jats:italic>\n                    and\n                    <jats:italic>\u03b3<\/jats:italic>\n                    frequency power have been detected in real time in response to evoked visuospatial selective attention. The presence of the proposed new brain state decoding can be used as a feasible metric for interpretation of the spatiotemporal dynamics of the passive or evoked neural oscillations.\n                  <\/jats:p>","DOI":"10.1155\/2021\/6685672","type":"journal-article","created":{"date-parts":[[2021,4,12]],"date-time":"2021-04-12T15:11:03Z","timestamp":1618240263000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["A Fuzzy Shell for Developing an Interpretable BCI Based on the Spatiotemporal Dynamics of the Evoked Oscillations"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9012-4714","authenticated-orcid":false,"given":"Anna","family":"Lekova","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3978-4821","authenticated-orcid":false,"given":"Ivan","family":"Chavdarov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,4,12]]},"reference":[{"key":"e_1_2_10_1_2","article-title":"Explainable artificial intelligence: a systematic review","volume":"93","author":"Vilone G.","year":"2006","journal-title":"CoRR"},{"key":"e_1_2_10_2_2","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/10\/5\/056014"},{"key":"e_1_2_10_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2003.10.009"},{"key":"e_1_2_10_4_2","doi-asserted-by":"publisher","DOI":"10.1162\/pres.19.1.35"},{"key":"e_1_2_10_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/tbme.2004.827072"},{"key":"e_1_2_10_6_2","unstructured":"Neuromore EEG streaming and processing studio."},{"key":"e_1_2_10_7_2","article-title":"EEGLAB, SIFT, NFT, BCILAB, ERICA-new tools for advanced EEG processing","volume":"23","author":"Delorme A.","year":"2011","journal-title":"IEEE Transactions on Biomedical Engineering"},{"key":"e_1_2_10_8_2","article-title":"Kendall\u2019s advanced theory of statistics","volume":"2","author":"Stuart A.","year":"1999","journal-title":"Classical Inference and the Linear Model"},{"key":"e_1_2_10_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2010.11.007"},{"key":"e_1_2_10_10_2","unstructured":"GuX. 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