{"id":628,"date":"2025-10-01T10:12:20","date_gmt":"2025-10-01T09:12:20","guid":{"rendered":"https:\/\/research.dblue.it\/trusty\/?post_type=avada_portfolio&p=628"},"modified":"2025-10-01T11:32:18","modified_gmt":"2025-10-01T10:32:18","slug":"journal-article-optimizing-eeg-signal-integrity-a-comprehensive-guide-to-ocular-artifact-correction","status":"publish","type":"avada_portfolio","link":"https:\/\/research.dblue.it\/trusty\/portfolio-items\/journal-article-optimizing-eeg-signal-integrity-a-comprehensive-guide-to-ocular-artifact-correction\/","title":{"rendered":"Journal Article: Optimizing EEG Signal Integrity \u2013 A Comprehensive Guide to Ocular Artifact Correction"},"content":{"rendered":"

This peer-reviewed article provides a detailed tutorial on correcting ocular artifacts in EEG recordings, from traditional methods like ICA and regression to advanced techniques including ASR and deep learning. Essential reading for researchers working with both lab-based and wearable EEG systems, it ensures accurate, reliable neurophysiological data for real-time and applied neuroscience studies. Published on 12 October 2024.<\/p>\n

DOI:<\/strong> 10.3390\/bioengineering11101018<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

This peer-reviewed article provides a detailed tutorial on correcting ocular artifacts in EEG recordings, from traditional methods like ICA and regression to advanced techniques including ASR and deep learning. Essential reading for researchers working with both lab-based and wearable EEG systems, it ensures accurate, reliable neurophysiological data for real-time and […]<\/p>\n","protected":false},"author":19,"featured_media":650,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"footnotes":""},"portfolio_category":[4],"portfolio_skills":[],"portfolio_tags":[],"class_list":["post-628","avada_portfolio","type-avada_portfolio","status-publish","format-standard","has-post-thumbnail","hentry","portfolio_category-scientific-publications"],"yoast_head":"\nJournal Article: Optimizing EEG Signal Integrity \u2013 A Comprehensive Guide to Ocular Artifact Correction - TRUSTY<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/research.dblue.it\/trusty\/portfolio-items\/journal-article-optimizing-eeg-signal-integrity-a-comprehensive-guide-to-ocular-artifact-correction\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Journal Article: Optimizing EEG Signal Integrity \u2013 A Comprehensive Guide to Ocular Artifact Correction - TRUSTY\" \/>\n<meta property=\"og:description\" content=\"This peer-reviewed article provides a detailed tutorial on correcting ocular artifacts in EEG recordings, from traditional methods like ICA and regression to advanced techniques including ASR and deep learning. 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