{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T16:49:37Z","timestamp":1778604577485,"version":"3.51.4"},"reference-count":20,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2021,12,18]],"date-time":"2021-12-18T00:00:00Z","timestamp":1639785600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,2,19]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>The electroencephalography (EEG) signal is corrupted with some non-cerebral activities due to patient movement during signal measurement. These non-cerebral activities are termed as artifacts, which may diminish the superiority of acquired EEG signal statistics. The state of the art artifact elimination approaches applied canonical correlation analysis (CCA) for confiscating EEG motion artifacts accompanied by ensemble empirical mode decomposition (EEMD). An improved cascaded approach based on Gaussian elimination CCA (GECCA) and EEMD is applied to suppress EEG artifacts effectively. However, in a highly noisy environment, a novel addition of median filter before the GECCA algorithm is suggested for improving the accuracy of onslaught the EEG signal. The median filter is opted due to its edge preserving nature and speed. This proposed approach is appraised using efficacy grounds for instance Del signal to noise ratio, Lambda (\u03bb), root mean square error and receiver operating characteristic (ROC) parameters and verified contrary to presently obtainable EEG artifacts exclusion methods. The primary concern is to improve the efficacy and precision of the proposed artifact elimination technique. The elapsed time is also calculated to evaluate the computation efficiency. Results show that the proposed algorithm is appropriate to be used as an addition to existing algorithms in use.<\/jats:p>","DOI":"10.1093\/comjnl\/bxab170","type":"journal-article","created":{"date-parts":[[2021,12,5]],"date-time":"2021-12-05T12:06:39Z","timestamp":1638705999000},"page":"429-440","source":"Crossref","is-referenced-by-count":219,"title":["An Advanced EEG Motion Artifacts Eradication Algorithm"],"prefix":"10.1093","volume":"66","author":[{"given":"Piyush Kumar","family":"Shukla","sequence":"first","affiliation":[{"name":"Computer Science & Engineering Department , , Bhopal 462023, India"},{"name":"University Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya (Technological University of Madhya Pradesh) , , Bhopal 462023, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vandana","family":"Roy","sequence":"additional","affiliation":[{"name":"Associate Professor, Department of Electronics & Communication, Gyan Ganga Institute of Technology & Sciences (GGITS) , Jabalpur 482002, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Prashant Kumar","family":"Shukla","sequence":"additional","affiliation":[{"name":"Associate Professor, Department of Computer Science and Engineering , K L University, Vijayawada, 29-36-38, Museum Rd, Governor Peta, Andhra Pradesh 520002, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anoop Kumar","family":"Chaturvedi","sequence":"additional","affiliation":[{"name":"Associate Professor, Computer Science & Engineering Department, Lakshmi Narain College of Technology (LNCT) , Bhopal 462021, M.P., India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aumreesh Kumar","family":"Saxena","sequence":"additional","affiliation":[{"name":"Associate Professor & HoD Department Information Technology , SIRT, Bhopal 462041, M.P., India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manish","family":"Maheshwari","sequence":"additional","affiliation":[{"name":"Professor in Computer Science and Applications , Makhanlal Chaturvedi National University of Journalism and Communication, Bhopal 462004, M.P., India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Parashu Ram","family":"Pal","sequence":"additional","affiliation":[{"name":"Professor, SAGE University , Bhopal- 462043, Madhya Pradesh, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2021,12,18]]},"reference":[{"key":"2023022013492599700_","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1016\/j.neuroimage.2010.07.057","article-title":"Eletromyogenic artifacts and electroencephalographic inferences revisited","volume":"54","author":"Mc Menamin","year":"2011","journal-title":"NeuroImage"},{"key":"2023022013492599700_","doi-asserted-by":"crossref","first-page":"488","DOI":"10.1109\/TITB.2012.2188536","article-title":"Artifact removal in physio-logical signals-practices and possibilities","volume":"16","author":"Sweeney","year":"2012","journal-title":"Inform. 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