{"id":"https://openalex.org/W4226146536","doi":"https://doi.org/10.1109/access.2022.3167433","title":"Sparse Common Feature Analysis for Detection of Interictal Epileptiform Discharges From Concurrent Scalp EEG","display_name":"Sparse Common Feature Analysis for Detection of Interictal Epileptiform Discharges From Concurrent Scalp EEG","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4226146536","doi":"https://doi.org/10.1109/access.2022.3167433"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3167433","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3167433","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09757172.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09757172.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068210397","display_name":"Bahman Abdi\u2010Sargezeh","orcid":"https://orcid.org/0000-0003-1141-0702"},"institutions":[{"id":"https://openalex.org/I52590639","display_name":"Nottingham Trent University","ror":"https://ror.org/04xyxjd90","country_code":"GB","type":"education","lineage":["https://openalex.org/I52590639"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Bahman Abdi-Sargezeh","raw_affiliation_strings":["School of Science and Technology, Nottingham Trent University, Nottingham, U.K"],"affiliations":[{"raw_affiliation_string":"School of Science and Technology, Nottingham Trent University, Nottingham, U.K","institution_ids":["https://openalex.org/I52590639"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013584826","display_name":"Antonio Valent\u0131\u0301n","orcid":"https://orcid.org/0000-0003-0449-5234"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Antonio Valentin","raw_affiliation_strings":["Department of Clinical Neuroscience, King&#x2019;s College London, London, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Clinical Neuroscience, King&#x2019;s College London, London, U.K","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073858586","display_name":"Gonzalo Alarc\u00f3n","orcid":"https://orcid.org/0009-0003-6638-9194"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gonzalo Alarcon","raw_affiliation_strings":["School of Medical Sciences, The University of Manchester, Manchester, U.K"],"affiliations":[{"raw_affiliation_string":"School of Medical Sciences, The University of Manchester, Manchester, U.K","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004587843","display_name":"Saeid Sanei","orcid":"https://orcid.org/0000-0002-1446-5744"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]},{"id":"https://openalex.org/I52590639","display_name":"Nottingham Trent University","ror":"https://ror.org/04xyxjd90","country_code":"GB","type":"education","lineage":["https://openalex.org/I52590639"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Saeid Sanei","raw_affiliation_strings":["School of Science and Technology, Nottingham Trent University, Nottingham, U.K","Department of Electrical and Electronic Engineering, Imperial College London, London, U.K"],"affiliations":[{"raw_affiliation_string":"School of Science and Technology, Nottingham Trent University, Nottingham, U.K","institution_ids":["https://openalex.org/I52590639"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5068210397"],"corresponding_institution_ids":["https://openalex.org/I52590639"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.8224,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.68765515,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"10","issue":null,"first_page":"49892","last_page":"49904"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7730621695518494},{"id":"https://openalex.org/keywords/ictal","display_name":"Ictal","score":0.7630429267883301},{"id":"https://openalex.org/keywords/stereoelectroencephalography","display_name":"Stereoelectroencephalography","score":0.7522110342979431},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7507461309432983},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6820265054702759},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6537726521492004},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6171550750732422},{"id":"https://openalex.org/keywords/scalp","display_name":"Scalp","score":0.5214635729789734},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5191071033477783},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.48453181982040405},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4680803716182709},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.11010506749153137},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07393041253089905}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7730621695518494},{"id":"https://openalex.org/C17755696","wikidata":"https://www.wikidata.org/wiki/Q16564780","display_name":"Ictal","level":3,"score":0.7630429267883301},{"id":"https://openalex.org/C98254291","wikidata":"https://www.wikidata.org/wiki/Q7611238","display_name":"Stereoelectroencephalography","level":4,"score":0.7522110342979431},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7507461309432983},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6820265054702759},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6537726521492004},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6171550750732422},{"id":"https://openalex.org/C2778515351","wikidata":"https://www.wikidata.org/wiki/Q9622","display_name":"Scalp","level":2,"score":0.5214635729789734},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5191071033477783},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.48453181982040405},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4680803716182709},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.11010506749153137},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07393041253089905},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/access.2022.3167433","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3167433","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09757172.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:kclpure.kcl.ac.uk:openaire/06233a65-2369-4269-8459-b52fb03edd1f","is_oa":true,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/en/publications/06233a65-2369-4269-8459-b52fb03edd1f","pdf_url":null,"source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Abdi-Sargezeh, B, Valentin, A, Alarcon, G & Sanei, S 2022, 'Sparse Common Feature Analysis for Detection of Interictal Epileptiform Discharges from Concurrent Scalp EEG', IEEE Access, vol. 10, pp. 49892-49904. https://doi.org/10.1109/ACCESS.2022.3167433","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:irep.ntu.ac.uk:46138","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400559","display_name":"Nottingham Trent University's Institutional Repository (Nottingham Trent Repository)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I52590639","host_organization_name":"Nottingham Trent University","host_organization_lineage":["https://openalex.org/I52590639"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:d715869cc5ba4f629bc94b1c2fe88d78","is_oa":true,"landing_page_url":"https://doaj.org/article/d715869cc5ba4f629bc94b1c2fe88d78","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 49892-49904 (2022)","raw_type":"article"},{"id":"pmh:oai:kclpure.kcl.ac.uk:publications/06233a65-2369-4269-8459-b52fb03edd1f","is_oa":true,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85128265358&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Abdi-Sargezeh, B, Valentin, A, Alarcon, G & Sanei, S 2022, 'Sparse Common Feature Analysis for Detection of Interictal Epileptiform Discharges from Concurrent Scalp EEG', IEEE Access, vol. 10, pp. 49892-49904. https://doi.org/10.1109/ACCESS.2022.3167433","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3167433","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3167433","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09757172.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311701","display_name":"Nottingham Trent University","ror":"https://ror.org/04xyxjd90"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4226146536.pdf","grobid_xml":"https://content.openalex.org/works/W4226146536.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1893333638","https://openalex.org/W1969954543","https://openalex.org/W1974411447","https://openalex.org/W1977013974","https://openalex.org/W1984874881","https://openalex.org/W1998255574","https://openalex.org/W2019359383","https://openalex.org/W2021302824","https://openalex.org/W2027927824","https://openalex.org/W2041717313","https://openalex.org/W2042921587","https://openalex.org/W2059653419","https://openalex.org/W2066572661","https://openalex.org/W2070724678","https://openalex.org/W2078204800","https://openalex.org/W2084174584","https://openalex.org/W2093285596","https://openalex.org/W2106771705","https://openalex.org/W2117309763","https://openalex.org/W2154332973","https://openalex.org/W2160547390","https://openalex.org/W2166390819","https://openalex.org/W2277425195","https://openalex.org/W2295614256","https://openalex.org/W2534734816","https://openalex.org/W2558173024","https://openalex.org/W2750443890","https://openalex.org/W2790407631","https://openalex.org/W2874390489","https://openalex.org/W2895522623","https://openalex.org/W2930851727","https://openalex.org/W2969304606","https://openalex.org/W2983315218","https://openalex.org/W2987405155","https://openalex.org/W2999855810","https://openalex.org/W3014558148","https://openalex.org/W3080395176","https://openalex.org/W3132469070","https://openalex.org/W3151588047","https://openalex.org/W3160483845","https://openalex.org/W3208651060","https://openalex.org/W3215003044","https://openalex.org/W4206759433","https://openalex.org/W4235713725","https://openalex.org/W4248307879"],"related_works":["https://openalex.org/W1990505203","https://openalex.org/W4390245089","https://openalex.org/W4390753748","https://openalex.org/W4383069276","https://openalex.org/W4407308436","https://openalex.org/W1582245736","https://openalex.org/W2002883692","https://openalex.org/W3043336704","https://openalex.org/W4394739643","https://openalex.org/W2790392165"],"abstract_inverted_index":{"Temporal":[0],"interictal":[1],"epileptiform":[2],"discharges":[3],"(IEDs)":[4],"are":[5,111,129],"often":[6],"invisible":[7],"in":[8,28,85,174],"the":[9,29,44,74,80,133,137,141,157,162,169,177],"scalp":[10],"EEG":[11],"(sEEG).":[12],"However,":[13],"due":[14],"to":[15,35,160],"within-electrode":[16],"temporal":[17,41],"correlation":[18],"and":[19,40,93,108,125,139,146,150,167],"between-electrode":[20],"spatial":[21,39],"correlation,":[22],"they":[23],"still":[24],"have":[25,36],"their":[26],"signatures":[27],"sEEG.":[30,181],"Therefore,":[31],"it":[32],"is":[33],"expected":[34],"some":[37],"common":[38,56,67],"features":[42],"among":[43],"IEDs.":[45],"In":[46,73],"this":[47],"paper,":[48],"we":[49,77],"first":[50],"present":[51],"a":[52,87,97,172],"novel":[53],"method,":[54,60],"called":[55],"feature":[57],"analysis":[58],"(CFA)-based":[59],"for":[61,102,131],"IED":[62,83,103,116],"detection":[63,117],"via":[64],"an":[65],"existing":[66],"orthogonal":[68],"basis":[69],"extraction":[70],"(COBE)":[71],"algorithm.":[72],"second":[75],"approach,":[76],"benefit":[78],"from":[79,180],"sparsity":[81],"of":[82,121,144,165,171],"waveforms":[84],"developing":[86],"new":[88],"algorithm,":[89],"namely":[90,123],"sparse":[91,98],"COBE,":[92],"based":[94],"on":[95],"that,":[96],"CFA":[99,107],"(SCFA)-based":[100],"method":[101],"detection.":[104],"The":[105],"proposed":[106,158],"SCFA":[109,135],"models":[110],"compared":[112],"with":[113],"two":[114],"state-of-the-art":[115],"methods.":[118,134],"Two":[119],"types":[120],"approaches,":[122,128,153],"within-":[124,149],"between-subject":[126,151],"classification":[127,152],"employed":[130],"evaluating":[132],"outperforms":[136],"others":[138],"achieves":[140],"accuracy":[142],"values":[143],"75.1%":[145],"67.8%":[147],"using":[148],"respectively.":[154],"This":[155],"enables":[156],"techniques":[159],"capture":[161],"intracranial":[163],"biomarkers":[164],"epilepsy":[166],"ameliorate":[168],"performance":[170],"classifier":[173],"automatically":[175],"detecting":[176],"scalp-invisible":[178],"IEDs":[179]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":5}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2022-05-05T00:00:00"}
