{"id":"https://openalex.org/W4396972638","doi":"https://doi.org/10.3389/fninf.2024.1395916","title":"Gershgorin circle theorem-based feature extraction for biomedical signal analysis","display_name":"Gershgorin circle theorem-based feature extraction for biomedical signal analysis","publication_year":2024,"publication_date":"2024-05-16","ids":{"openalex":"https://openalex.org/W4396972638","doi":"https://doi.org/10.3389/fninf.2024.1395916","pmid":"https://pubmed.ncbi.nlm.nih.gov/38817244"},"language":"en","primary_location":{"id":"doi:10.3389/fninf.2024.1395916","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fninf.2024.1395916","pdf_url":"https://www.frontiersin.org/articles/10.3389/fninf.2024.1395916/pdf?isPublishedV2=False","source":{"id":"https://openalex.org/S179816892","display_name":"Frontiers in Neuroinformatics","issn_l":"1662-5196","issn":["1662-5196"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Neuroinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/articles/10.3389/fninf.2024.1395916/pdf?isPublishedV2=False","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084868466","display_name":"Sahaj Anilbhai Patel","orcid":"https://orcid.org/0000-0001-6016-7273"},"institutions":[{"id":"https://openalex.org/I32389192","display_name":"University of Alabama at Birmingham","ror":"https://ror.org/008s83205","country_code":"US","type":"education","lineage":["https://openalex.org/I32389192"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sahaj A. Patel","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Alabama at Birmingham, Birmingham, AL, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alabama at Birmingham, Birmingham, AL, United States","institution_ids":["https://openalex.org/I32389192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020996716","display_name":"Rachel J. Smith","orcid":"https://orcid.org/0000-0001-7142-0684"},"institutions":[{"id":"https://openalex.org/I32389192","display_name":"University of Alabama at Birmingham","ror":"https://ror.org/008s83205","country_code":"US","type":"education","lineage":["https://openalex.org/I32389192"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rachel June Smith","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Alabama at Birmingham, Birmingham, AL, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alabama at Birmingham, Birmingham, AL, United States","institution_ids":["https://openalex.org/I32389192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046562345","display_name":"Abidin Yildirim","orcid":"https://orcid.org/0000-0003-2014-8283"},"institutions":[{"id":"https://openalex.org/I32389192","display_name":"University of Alabama at Birmingham","ror":"https://ror.org/008s83205","country_code":"US","type":"education","lineage":["https://openalex.org/I32389192"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abidin Yildirim","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Alabama at Birmingham, Birmingham, AL, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alabama at Birmingham, Birmingham, AL, United States","institution_ids":["https://openalex.org/I32389192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5084868466"],"corresponding_institution_ids":["https://openalex.org/I32389192"],"apc_list":{"value":3295,"currency":"USD","value_usd":3295},"apc_paid":{"value":3295,"currency":"USD","value_usd":3295},"fwci":0.9424,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70993809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"18","issue":null,"first_page":"1395916","last_page":"1395916"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998000264167786,"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":0.9998000264167786,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9940000176429749,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.6945017576217651},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6894820332527161},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.663753867149353},{"id":"https://openalex.org/keywords/laplacian-matrix","display_name":"Laplacian matrix","score":0.643861711025238},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6221239566802979},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.514444887638092},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48327332735061646},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.47723841667175293},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4644394516944885},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.4516916275024414},{"id":"https://openalex.org/keywords/laplace-operator","display_name":"Laplace operator","score":0.44574981927871704},{"id":"https://openalex.org/keywords/visibility-graph","display_name":"Visibility graph","score":0.43548908829689026},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38067150115966797},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36177730560302734},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24189504981040955},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2153228521347046}],"concepts":[{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.6945017576217651},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6894820332527161},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.663753867149353},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.643861711025238},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6221239566802979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.514444887638092},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48327332735061646},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.47723841667175293},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4644394516944885},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.4516916275024414},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.44574981927871704},{"id":"https://openalex.org/C173362246","wikidata":"https://www.wikidata.org/wiki/Q8216024","display_name":"Visibility graph","level":3,"score":0.43548908829689026},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38067150115966797},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36177730560302734},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24189504981040955},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2153228521347046},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/fninf.2024.1395916","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fninf.2024.1395916","pdf_url":"https://www.frontiersin.org/articles/10.3389/fninf.2024.1395916/pdf?isPublishedV2=False","source":{"id":"https://openalex.org/S179816892","display_name":"Frontiers in Neuroinformatics","issn_l":"1662-5196","issn":["1662-5196"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Neuroinformatics","raw_type":"journal-article"},{"id":"pmid:38817244","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38817244","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in neuroinformatics","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11137292","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11137292","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11137292/pdf/fninf-18-1395916.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Front Neuroinform","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:cd4720b8a53a4e759dc577db74ed6324","is_oa":true,"landing_page_url":"https://doaj.org/article/cd4720b8a53a4e759dc577db74ed6324","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Neuroinformatics, Vol 18 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3389/fninf.2024.1395916","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fninf.2024.1395916","pdf_url":"https://www.frontiersin.org/articles/10.3389/fninf.2024.1395916/pdf?isPublishedV2=False","source":{"id":"https://openalex.org/S179816892","display_name":"Frontiers in Neuroinformatics","issn_l":"1662-5196","issn":["1662-5196"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Neuroinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320307214","display_name":"Citizens United for Research in Epilepsy","ror":"https://ror.org/01awnfh35"},{"id":"https://openalex.org/F4320329962","display_name":"Epilepsy Society","ror":null},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4396972638.pdf"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1973009575","https://openalex.org/W1975527028","https://openalex.org/W1991362940","https://openalex.org/W2004824191","https://openalex.org/W2011615785","https://openalex.org/W2053744708","https://openalex.org/W2055538060","https://openalex.org/W2060464767","https://openalex.org/W2093446113","https://openalex.org/W2107114092","https://openalex.org/W2131681506","https://openalex.org/W2141227450","https://openalex.org/W2163605009","https://openalex.org/W2521192355","https://openalex.org/W2521472744","https://openalex.org/W2537943564","https://openalex.org/W2618499003","https://openalex.org/W2898997060","https://openalex.org/W2908199053","https://openalex.org/W2963768879","https://openalex.org/W3018660603","https://openalex.org/W3035632780","https://openalex.org/W3099768174","https://openalex.org/W3133942281","https://openalex.org/W3135571162","https://openalex.org/W3214957265","https://openalex.org/W4205303537","https://openalex.org/W4210570407","https://openalex.org/W4294992933","https://openalex.org/W4298352105","https://openalex.org/W4299429830","https://openalex.org/W4304585147","https://openalex.org/W4317851139","https://openalex.org/W4328049342","https://openalex.org/W4360868544","https://openalex.org/W4367844523","https://openalex.org/W4376108288","https://openalex.org/W4376598158","https://openalex.org/W4381952523","https://openalex.org/W4383067033","https://openalex.org/W4385507282","https://openalex.org/W6684191040","https://openalex.org/W6729682212"],"related_works":["https://openalex.org/W4213150077","https://openalex.org/W2369410163","https://openalex.org/W2059018062","https://openalex.org/W2604585036","https://openalex.org/W2078477160","https://openalex.org/W2963002212","https://openalex.org/W1989103179","https://openalex.org/W1991172810","https://openalex.org/W125803343","https://openalex.org/W4205812024"],"abstract_inverted_index":{"Recently,":[0],"graph":[1,19],"theory":[2],"has":[3],"become":[4],"a":[5,18,47,58,73,146,196],"promising":[6],"tool":[7],"for":[8,53,61],"biomedical":[9,86,242],"signal":[10,243,254],"analysis,":[11],"wherein":[12],"the":[13,31,34,38,80,109,118,138,141,153,213,221,228,246],"signals":[14],"are":[15,143,249],"transformed":[16,41],"into":[17],"network":[20],"and":[21,108,129,171,176],"represented":[22],"as":[23,30,252],"either":[24],"adjacency":[25],"or":[26],"Laplacian":[27,150],"matrices.":[28],"However,":[29],"size":[32],"of":[33,40,98,112,120,165,183,201,218],"time":[35],"series":[36],"increases,":[37],"dimensions":[39],"matrices":[42],"also":[43,237],"expand,":[44],"leading":[45],"to":[46,85,160,172,191],"significant":[48],"rise":[49],"in":[50,179,186,216,240],"computational":[51,68],"demand":[52],"analysis.":[54],"Therefore,":[55],"there":[56],"is":[57,122],"critical":[59],"need":[60],"efficient":[62],"feature":[63,75,134,230],"extraction":[64,76,135,231],"methods":[65,215],"demanding":[66],"low":[67],"time.":[69],"This":[70,156,207],"paper":[71],"introduces":[72],"new":[74],"technique":[77],"based":[78],"on":[79],"Gershgorin":[81,89],"Circle":[82,90],"theorem":[83],"applied":[84,159],"signals,":[87],"termed":[88],"Feature":[91],"Extraction":[92],"(GCFE).":[93],"The":[94,181,233],"study":[95],"makes":[96],"use":[97],"two":[99,125],"publicly":[100],"available":[101],"datasets:":[102],"one":[103,169],"including":[104],"synthetic":[105],"neural":[106,166],"recordings,":[107],"other":[110,133,193,214,229],"consisting":[111],"EEG":[113],"seizure":[114,175],"data.":[115],"In":[116,137],"addition,":[117],"efficacy":[119],"GCFE":[121,139,184,210,222,234],"compared":[123,190],"with":[124],"distinct":[126],"visibility":[127,154,247],"graphs":[128,248],"tested":[130],"against":[131],"seven":[132,192],"methods.":[136],"method,":[140],"features":[142],"extracted":[144],"from":[145,152,168],"special":[147],"modified":[148],"weighted":[149],"matrix":[151],"graphs.":[155],"method":[157,223,235],"was":[158,224],"classify":[161],"three":[162],"different":[163],"types":[164],"spikes":[167],"dataset,":[170],"distinguish":[173],"between":[174],"non-seizure":[177],"events":[178],"another.":[180],"application":[182],"resulted":[185],"superior":[187],"performance":[188],"when":[189],"algorithms,":[194],"achieving":[195],"positive":[197],"average":[198],"accuracy":[199],"difference":[200],"2.67%":[202],"across":[203],"all":[204],"experimental":[205],"datasets.":[206],"indicates":[208],"that":[209],"consistently":[211],"outperformed":[212],"terms":[217],"accuracy.":[219],"Furthermore,":[220],"more":[225],"computationally-efficient":[226],"than":[227],"techniques.":[232],"can":[236],"be":[238],"employed":[239],"real-time":[241],"classification":[244],"where":[245],"utilized":[250],"such":[251],"EKG":[253],"classification.":[255]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
