{"id":"https://openalex.org/W4200481178","doi":"https://doi.org/10.1109/bibe52308.2021.9635501","title":"Interictal Spike Classification in Pharmacoresistant Epilepsy using Combined EEG and MEG","display_name":"Interictal Spike Classification in Pharmacoresistant Epilepsy using Combined EEG and MEG","publication_year":2021,"publication_date":"2021-10-25","ids":{"openalex":"https://openalex.org/W4200481178","doi":"https://doi.org/10.1109/bibe52308.2021.9635501"},"language":"en","primary_location":{"id":"doi:10.1109/bibe52308.2021.9635501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibe52308.2021.9635501","pdf_url":null,"source":{"id":"https://openalex.org/S4363608533","display_name":"2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011249204","display_name":"Glykeria Sdoukopoulou","orcid":null},"institutions":[{"id":"https://openalex.org/I55741626","display_name":"Technical University of Crete","ror":"https://ror.org/03f8bz564","country_code":"GR","type":"education","lineage":["https://openalex.org/I55741626"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Glykeria Sdoukopoulou","raw_affiliation_strings":["School of Electrical and Computer Engineering, Technical University of Crete, Kounoupidiana, Chania, Greece"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Technical University of Crete, Kounoupidiana, Chania, Greece","institution_ids":["https://openalex.org/I55741626"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079822864","display_name":"Marios Antonakakis","orcid":"https://orcid.org/0000-0003-1173-7895"},"institutions":[{"id":"https://openalex.org/I55741626","display_name":"Technical University of Crete","ror":"https://ror.org/03f8bz564","country_code":"GR","type":"education","lineage":["https://openalex.org/I55741626"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Marios Antonakakis","raw_affiliation_strings":["School of Electrical and Computer Engineering, Technical University of Crete, Kounoupidiana, Chania, Greece"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Technical University of Crete, Kounoupidiana, Chania, Greece","institution_ids":["https://openalex.org/I55741626"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068031996","display_name":"Gabriel Modde","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103666","display_name":"University Hospital M\u00fcnster","ror":"https://ror.org/01856cw59","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I4210103666"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gabriel Modde","raw_affiliation_strings":["Munster University Clinic (UKM), Munster, Germany"],"affiliations":[{"raw_affiliation_string":"Munster University Clinic (UKM), Munster, Germany","institution_ids":["https://openalex.org/I4210103666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053572681","display_name":"Carsten H. Wolters","orcid":"https://orcid.org/0000-0001-6233-424X"},"institutions":[{"id":"https://openalex.org/I22465464","display_name":"University of M\u00fcnster","ror":"https://ror.org/00pd74e08","country_code":"DE","type":"education","lineage":["https://openalex.org/I22465464"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Carsten H. Wolters","raw_affiliation_strings":["Institute of Biomagnetism and Biosignalanalysis, University of Munster, Munster, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Biomagnetism and Biosignalanalysis, University of Munster, Munster, Germany","institution_ids":["https://openalex.org/I22465464"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031391584","display_name":"Michalis Zervakis","orcid":"https://orcid.org/0000-0002-0705-631X"},"institutions":[{"id":"https://openalex.org/I55741626","display_name":"Technical University of Crete","ror":"https://ror.org/03f8bz564","country_code":"GR","type":"education","lineage":["https://openalex.org/I55741626"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Michalis Zervakis","raw_affiliation_strings":["School of Electrical and Computer Engineering, Technical University of Crete, Kounoupidiana, Chania, Greece"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Technical University of Crete, Kounoupidiana, Chania, Greece","institution_ids":["https://openalex.org/I55741626"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5011249204"],"corresponding_institution_ids":["https://openalex.org/I55741626"],"apc_list":null,"apc_paid":null,"fwci":0.7502,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63333333,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"53","issue":null,"first_page":"1","last_page":"6"},"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9993000030517578,"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/T10094","display_name":"Epilepsy research and treatment","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"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/electroencephalography","display_name":"Electroencephalography","score":0.8170688152313232},{"id":"https://openalex.org/keywords/ictal","display_name":"Ictal","score":0.7988194227218628},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.7099186182022095},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.706222653388977},{"id":"https://openalex.org/keywords/magnetoencephalography","display_name":"Magnetoencephalography","score":0.6249880194664001},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5728119015693665},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5642290711402893},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5540145635604858},{"id":"https://openalex.org/keywords/kurtosis","display_name":"Kurtosis","score":0.45169517397880554},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4451417922973633},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.32413679361343384},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.21520674228668213},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16496038436889648},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08855441212654114}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.8170688152313232},{"id":"https://openalex.org/C17755696","wikidata":"https://www.wikidata.org/wiki/Q16564780","display_name":"Ictal","level":3,"score":0.7988194227218628},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.7099186182022095},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.706222653388977},{"id":"https://openalex.org/C556910895","wikidata":"https://www.wikidata.org/wiki/Q384188","display_name":"Magnetoencephalography","level":3,"score":0.6249880194664001},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5728119015693665},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5642290711402893},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5540145635604858},{"id":"https://openalex.org/C166963901","wikidata":"https://www.wikidata.org/wiki/Q287251","display_name":"Kurtosis","level":2,"score":0.45169517397880554},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4451417922973633},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.32413679361343384},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.21520674228668213},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16496038436889648},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08855441212654114},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibe52308.2021.9635501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibe52308.2021.9635501","pdf_url":null,"source":{"id":"https://openalex.org/S4363608533","display_name":"2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1769481377","https://openalex.org/W1967815854","https://openalex.org/W1970931021","https://openalex.org/W1975948719","https://openalex.org/W1994518240","https://openalex.org/W1995108649","https://openalex.org/W1999653836","https://openalex.org/W2033512109","https://openalex.org/W2040817084","https://openalex.org/W2041935121","https://openalex.org/W2071113377","https://openalex.org/W2101234009","https://openalex.org/W2124363827","https://openalex.org/W2136138092","https://openalex.org/W2138448378","https://openalex.org/W2144836313","https://openalex.org/W2152322161","https://openalex.org/W2165537050","https://openalex.org/W2167822639","https://openalex.org/W2283765675","https://openalex.org/W2402787549","https://openalex.org/W2431172307","https://openalex.org/W2514905895","https://openalex.org/W2518116921","https://openalex.org/W2614122704","https://openalex.org/W2768920954","https://openalex.org/W2783830666","https://openalex.org/W2804824909","https://openalex.org/W2874390489","https://openalex.org/W2894547320","https://openalex.org/W2896977870","https://openalex.org/W2998990471","https://openalex.org/W2999596951","https://openalex.org/W3140587407","https://openalex.org/W3187493909","https://openalex.org/W4393219574","https://openalex.org/W6677051739","https://openalex.org/W6799357779"],"related_works":["https://openalex.org/W4381516319","https://openalex.org/W1506384729","https://openalex.org/W2037499216","https://openalex.org/W2622163794","https://openalex.org/W2515491719","https://openalex.org/W2466901773","https://openalex.org/W4220833343","https://openalex.org/W1605351496","https://openalex.org/W2090312564","https://openalex.org/W2900168369"],"abstract_inverted_index":{"Epilepsy":[0,31],"is":[1,15,32,53,214],"one":[2],"of":[3,44,50,54,63,83,96,108,204,211,222],"the":[4,18,23,59,64,75,81,93,105,168,194,202,209,220],"most":[5,76],"common":[6],"brain":[7,84],"disorders":[8],"worldwide.":[9],"The":[10,46,153,182],"basic":[11],"principle":[12],"in":[13],"epilepsy":[14],"to":[16,27,58,123,191],"resect":[17],"epileptogenic":[19],"zone":[20],"(EZ)":[21],"when":[22],"medicaments":[24],"are":[25,74,89],"inadequate":[26],"suppress":[28],"epileptic":[29,224],"seizures.":[30,45],"accompanied":[33],"by":[34],"interictal":[35,109,212],"spikes,":[36],"a":[37,134],"surrogate":[38],"marker":[39],"serving":[40],"as":[41,165,167],"an":[42],"identifier":[43],"automatic":[47,223],"temporal":[48,106],"detection":[49,107,210,226],"these":[51],"spikes":[52,213],"major":[55],"importance":[56],"due":[57],"demanding":[60],"time":[61],"consumption":[62],"manual":[65],"annotation.":[66],"Electro-":[67],"and":[68,72,87,136,158,161,173,206],"magneto-":[69],"encephalography":[70],"(EEG":[71,116,146],"MEG)":[73,118,148],"usual":[77],"measurement":[78,114],"modalities":[79,91,187],"for":[80,92,104,185,199],"recording":[82],"activity.":[85],"EEG":[86,205],"MEG":[88,207],"ideal":[90],"non-invasive":[94],"monitoring":[95],"drug-resistant":[97],"epilepsy.":[98],"Many":[99],"approaches":[100],"have":[101],"been":[102,120],"proposed":[103],"spikes.":[110],"However,":[111],"only":[112],"single":[113,144],"modality":[115,145],"or":[117,147,149],"has":[119],"used":[121],"up":[122],"now,":[124],"neglecting":[125],"their":[126],"complementary":[127],"content.":[128],"In":[129],"this":[130],"study,":[131],"we":[132],"develop":[133],"multi-feature":[135],"iterative":[137],"classification":[138,183],"scheme":[139],"with":[140,193],"input":[141],"from":[142,176,189],"either":[143],"combined":[150],"EEG/MEG":[151],"(EMEG).":[152],"inputs":[154],"include":[155],"statistical":[156],"(kurtosis":[157],"Renyi":[159],"Entropy)":[160],"spectral":[162],"(Energy)":[163],"features":[164],"well":[166],"functional":[169],"connectivity":[170],"metrics,":[171],"global":[172],"local":[174],"efficiency":[175],"imaginary":[177],"phase":[178],"lag":[179],"index":[180],"networks.":[181],"performance":[184,196],"all":[186],"ranges":[188],"89%":[190],"92.8%,":[192],"maximum":[195],"being":[197],"observed":[198],"EMEG.":[200],"Overall,":[201],"complementarity":[203],"on":[208,219],"promising,":[215],"opening":[216],"new":[217],"considerations":[218],"development":[221],"spike":[225],"approaches.":[227]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
