{"id":"https://openalex.org/W2914534442","doi":"https://doi.org/10.1109/tim.2018.2855518","title":"Accurate Classification of Seizure and Seizure-Free Intervals of Intracranial EEG Signals From Epileptic Patients","display_name":"Accurate Classification of Seizure and Seizure-Free Intervals of Intracranial EEG Signals From Epileptic Patients","publication_year":2018,"publication_date":"2018-08-13","ids":{"openalex":"https://openalex.org/W2914534442","doi":"https://doi.org/10.1109/tim.2018.2855518","mag":"2914534442"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2018.2855518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2018.2855518","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5049507437","display_name":"Salim Lahmiri","orcid":"https://orcid.org/0000-0002-9237-4100"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]},{"id":"https://openalex.org/I1292859797","display_name":"Montreal Neurological Institute and Hospital","ror":"https://ror.org/05ghs6f64","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1292859797"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Salim Lahmiri","raw_affiliation_strings":["Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I1292859797","https://openalex.org/I5023651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079077965","display_name":"Amir Shmuel","orcid":"https://orcid.org/0000-0003-3028-6639"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]},{"id":"https://openalex.org/I1292859797","display_name":"Montreal Neurological Institute and Hospital","ror":"https://ror.org/05ghs6f64","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1292859797"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Amir Shmuel","raw_affiliation_strings":["Department of Biomedical Engineering, Montreal Neurological Institute, McGill University, Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Montreal Neurological Institute, McGill University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I1292859797","https://openalex.org/I5023651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5049507437"],"corresponding_institution_ids":["https://openalex.org/I1292859797","https://openalex.org/I5023651"],"apc_list":null,"apc_paid":null,"fwci":4.0738,"has_fulltext":false,"cited_by_count":96,"citation_normalized_percentile":{"value":0.9457913,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"68","issue":"3","first_page":"791","last_page":"796"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9954000115394592,"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/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9781000018119812,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.80133056640625},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6779882907867432},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6320275664329529},{"id":"https://openalex.org/keywords/epileptic-seizure","display_name":"Epileptic seizure","score":0.6124622225761414},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5811220407485962},{"id":"https://openalex.org/keywords/cad","display_name":"CAD","score":0.5478061437606812},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5416479706764221},{"id":"https://openalex.org/keywords/hurst-exponent","display_name":"Hurst exponent","score":0.541456937789917},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32174110412597656},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3216264545917511},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1583595871925354},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1228422224521637},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10797455906867981},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.1056218147277832}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.80133056640625},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6779882907867432},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6320275664329529},{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.6124622225761414},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5811220407485962},{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.5478061437606812},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5416479706764221},{"id":"https://openalex.org/C96835011","wikidata":"https://www.wikidata.org/wiki/Q1638718","display_name":"Hurst exponent","level":2,"score":0.541456937789917},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32174110412597656},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3216264545917511},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1583595871925354},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1228422224521637},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10797455906867981},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1056218147277832},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2018.2855518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2018.2855518","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1967210573","https://openalex.org/W1969946769","https://openalex.org/W1970917709","https://openalex.org/W1982897978","https://openalex.org/W1999064660","https://openalex.org/W2001739084","https://openalex.org/W2005305683","https://openalex.org/W2038349981","https://openalex.org/W2053744708","https://openalex.org/W2060768609","https://openalex.org/W2066292767","https://openalex.org/W2071341607","https://openalex.org/W2084938682","https://openalex.org/W2089846971","https://openalex.org/W2107498084","https://openalex.org/W2120518518","https://openalex.org/W2122111042","https://openalex.org/W2129920988","https://openalex.org/W2139833307","https://openalex.org/W2169105664","https://openalex.org/W2169880831","https://openalex.org/W2188934299","https://openalex.org/W2247051275","https://openalex.org/W2462271429","https://openalex.org/W2476291514","https://openalex.org/W2516904419","https://openalex.org/W2524982237","https://openalex.org/W2594769188","https://openalex.org/W2739428828","https://openalex.org/W2751033988","https://openalex.org/W2769083668"],"related_works":["https://openalex.org/W2368687800","https://openalex.org/W2148767310","https://openalex.org/W3034983999","https://openalex.org/W2064873895","https://openalex.org/W2012792015","https://openalex.org/W1966180462","https://openalex.org/W2911012399","https://openalex.org/W1985409598","https://openalex.org/W2166624857","https://openalex.org/W2899025944"],"abstract_inverted_index":{"Electroencephalogram":[0],"(EEG)":[1],"signals":[2,73],"are":[3,23,59,74],"widely":[4],"used":[5,68,152],"to":[6,27,47,69,97,146,157],"detect":[7],"epileptic":[8],"seizures":[9,55],"in":[10,161],"a":[11,42,80,103,159],"patient's":[12],"neuronal":[13],"activity.":[14],"Since":[15],"visual":[16],"inspection":[17],"and":[18,25,56,113,144],"interpretation":[19],"of":[20,76,94],"EEG":[21,51,72],"signal":[22],"time-consuming":[24],"prone":[26],"errors,":[28],"various":[29],"computer-aided":[30],"diagnostic":[31],"(CAD)":[32],"tools":[33],"have":[34],"been":[35],"proposed.":[36],"In":[37],"this":[38],"paper,":[39],"we":[40,119],"present":[41],"novel":[43],"automated":[44],"detection":[45],"system":[46,127,136,156],"distinguish":[48],"between":[49],"intracranial":[50],"time":[52],"courses":[53],"with":[54,115],"those":[57],"that":[58],"seizure-free":[60],"based":[61],"on":[62],"complexity":[63],"measures.":[64],"Specifically,":[65],"the":[66,71,86,92,109,129],"features":[67],"characterize":[70],"estimates":[75,96],"multiscaling":[77],"properties":[78],"over":[79],"large":[81],"spectrum":[82],"measured":[83],"by":[84],"using":[85,102],"generalized":[87],"Hurst":[88],"exponent.":[89],"We":[90],"tested":[91],"capacity":[93],"these":[95],"correctly":[98],"classify":[99],"seizure":[100],"intervals":[101],"publicly":[104],"available":[105],"data":[106],"set.":[107],"Using":[108],"k-nearest":[110],"neighbor":[111],"classifier":[112],"testing":[114],"tenfold":[116],"cross":[117],"validation,":[118],"achieved":[120],"100%":[121],"accurate":[122,140],"classification.":[123],"Our":[124],"proposed":[125],"CAD":[126,135],"outperformed":[128],"existing":[130],"state-of-the-art":[131],"models.":[132],"Moreover,":[133],"our":[134],"is":[137],"not":[138],"only":[139],"but":[141],"also":[142],"fast":[143],"simple":[145],"implement.":[147],"Therefore,":[148],"it":[149],"can":[150],"be":[151],"as":[153],"an":[154],"expert":[155],"support":[158],"decision":[160],"clinical":[162],"applications.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}