{"id":"https://openalex.org/W3005622451","doi":"https://doi.org/10.1109/icassp40776.2020.9054520","title":"Enhance feature representation of electroencephalogram for Seizure detection","display_name":"Enhance feature representation of electroencephalogram for Seizure detection","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3005622451","doi":"https://doi.org/10.1109/icassp40776.2020.9054520","mag":"3005622451"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9054520","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054520","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100632499","display_name":"Danyang Wang","orcid":"https://orcid.org/0000-0001-6930-5628"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Danyang Wang","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007282525","display_name":"Yuchun Fang","orcid":"https://orcid.org/0000-0002-7085-8876"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchun Fang","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427039","display_name":"Yifan Li","orcid":"https://orcid.org/0000-0002-5667-6670"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Li","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091519667","display_name":"Changfeng Chai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115928","display_name":"Changhai Hospital","ror":"https://ror.org/02bjs0p66","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210115928"]},{"id":"https://openalex.org/I177933477","display_name":"Second Military Medical University","ror":"https://ror.org/04tavpn47","country_code":"CN","type":"education","lineage":["https://openalex.org/I177933477"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changfeng Chai","raw_affiliation_strings":["Changhai Hospital, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Changhai Hospital, Shanghai, China","institution_ids":["https://openalex.org/I4210115928","https://openalex.org/I177933477"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100632499"],"corresponding_institution_ids":["https://openalex.org/I141962983"],"apc_list":null,"apc_paid":null,"fwci":0.2231,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.47628977,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":"2015","issue":null,"first_page":"1230","last_page":"1234"},"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":0.9891999959945679,"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/T14319","display_name":"Currency Recognition and Detection","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7142648100852966},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7009873390197754},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6715784668922424},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6559860110282898},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.6397622227668762},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5953749418258667},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.577172577381134},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5766996145248413},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5551260113716125},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.493510365486145},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.48016849160194397},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.42110979557037354},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.39403223991394043},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1750761866569519},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12444347143173218},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06726440787315369}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7142648100852966},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7009873390197754},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6715784668922424},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6559860110282898},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.6397622227668762},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5953749418258667},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.577172577381134},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5766996145248413},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5551260113716125},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.493510365486145},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.48016849160194397},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.42110979557037354},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39403223991394043},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1750761866569519},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12444347143173218},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06726440787315369},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9054520","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054520","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W122568889","https://openalex.org/W1631724761","https://openalex.org/W1877153489","https://openalex.org/W1985258161","https://openalex.org/W2062826588","https://openalex.org/W2102251411","https://openalex.org/W2106924112","https://openalex.org/W2119821739","https://openalex.org/W2137818765","https://openalex.org/W2584043716","https://openalex.org/W2588784603","https://openalex.org/W2618613105","https://openalex.org/W2728209061","https://openalex.org/W2783981704","https://openalex.org/W2794422422","https://openalex.org/W4238530616","https://openalex.org/W4239510810","https://openalex.org/W4320301321","https://openalex.org/W6747547957"],"related_works":["https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W2130428257","https://openalex.org/W4308951944","https://openalex.org/W2057366091","https://openalex.org/W4312960290","https://openalex.org/W2021595906","https://openalex.org/W2236178445","https://openalex.org/W2010456997","https://openalex.org/W2032664813"],"abstract_inverted_index":{"In":[0,35],"the":[1,8,19,25,54,63,73,80,92,111,124,128,133],"treatment":[2],"of":[3,24,28,113,120,132],"epilepsy":[4],"with":[5,69],"intracranial":[6],"electroencephalogram(iEEG),":[7],"recognition":[9],"accuracy":[10],"is":[11,15],"low,":[12],"and":[13,31,90,107],"it":[14],"difficult":[16],"to":[17,37,61,66,86,110],"find":[18],"correlation":[20,89],"between":[21],"channels":[22],"because":[23],"large":[26],"amount":[27],"channel":[29,83,88,105],"numbers":[30],"time":[32],"series":[33],"data.":[34],"order":[36],"solve":[38],"these":[39],"problems,":[40],"we":[41,77],"propose":[42,60,79],"a":[43],"novel":[44],"EEG":[45,67,114],"feature":[46,108],"pre-presentation":[47],"method":[48,100],"for":[49],"seizure":[50],"detection":[51],"based":[52],"on":[53],"Log":[55],"Mel-Filterbank":[56,64],"energy":[57,65],"feature.":[58],"We":[59],"adapt":[62],"features":[68],"logrithm":[70],"transform":[71],"in":[72,104],"frequency":[74],"domain.":[75],"Meanwhile,":[76],"also":[78],"sequential":[81],"forward":[82],"selection(SFCS)":[84],"algorithm":[85],"incorporate":[87],"balance":[91],"computing":[93],"consumption.":[94],"Experiments":[95],"show":[96],"that":[97],"our":[98],"proposed":[99],"have":[101],"significant":[102],"contributions":[103],"selection":[106],"representation":[109],"problem":[112],"signal":[115],"analysis.":[116],"The":[117],"average":[118],"results":[119],"experiments":[121],"judged":[122],"by":[123],"mean":[125],"area":[126],"under":[127],"ROC":[129],"curve":[130],"(AUC)":[131],"probability":[134],"reach":[135],"99.13%.":[136]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
