{"id":"https://openalex.org/W1516301892","doi":"https://doi.org/10.1109/iscas.2015.7168569","title":"Seizure detection exploiting EMD-wavelet analysis of EEG signals","display_name":"Seizure detection exploiting EMD-wavelet analysis of EEG signals","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1516301892","doi":"https://doi.org/10.1109/iscas.2015.7168569","mag":"1516301892"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2015.7168569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2015.7168569","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5028676188","display_name":"Celia Shahnaz","orcid":"https://orcid.org/0000-0002-8660-0335"},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"C. Shahnaz","raw_affiliation_strings":["Department of Electrical and Electronic Engineering Bangladesh University of Engineering and Technology Dhaka, Bangladesh","Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering Bangladesh University of Engineering and Technology Dhaka, Bangladesh","institution_ids":["https://openalex.org/I183697816"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh#TAB#","institution_ids":["https://openalex.org/I183697816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051685068","display_name":"R. H. Md. Rafi","orcid":"https://orcid.org/0009-0000-8788-087X"},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"R. H. Md. Rafi","raw_affiliation_strings":["Department of Electrical and Electronic Engineering Bangladesh University of Engineering and Technology Dhaka, Bangladesh","Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering Bangladesh University of Engineering and Technology Dhaka, Bangladesh","institution_ids":["https://openalex.org/I183697816"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh#TAB#","institution_ids":["https://openalex.org/I183697816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074606314","display_name":"Shaikh Anowarul Fattah","orcid":"https://orcid.org/0000-0001-8090-2327"},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"S. A. Fattah","raw_affiliation_strings":["Department of Electrical and Electronic Engineering Bangladesh University of Engineering and Technology Dhaka, Bangladesh","Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering Bangladesh University of Engineering and Technology Dhaka, Bangladesh","institution_ids":["https://openalex.org/I183697816"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh#TAB#","institution_ids":["https://openalex.org/I183697816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033247734","display_name":"Wei\u2010Ping Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"W.-P. Zhu","raw_affiliation_strings":["Department of Electrical and Computer Engineering Concordia University Montreal, Canada","[Department of Electrical and Computer Engineering, Concordia University, Montr\u00e9al, Canada]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering Concordia University Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"[Department of Electrical and Computer Engineering, Concordia University, Montr\u00e9al, Canada]","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068820891","display_name":"M. Omair Ahmad","orcid":"https://orcid.org/0000-0002-2924-6659"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. O. Ahmad","raw_affiliation_strings":["Department of Electrical and Computer Engineering Concordia University Montreal, Canada","[Department of Electrical and Computer Engineering, Concordia University, Montr\u00e9al, Canada]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering Concordia University Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"[Department of Electrical and Computer Engineering, Concordia University, Montr\u00e9al, Canada]","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5028676188"],"corresponding_institution_ids":["https://openalex.org/I183697816"],"apc_list":null,"apc_paid":null,"fwci":0.6452,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.6668944,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"64","issue":null,"first_page":"57","last_page":"60"},"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9972000122070312,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.994700014591217,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7999311685562134},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.6912545561790466},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.686894953250885},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6675460934638977},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.6183173656463623},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.589677095413208},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5798993110656738},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5120830535888672},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.501401424407959},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4943702220916748},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.47707995772361755},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44770482182502747},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.42307528853416443},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39855068922042847},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.3775763213634491},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3638675808906555},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23864513635635376},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16065776348114014}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7999311685562134},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.6912545561790466},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.686894953250885},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6675460934638977},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.6183173656463623},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.589677095413208},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5798993110656738},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5120830535888672},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.501401424407959},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4943702220916748},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.47707995772361755},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44770482182502747},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.42307528853416443},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39855068922042847},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.3775763213634491},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3638675808906555},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23864513635635376},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16065776348114014},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2015.7168569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2015.7168569","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1990441178","https://openalex.org/W2021970732","https://openalex.org/W2031816776","https://openalex.org/W2035381272","https://openalex.org/W2050209058","https://openalex.org/W2053744708","https://openalex.org/W2080966422","https://openalex.org/W2098395403","https://openalex.org/W2114942458","https://openalex.org/W2145341337"],"related_works":["https://openalex.org/W2085792030","https://openalex.org/W1588899229","https://openalex.org/W2023142747","https://openalex.org/W2172291505","https://openalex.org/W2037009764","https://openalex.org/W2063036707","https://openalex.org/W2501033992","https://openalex.org/W2377605153","https://openalex.org/W1967182499","https://openalex.org/W2088723847"],"abstract_inverted_index":{"In":[0,61],"his":[1],"paper":[2],"a":[3,103,114,140],"method":[4,124,142],"of":[5,19,31,51,67,74,127],"seizure":[6,95],"detection":[7],"has":[8],"been":[9],"proposed":[10,123],"based":[11],"on":[12],"the":[13,20,27,32,36,46,52,65,68,122,144],"Discrete":[14],"Wavelet":[15],"Transform":[16],"(DWT)":[17],"analysis":[18],"dominant":[21,53],"Intrinsic":[22],"mode":[23],"function(IMF)":[24],"resulting":[25],"from":[26],"Empirical":[28],"Mode":[29],"Decomposition(EMD)":[30],"EEG":[33,98,116,146],"signals.":[34],"Considering":[35],"normalized":[37],"energy,":[38],"Fourier":[39],"spectrum":[40],"and":[41,96,132,148],"cross-correlation":[42],"coefficient":[43],"analysis,":[44],"only":[45],"4th":[47],"Level":[48],"DWT":[49],"coefficients":[50,76],"IMF":[54],"is":[55,90,119,125],"found":[56,91],"reasonable":[57],"for":[58,93],"feature":[59,69,82,86],"computation.":[60],"order":[62,72],"to":[63,79,102,136],"reduce":[64],"dimension":[66],"vector,":[70],"Higher":[71],"statistics":[73],"these":[75],"are":[77,110],"employed":[78],"form":[80],"he":[81],"vector.":[83],"The":[84],"reduced":[85],"vector":[87],"thus":[88],"formed":[89],"effective":[92],"distinguishing":[94],"non-seizure":[97],"signals":[99],"when":[100],"fed":[101],"k-nearest":[104],"neighborhood":[105],"(k-NN)":[106],"classifier.":[107,149],"Extensive":[108],"simulations":[109],"carried":[111],"out":[112],"using":[113,143],"benchmark":[115],"dataset.":[117],"It":[118],"shown":[120],"that":[121,137],"capable":[126],"producing":[128],"greater":[129],"sensitivity,":[130],"specificity":[131],"accuracy":[133],"in":[134],"comparison":[135],"obtained":[138],"by":[139],"sate-of-the-art":[141],"same":[145],"dataset":[147]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
