{"id":"https://openalex.org/W2566881224","doi":"https://doi.org/10.1109/smartcloud.2016.40","title":"EEG Detection Based on Wavelet Transform and SVM Method","display_name":"EEG Detection Based on Wavelet Transform and SVM Method","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2566881224","doi":"https://doi.org/10.1109/smartcloud.2016.40","mag":"2566881224"},"language":"en","primary_location":{"id":"doi:10.1109/smartcloud.2016.40","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartcloud.2016.40","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Smart Cloud (SmartCloud)","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/A5100373372","display_name":"Chun Chen","orcid":"https://orcid.org/0000-0002-9715-5476"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chun Chen","raw_affiliation_strings":["Shenzhen Inst. of Adv. Technol., Shenzhen, China","Chinese Academy of Sciences, Beijing, Beijing, CN"],"affiliations":[{"raw_affiliation_string":"Shenzhen Inst. of Adv. Technol., Shenzhen, China","institution_ids":["https://openalex.org/I158809036"]},{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100459809","display_name":"Zhichao Liu","orcid":"https://orcid.org/0000-0003-1952-2370"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhichao Liu","raw_affiliation_strings":["Shenzhen Inst. of Adv. Technol., Shenzhen, China","Chinese Academy of Sciences, Beijing, Beijing, CN"],"affiliations":[{"raw_affiliation_string":"Shenzhen Inst. of Adv. Technol., Shenzhen, China","institution_ids":["https://openalex.org/I158809036"]},{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103008855","display_name":"Hongna Li","orcid":"https://orcid.org/0000-0002-8994-2664"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongna Li","raw_affiliation_strings":["Shenzhen Inst. of Adv. Technol., Shenzhen, China","Chinese Academy of Sciences, Beijing, Beijing, CN"],"affiliations":[{"raw_affiliation_string":"Shenzhen Inst. of Adv. Technol., Shenzhen, China","institution_ids":["https://openalex.org/I158809036"]},{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066405059","display_name":"Rong Zhou","orcid":"https://orcid.org/0000-0002-8527-0020"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Zhou","raw_affiliation_strings":["Shenzhen Inst. of Adv. Technol., Shenzhen, China","Chinese Academy of Sciences, Beijing, Beijing, CN"],"affiliations":[{"raw_affiliation_string":"Shenzhen Inst. of Adv. Technol., Shenzhen, China","institution_ids":["https://openalex.org/I158809036"]},{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100419847","display_name":"Yong Zhang","orcid":"https://orcid.org/0000-0003-1024-5741"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhang","raw_affiliation_strings":["Shenzhen Inst. of Adv. Technol., Shenzhen, China","Chinese Academy of Sciences, Beijing, Beijing, CN"],"affiliations":[{"raw_affiliation_string":"Shenzhen Inst. of Adv. Technol., Shenzhen, China","institution_ids":["https://openalex.org/I158809036"]},{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063427633","display_name":"Renkai Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Renkai Liu","raw_affiliation_strings":["Dept. of Neurology, Shenzhen Nanshan people's Hosp., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Dept. of Neurology, Shenzhen Nanshan people's Hosp., Shenzhen, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100373372"],"corresponding_institution_ids":["https://openalex.org/I158809036","https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":0.65,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.70566522,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"241","last_page":"247"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9908999800682068,"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/T10320","display_name":"Neural Networks and Applications","score":0.9710999727249146,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/electroencephalography","display_name":"Electroencephalography","score":0.8083580732345581},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7791374325752258},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7494434118270874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6703296899795532},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.6272310018539429},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6093931794166565},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5819918513298035},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5302813649177551},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4960518777370453},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4548530876636505},{"id":"https://openalex.org/keywords/epileptic-seizure","display_name":"Epileptic seizure","score":0.42992785573005676},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.379883736371994},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35788851976394653},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08883827924728394},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.08167502284049988}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.8083580732345581},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7791374325752258},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7494434118270874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6703296899795532},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.6272310018539429},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6093931794166565},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5819918513298035},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5302813649177551},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4960518777370453},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4548530876636505},{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.42992785573005676},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.379883736371994},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35788851976394653},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08883827924728394},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.08167502284049988},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smartcloud.2016.40","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartcloud.2016.40","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Smart Cloud (SmartCloud)","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":20,"referenced_works":["https://openalex.org/W339803138","https://openalex.org/W1528620860","https://openalex.org/W1563088657","https://openalex.org/W1971386783","https://openalex.org/W1972322883","https://openalex.org/W1980320989","https://openalex.org/W2004217976","https://openalex.org/W2021970732","https://openalex.org/W2026217312","https://openalex.org/W2060441889","https://openalex.org/W2098577099","https://openalex.org/W2098659091","https://openalex.org/W2138580453","https://openalex.org/W2153378539","https://openalex.org/W2159025673","https://openalex.org/W2790718085","https://openalex.org/W4214540058","https://openalex.org/W6633442887","https://openalex.org/W6643342412","https://openalex.org/W6682759514"],"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/W2049513647","https://openalex.org/W2090763504","https://openalex.org/W2077021924","https://openalex.org/W2166624857"],"abstract_inverted_index":{"Epilepsy":[0],"refers":[1],"to":[2,52,74],"a":[3,22,91,112,133,143,175],"set":[4],"of":[5,15,32,44,69,84,125,146,187],"chronic":[6],"neurologicalsyndromes":[7],"characterized":[8],"by":[9,61],"transient":[10],"and":[11,27,35,42,76,95,102,170],"unexpected":[12],"electrical":[13,30],"disturbances":[14],"the":[16,29,33,40,54,58,82,119,123,126,140,149,154,159,184,190],"brain.":[17],"Scalp":[18],"Electroencephalogram":[19],"(EEG)":[20],"is":[21,36,49,111],"common":[23],"test":[24],"that":[25],"measures":[26],"records":[28],"activity":[31],"brain,":[34],"widely":[37],"used":[38],"in":[39,57,66],"detection":[41],"analysis":[43,94],"epileptic":[45],"seizures.":[46],"However,":[47],"it":[48],"often":[50],"difficult":[51],"identify":[53],"subtle":[55,86],"changes":[56],"EEG":[59,92,151],"waveform":[60],"visual":[62],"inspection.":[63],"Then,":[64],"emerge":[65],"large":[67,177],"numbers":[68],"research":[70],"for":[71,81,132,183,192],"biomedical":[72],"engineers":[73],"develop":[75],"implement":[77],"several":[78],"intelligent":[79],"algorithms":[80],"identification":[83],"such":[85,180],"changes.":[87],"This":[88],"paper":[89],"presents":[90],"signal":[93],"forecasting":[96],"technique":[97,116],"based":[98],"on":[99],"wavelet":[100],"transform":[101],"support":[103],"vector":[104],"machine":[105],"classification":[106],"method.":[107],"The":[108,115,172],"main":[109],"procedure":[110],"dynamic":[113],"circulation.":[114],"first":[117],"train":[118],"given":[120],"datasets,":[121],"obtain":[122],"value":[124],"parameter,":[127],"then":[128],"automatically":[129],"multi-time":[130],"decompose":[131],"new":[134],"person's":[135,150],"brain":[136],"signals,":[137],"predict":[138],"whether":[139],"person":[141,160],"has":[142,161,174],"characteristic":[144],"wave":[145],"epilepsy,":[147],"add":[148],"data":[152,167],"into":[153],"SVM":[155],"training":[156],"model":[157],"if":[158],"epilepsy":[162],"abnormal":[163],"signal,":[164],"combined":[165],"withabnormal":[166],"before":[168],"retraining":[169],"learning.":[171],"method":[173],"very":[176],"potential":[178],"uses,":[179],"as":[181],"application":[182],"initial":[185],"diagnosis":[186],"patients,":[188],"improving":[189],"efficiency":[191],"doctors.":[193]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}