{"id":"https://openalex.org/W4407692415","doi":"https://doi.org/10.1109/dsit61374.2024.10881520","title":"EEG signals based automated epilepsy detection using tunable-Q wavelet transform and Hjorth parameters","display_name":"EEG signals based automated epilepsy detection using tunable-Q wavelet transform and Hjorth parameters","publication_year":2024,"publication_date":"2024-12-20","ids":{"openalex":"https://openalex.org/W4407692415","doi":"https://doi.org/10.1109/dsit61374.2024.10881520"},"language":"en","primary_location":{"id":"doi:10.1109/dsit61374.2024.10881520","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsit61374.2024.10881520","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Data Science and Information Technology (DSIT)","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/A5100377576","display_name":"Kun Li","orcid":"https://orcid.org/0000-0003-2012-2593"},"institutions":[{"id":"https://openalex.org/I133270356","display_name":"Tianjin University of Technology and Education","ror":"https://ror.org/035gwtk09","country_code":"CN","type":"education","lineage":["https://openalex.org/I133270356"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kun Li","raw_affiliation_strings":["University of Technology and Education,School of Information Technology Engineering,Tianjin,China"],"affiliations":[{"raw_affiliation_string":"University of Technology and Education,School of Information Technology Engineering,Tianjin,China","institution_ids":["https://openalex.org/I133270356"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013452259","display_name":"Meili Lu","orcid":"https://orcid.org/0009-0000-6028-033X"},"institutions":[{"id":"https://openalex.org/I133270356","display_name":"Tianjin University of Technology and Education","ror":"https://ror.org/035gwtk09","country_code":"CN","type":"education","lineage":["https://openalex.org/I133270356"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meili Lu","raw_affiliation_strings":["University of Technology and Education,School of Information Technology Engineering,Tianjin,China"],"affiliations":[{"raw_affiliation_string":"University of Technology and Education,School of Information Technology Engineering,Tianjin,China","institution_ids":["https://openalex.org/I133270356"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100377576"],"corresponding_institution_ids":["https://openalex.org/I133270356"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27862777,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"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":0.9835000038146973,"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":0.9835000038146973,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7384315133094788},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.5730940103530884},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5719779133796692},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5708526372909546},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4999377727508545},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45932599902153015},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4535336494445801},{"id":"https://openalex.org/keywords/continuous-wavelet-transform","display_name":"Continuous wavelet transform","score":0.4460952579975128},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4056531488895416},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.3887408673763275},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.09004038572311401},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07851237058639526}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7384315133094788},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.5730940103530884},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5719779133796692},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5708526372909546},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4999377727508545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45932599902153015},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4535336494445801},{"id":"https://openalex.org/C95722684","wikidata":"https://www.wikidata.org/wiki/Q2622756","display_name":"Continuous wavelet transform","level":5,"score":0.4460952579975128},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4056531488895416},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.3887408673763275},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.09004038572311401},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07851237058639526}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsit61374.2024.10881520","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsit61374.2024.10881520","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Data Science and Information Technology (DSIT)","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":11,"referenced_works":["https://openalex.org/W2020028925","https://openalex.org/W2026118521","https://openalex.org/W2080462706","https://openalex.org/W2099169745","https://openalex.org/W2112797878","https://openalex.org/W2128495200","https://openalex.org/W2134050473","https://openalex.org/W2593774412","https://openalex.org/W2618016456","https://openalex.org/W2891437665","https://openalex.org/W2967087414"],"related_works":["https://openalex.org/W183670115","https://openalex.org/W4245420407","https://openalex.org/W1501179639","https://openalex.org/W3199035354","https://openalex.org/W2085792030","https://openalex.org/W4401371153","https://openalex.org/W1807354010","https://openalex.org/W3143644526","https://openalex.org/W2077021924","https://openalex.org/W2094847008"],"abstract_inverted_index":{"In":[0,41],"recent":[1],"years,":[2],"electroencephalogram":[3],"(EEG)":[4],"signals":[5],"have":[6],"been":[7],"increasingly":[8],"used":[9,64],"in":[10,33,138],"the":[11,19,34,67,73,80,91,101,112,118,127,135,146],"automatic":[12,119],"identification":[13],"of":[14,18,104,148],"brain":[15],"diseases.":[16],"Most":[17],"current":[20],"EEG-based":[21],"methods":[22],"for":[23],"epilepsy":[24,120],"classification":[25,132],"focused":[26],"on":[27,100],"single":[28],"dimensional":[29],"feature":[30,49],"extraction":[31,50],"techniques":[32],"time":[35],"domain":[36,48],"or":[37],"frequency":[38,88,106,136],"domain,":[39],"respectively.":[40],"this":[42],"paper,we":[43],"proposed":[44],"a":[45,130],"joint":[46],"time-frequency":[47],"method":[51,128],"using":[52],"tunable-Q":[53,60],"wavelet":[54,61],"transform":[55,62],"and":[56,84,90,96,143],"Hjorth":[57,92],"parameters.":[58],"The":[59,122],"is":[63],"to":[65,79,111,116],"decompose":[66],"EEG":[68],"signal":[69],"into":[70,86],"different":[71,87,105],"subbands,":[72],"optimal":[74,102],"subbands":[75],"are":[76,98,109,141],"calculated":[77,99],"according":[78],"maximum":[81],"energy":[82],"criterion":[83],"divided":[85],"ranges,":[89,107],"parameters":[93],"(activity,":[94],"mobility,":[95],"complexity)":[97],"self-bands":[103],"which":[108,139],"applied":[110],"machine":[113],"learning":[114],"algorithm":[115],"realize":[117],"detection.":[121,151],"experimental":[123],"results":[124],"show":[125],"that":[126],"has":[129],"high":[131],"accuracy,":[133],"determines":[134],"range":[137],"seizures":[140],"active":[142],"further":[144],"improves":[145],"accuracy":[147],"automated":[149],"seizure":[150]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
