{"id":"https://openalex.org/W2793959634","doi":"https://doi.org/10.1145/3163080.3163124","title":"Spatial Feature Reduction in Long-term EEG for Patient-specific Epileptic Seizure Event Detection","display_name":"Spatial Feature Reduction in Long-term EEG for Patient-specific Epileptic Seizure Event Detection","publication_year":2017,"publication_date":"2017-11-27","ids":{"openalex":"https://openalex.org/W2793959634","doi":"https://doi.org/10.1145/3163080.3163124","mag":"2793959634"},"language":"en","primary_location":{"id":"doi:10.1145/3163080.3163124","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3163080.3163124","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Signal Processing Systems","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/A5056446700","display_name":"Nipun D. Perera","orcid":"https://orcid.org/0000-0002-8173-4529"},"institutions":[{"id":"https://openalex.org/I195740183","display_name":"University of Moratuwa","ror":"https://ror.org/0491f5305","country_code":"LK","type":"education","lineage":["https://openalex.org/I195740183"]}],"countries":["LK"],"is_corresponding":true,"raw_author_name":"Nipun Dilesh Perera","raw_affiliation_strings":["University of Moratuwa"],"affiliations":[{"raw_affiliation_string":"University of Moratuwa","institution_ids":["https://openalex.org/I195740183"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110838594","display_name":"Chamara Madarasingha","orcid":null},"institutions":[{"id":"https://openalex.org/I195740183","display_name":"University of Moratuwa","ror":"https://ror.org/0491f5305","country_code":"LK","type":"education","lineage":["https://openalex.org/I195740183"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"Chamara Madarasingha","raw_affiliation_strings":["University of Moratuwa"],"affiliations":[{"raw_affiliation_string":"University of Moratuwa","institution_ids":["https://openalex.org/I195740183"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056278580","display_name":"Anjula De Silva","orcid":"https://orcid.org/0000-0001-8685-2076"},"institutions":[{"id":"https://openalex.org/I195740183","display_name":"University of Moratuwa","ror":"https://ror.org/0491f5305","country_code":"LK","type":"education","lineage":["https://openalex.org/I195740183"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"Anjula C. De Silva","raw_affiliation_strings":["University of Moratuwa"],"affiliations":[{"raw_affiliation_string":"University of Moratuwa","institution_ids":["https://openalex.org/I195740183"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5056446700"],"corresponding_institution_ids":["https://openalex.org/I195740183"],"apc_list":null,"apc_paid":null,"fwci":0.3845,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.6128615,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"230","last_page":"234"},"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":0.9965000152587891,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9939000010490417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7891436815261841},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.694938063621521},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6682361364364624},{"id":"https://openalex.org/keywords/epileptic-seizure","display_name":"Epileptic seizure","score":0.6357002854347229},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5291224718093872},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5073150992393494},{"id":"https://openalex.org/keywords/scalp","display_name":"Scalp","score":0.5027627944946289},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4709784984588623},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.44931477308273315},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.41200166940689087},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3376613259315491},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.17974543571472168},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1517539620399475},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.13143622875213623}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7891436815261841},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.694938063621521},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6682361364364624},{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.6357002854347229},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5291224718093872},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5073150992393494},{"id":"https://openalex.org/C2778515351","wikidata":"https://www.wikidata.org/wiki/Q9622","display_name":"Scalp","level":2,"score":0.5027627944946289},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4709784984588623},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.44931477308273315},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.41200166940689087},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3376613259315491},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.17974543571472168},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1517539620399475},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.13143622875213623},{"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/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3163080.3163124","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3163080.3163124","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Signal Processing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1973525977","https://openalex.org/W1979148805","https://openalex.org/W1985487661","https://openalex.org/W2041935121","https://openalex.org/W2043596210","https://openalex.org/W2050018615","https://openalex.org/W2056349259","https://openalex.org/W2073182108","https://openalex.org/W2077746856","https://openalex.org/W2113957296","https://openalex.org/W2122923860","https://openalex.org/W2129309861","https://openalex.org/W2138190513","https://openalex.org/W2162800060","https://openalex.org/W2171782446","https://openalex.org/W2262540386"],"related_works":["https://openalex.org/W2126108552","https://openalex.org/W2008167394","https://openalex.org/W36837324","https://openalex.org/W2588429911","https://openalex.org/W2071974719","https://openalex.org/W3037660442","https://openalex.org/W1971410108","https://openalex.org/W2023557687","https://openalex.org/W2093730284","https://openalex.org/W2407422831"],"abstract_inverted_index":{"Seizure":[0],"is":[1,56,106,127,159],"a":[2,51,115,148,162,176],"common":[3],"phenomenon":[4],"among":[5],"patients":[6,145],"with":[7,42,46,69,192,219],"epilepsy.":[8],"Detection":[9],"of":[10,165,179,210,212,217,223,230],"seizure":[11,23,53,96,133,154,189,233],"at":[12,139],"the":[13,43,61,168,231],"onset":[14,26],"enables":[15],"immediate":[16],"actions":[17],"to":[18,39,60,86,108,119,129,160],"be":[19,40,136,186],"taken.":[20],"However,":[21],"real-time":[22,151],"event":[24,155],"and":[25,113,146,153,174,206],"detection":[27,54,97,180,211],"in":[28,67,83,99,171,188,203],"an":[29,121,207,214,220],"ambulatory":[30],"epilepsy":[31],"patient":[32,62,94],"using":[33,138],"continuous":[34],"scalp":[35],"EEG":[36,70,117,198],"monitoring":[37,152],"proves":[38],"difficult":[41],"hardware":[44,194],"associated":[45],"signal":[47],"acquisition.":[48],"Furthermore,":[49],"developing":[50],"universal":[52],"algorithm":[55,184],"not":[57],"applicable":[58],"due":[59],"dependence.":[63],"The":[64,157],"prominent":[65],"challenge":[66],"working":[68],"its":[71],"non-stationarity.":[72],"Hence,":[73],"time-frequency":[74],"methods":[75],"such":[76],"as":[77],"wavelet":[78,110],"analysis":[79],"have":[80,225],"been":[81,201,226],"used":[82,107,187,202],"recent":[84],"research,":[85],"develop":[87,93,147],"algorithms.":[88],"In":[89],"this":[90,183,204],"study,":[91],"we":[92],"specific":[95],"system":[98,149],"which,":[100],"Discrete":[101],"Wavelet":[102],"Packet":[103],"Transform":[104],"(DWPT)":[105],"extract":[109],"packet":[111],"energy":[112],"use":[114],"single":[116],"channel":[118],"train":[120],"offline":[122],"SVM":[123],"classifier.":[124],"This":[125],"study":[126,205],"conducted":[128],"prove":[130],"that":[131,182],"accurate":[132],"prediction":[134],"can":[135],"performed":[137],"most":[140,144],"two":[141],"channels":[142],"for":[143,150,228],"detection.":[156],"objective":[158],"maintain":[161],"high":[163],"level":[164],"accuracy":[166],"despite":[167],"drastic":[169],"reduction":[170],"spatial":[172],"features":[173],"achieve":[175],"low":[177],"latency":[178,222],"so":[181],"could":[185],"alert":[190],"devices":[191],"less":[193],"complexity.":[195],"CHB-MIT":[196],"Scalp":[197],"database":[199],"has":[200],"average":[208,215,221],"sensitivity":[209],"90.3%":[213],"specificity":[216],"99%":[218],"3.41s":[224],"achieved":[227],"60%":[229],"epileptic":[232],"subjects":[234],"considered.":[235]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
