{"id":"https://openalex.org/W2043463628","doi":"https://doi.org/10.1109/bmei.2011.6098487","title":"Proposal for patient-specific automatic on-line detection of spike-and-wave discharges utilizing an artificial neural network","display_name":"Proposal for patient-specific automatic on-line detection of spike-and-wave discharges utilizing an artificial neural network","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W2043463628","doi":"https://doi.org/10.1109/bmei.2011.6098487","mag":"2043463628"},"language":"en","primary_location":{"id":"doi:10.1109/bmei.2011.6098487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2011.6098487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 4th International Conference on Biomedical Engineering and Informatics (BMEI)","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/A5073508220","display_name":"Tomohiko Igasaki","orcid":"https://orcid.org/0000-0002-8745-5133"},"institutions":[{"id":"https://openalex.org/I96036126","display_name":"Kumamoto University","ror":"https://ror.org/02cgss904","country_code":"JP","type":"education","lineage":["https://openalex.org/I96036126"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Tomohiko Igasaki","raw_affiliation_strings":["Graduate School of Science and Technology, Kumamoto University, Kumamoto, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Kumamoto University, Kumamoto, Japan","institution_ids":["https://openalex.org/I96036126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083254719","display_name":"Taiga Higuchi","orcid":null},"institutions":[{"id":"https://openalex.org/I96036126","display_name":"Kumamoto University","ror":"https://ror.org/02cgss904","country_code":"JP","type":"education","lineage":["https://openalex.org/I96036126"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Taiga Higuchi","raw_affiliation_strings":["Graduate School of Science and Technology, Kumamoto University, Kumamoto, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Kumamoto University, Kumamoto, Japan","institution_ids":["https://openalex.org/I96036126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063101552","display_name":"Yuki Hayashida","orcid":"https://orcid.org/0000-0002-1523-5385"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]},{"id":"https://openalex.org/I96036126","display_name":"Kumamoto University","ror":"https://ror.org/02cgss904","country_code":"JP","type":"education","lineage":["https://openalex.org/I96036126"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuki Hayashida","raw_affiliation_strings":["Graduate School of Engineering, Osaka University, Suita, Japan","Graduate School of Science and Technology, Kumamoto University, Kumamoto, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Osaka University, Suita, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Graduate School of Science and Technology, Kumamoto University, Kumamoto, Japan","institution_ids":["https://openalex.org/I96036126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009525811","display_name":"Nobuki Murayama","orcid":null},"institutions":[{"id":"https://openalex.org/I96036126","display_name":"Kumamoto University","ror":"https://ror.org/02cgss904","country_code":"JP","type":"education","lineage":["https://openalex.org/I96036126"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobuki Murayama","raw_affiliation_strings":["Graduate School of Science and Technology, Kumamoto University, Kumamoto, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Kumamoto University, Kumamoto, Japan","institution_ids":["https://openalex.org/I96036126"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051799561","display_name":"Ryuji Neshige","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ryuji Neshige","raw_affiliation_strings":["Neshige Clinic, Kurume, Japan"],"affiliations":[{"raw_affiliation_string":"Neshige Clinic, Kurume, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5073508220"],"corresponding_institution_ids":["https://openalex.org/I96036126"],"apc_list":null,"apc_paid":null,"fwci":0.30545751,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.56087148,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"110","issue":null,"first_page":"813","last_page":"817"},"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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":0.995199978351593,"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/backpropagation","display_name":"Backpropagation","score":0.7239575386047363},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6826539039611816},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6738126277923584},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6479476690292358},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5699172019958496},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.5658913254737854},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5541111826896667},{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.5365756750106812},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5291949510574341},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.4464970827102661},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.4446549713611603},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.39391815662384033},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10791537165641785},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10200920701026917},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.0971384346485138}],"concepts":[{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.7239575386047363},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6826539039611816},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6738126277923584},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6479476690292358},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5699172019958496},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.5658913254737854},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5541111826896667},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.5365756750106812},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5291949510574341},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.4464970827102661},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.4446549713611603},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39391815662384033},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10791537165641785},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10200920701026917},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0971384346485138},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"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/bmei.2011.6098487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2011.6098487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 4th International Conference on Biomedical Engineering and Informatics (BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1965481629","https://openalex.org/W2019445886","https://openalex.org/W2070356210","https://openalex.org/W2092634008","https://openalex.org/W2096148102","https://openalex.org/W2153106410","https://openalex.org/W2171428093"],"related_works":["https://openalex.org/W4239286941","https://openalex.org/W2088845016","https://openalex.org/W589102260","https://openalex.org/W1966421350","https://openalex.org/W1974895211","https://openalex.org/W2176409448","https://openalex.org/W2129841057","https://openalex.org/W3040712279","https://openalex.org/W2364769705","https://openalex.org/W2056136368"],"abstract_inverted_index":{"We":[0],"aimed":[1],"to":[2],"develop":[3],"an":[4,24,38,77],"automatic":[5,32,144],"on-line":[6,116,145],"detection":[7,34,117,146],"system":[8],"of":[9,35,50,61,66,72,76,147],"spike-and-wave":[10],"discharges":[11],"(SWDs),":[12],"which":[13],"are":[14],"peculiar":[15],"EEG":[16,74],"waveforms":[17],"in":[18,99],"epileptic":[19,39,78],"patients.":[20],"In":[21,114],"this":[22],"study,":[23],"artificial":[25],"neural":[26],"network":[27],"(ANN)":[28],"was":[29,45,84,131],"utilized":[30],"for":[31,37,47,122,143],"online":[33],"SWDs":[36,107,124],"patient.":[40],"Upon":[41],"detection,":[42],"100%":[43],"specificity":[44],"intended":[46],"the":[48,51,100,106,109,115,119,123,138],"safety":[49],"patient":[52],"during":[53],"possible":[54],"future":[55],"magnetic":[56],"stimulation":[57],"therapy.":[58],"Fifty-four":[59],"samples":[60,65],"SWD":[62],"and":[63,86,93,108],"fifteen":[64],"pseudo-SWD,":[67],"extracted":[68],"from":[69],"thirty":[70],"minutes":[71],"four-channel":[73],"signals":[75],"patient,":[79],"were":[80,111],"employed.":[81],"The":[82],"ANN":[83],"trained":[85],"examined":[87],"by":[88],"a":[89,94,127],"standard":[90],"backpropagation":[91],"algorithm":[92],"leave-one-out":[95],"cross-validation,":[96],"respectively.":[97],"Results":[98],"off-line":[101],"classification":[102],"section":[103],"showed":[104],"both":[105],"pseudo-SWDs":[110],"classified":[112],"perfectly.":[113],"section,":[118],"undetected":[120],"ratio":[121,130],"increased,":[125],"however,":[126],"0%":[128],"false-alarm":[129],"obtained.":[132],"Therefore,":[133],"it":[134],"is":[135,141],"suggested":[136],"that":[137],"proposed":[139],"method":[140],"effective":[142],"SWDs.":[148]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
