{"id":"https://openalex.org/W2159783906","doi":"https://doi.org/10.1109/icassp.2011.5946487","title":"Neonatal seizure detection using blind multichannel information fusion","display_name":"Neonatal seizure detection using blind multichannel information fusion","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2159783906","doi":"https://doi.org/10.1109/icassp.2011.5946487","mag":"2159783906"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2011.5946487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5101422049","display_name":"Huaying Li","orcid":"https://orcid.org/0000-0002-8582-8725"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Huaying Li","raw_affiliation_strings":["Department of Electrical and Computer Engineering, McMaster University, Hamilton, ONT, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, McMaster University, Hamilton, ONT, Canada","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080385523","display_name":"Aleksandar Jeremi\u0107","orcid":"https://orcid.org/0000-0002-9350-0121"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Aleksandar Jeremic","raw_affiliation_strings":["Department of Electrical and Computer Engineering, McMaster University, Hamilton, ONT, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, McMaster University, Hamilton, ONT, Canada","institution_ids":["https://openalex.org/I98251732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I98251732"],"apc_list":null,"apc_paid":null,"fwci":0.3657,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67613636,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"649","last_page":"652"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9961000084877014,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9951000213623047,"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":0.700986385345459},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6618466377258301},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6296834349632263},{"id":"https://openalex.org/keywords/neonatal-seizure","display_name":"Neonatal seizure","score":0.5634196996688843},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5412397384643555},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45672187209129333},{"id":"https://openalex.org/keywords/neurophysiology","display_name":"Neurophysiology","score":0.455101877450943},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4413028955459595},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3864714801311493},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.35474956035614014},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.18689259886741638},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08890306949615479}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.700986385345459},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6618466377258301},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6296834349632263},{"id":"https://openalex.org/C2780208886","wikidata":"https://www.wikidata.org/wiki/Q18967838","display_name":"Neonatal seizure","level":3,"score":0.5634196996688843},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5412397384643555},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45672187209129333},{"id":"https://openalex.org/C152478114","wikidata":"https://www.wikidata.org/wiki/Q660910","display_name":"Neurophysiology","level":2,"score":0.455101877450943},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4413028955459595},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3864714801311493},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.35474956035614014},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18689259886741638},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08890306949615479},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2011.5946487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1637157786","https://openalex.org/W2004215803","https://openalex.org/W2024011138","https://openalex.org/W2070736605","https://openalex.org/W2099952381","https://openalex.org/W2127413571","https://openalex.org/W2128791381","https://openalex.org/W2145751039"],"related_works":["https://openalex.org/W2915014248","https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W4388311650","https://openalex.org/W2130428257","https://openalex.org/W5922282","https://openalex.org/W1974056099","https://openalex.org/W2533359699","https://openalex.org/W2373670298","https://openalex.org/W2382101866"],"abstract_inverted_index":{"Seizure":[0],"is":[1,24,83],"the":[2,18,40,61,70,74,93,96,111,115,118],"result":[3],"of":[4,8,60,79,92,117],"excessive":[5],"electrical":[6],"discharges":[7],"neurons,":[9],"which":[10,99],"usually":[11],"develops":[12],"synchronously":[13],"and":[14,64,95],"happens":[15],"suddenly":[16],"in":[17,73,103],"central":[19],"nervous":[20],"system.":[21],"Clinically,":[22],"it":[23,85],"difficult":[25],"for":[26],"physician":[27],"to":[28,68,113],"identify":[29],"neonatal":[30,120],"seizures":[31,35],"visually,":[32],"while":[33],"EEG":[34],"can":[36],"be":[37],"recognized":[38],"by":[39],"trained":[41],"experts.":[42],"By":[43],"extending":[44],"our":[45],"previous":[46],"results":[47],"on":[48],"multichannel":[49],"information":[50],"fusion,":[51],"we":[52],"propose":[53],"an":[54],"automated":[55],"distributed":[56],"detection":[57],"system":[58],"consisting":[59],"existing":[62,119],"detectors":[63],"a":[65],"fusion":[66],"center":[67],"detect":[69],"seizure":[71,121],"activities":[72],"newborn":[75],"EEG.":[76],"The":[77],"advantage":[78],"this":[80,107],"proposed":[81,108],"technique":[82,109],"that":[84],"does":[86],"not":[87],"require":[88],"any":[89],"priori":[90],"knowledge":[91],"hypotheses":[94],"detector":[97],"performances,":[98],"are":[100],"often":[101],"unknown":[102],"real":[104],"applications.":[105],"Therefore,":[106],"has":[110],"potential":[112],"improve":[114],"performances":[116],"detectors.":[122]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}