{"id":"https://openalex.org/W4311224653","doi":"https://doi.org/10.1109/icecs202256217.2022.9970844","title":"Computation Complexity Reduction Technique for Accurate Seizure Detection Implants","display_name":"Computation Complexity Reduction Technique for Accurate Seizure Detection Implants","publication_year":2022,"publication_date":"2022-10-24","ids":{"openalex":"https://openalex.org/W4311224653","doi":"https://doi.org/10.1109/icecs202256217.2022.9970844"},"language":"en","primary_location":{"id":"doi:10.1109/icecs202256217.2022.9970844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecs202256217.2022.9970844","pdf_url":null,"source":{"id":"https://openalex.org/S4363607963","display_name":"2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://infoscience.epfl.ch/handle/20.500.14299/195119","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031889676","display_name":"Keyvan Farhang Razi","orcid":"https://orcid.org/0000-0002-7678-6850"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Keyvan Farhang Razi","raw_affiliation_strings":["Institute of Electrical and Microengineering, Swiss Federal Institute of Technology Lausanne (EPFL),Lausanne,Switzerland","Institute of Electrical and Microengineering, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"Institute of Electrical and Microengineering, Swiss Federal Institute of Technology Lausanne (EPFL),Lausanne,Switzerland","institution_ids":["https://openalex.org/I5124864"]},{"raw_affiliation_string":"Institute of Electrical and Microengineering, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079305372","display_name":"Alexandre Schmid","orcid":"https://orcid.org/0000-0002-6730-0193"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Alexandre Schmid","raw_affiliation_strings":["Institute of Electrical and Microengineering, Swiss Federal Institute of Technology Lausanne (EPFL),Lausanne,Switzerland","Institute of Electrical and Microengineering, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"Institute of Electrical and Microengineering, Swiss Federal Institute of Technology Lausanne (EPFL),Lausanne,Switzerland","institution_ids":["https://openalex.org/I5124864"]},{"raw_affiliation_string":"Institute of Electrical and Microengineering, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5031889676"],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":null,"apc_paid":null,"fwci":0.2006,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.35269953,"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":null,"last_page":null},"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":0.9991000294685364,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7278482913970947},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.7159073948860168},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5752021670341492},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.531758189201355},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5287615656852722},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5284003615379333},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.5196672677993774},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5178830623626709},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.49868273735046387},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.46962645649909973},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.45340695977211},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.435417115688324},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2769159972667694},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14289695024490356},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.11546880006790161},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.1026991605758667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7278482913970947},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7159073948860168},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5752021670341492},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.531758189201355},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5287615656852722},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5284003615379333},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.5196672677993774},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5178830623626709},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.49868273735046387},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.46962645649909973},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.45340695977211},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.435417115688324},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2769159972667694},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14289695024490356},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.11546880006790161},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.1026991605758667},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icecs202256217.2022.9970844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecs202256217.2022.9970844","pdf_url":null,"source":{"id":"https://openalex.org/S4363607963","display_name":"2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","raw_type":"proceedings-article"},{"id":"pmh:oai:infoscience.epfl.ch:300395","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/195119","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"WoS","raw_type":"conference proceedings"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:300395","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/195119","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"WoS","raw_type":"conference proceedings"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.7099999785423279}],"awards":[{"id":"https://openalex.org/G7311955214","display_name":null,"funder_award_id":"200020_182548","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"}],"funders":[{"id":"https://openalex.org/F4320320924","display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","ror":"https://ror.org/00yjd3n13"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2580305911","https://openalex.org/W2584043716","https://openalex.org/W2947657751","https://openalex.org/W2963363970","https://openalex.org/W3036600359","https://openalex.org/W3090016417","https://openalex.org/W4200102854","https://openalex.org/W4206986185","https://openalex.org/W4284695042"],"related_works":["https://openalex.org/W2188500270","https://openalex.org/W2303858293","https://openalex.org/W2915512527","https://openalex.org/W51364034","https://openalex.org/W2798997222","https://openalex.org/W2798198862","https://openalex.org/W2161045342","https://openalex.org/W2053115025","https://openalex.org/W2943002782","https://openalex.org/W2914700932"],"abstract_inverted_index":{"An":[0],"automatic":[1],"seizure":[2,21,45,76,164],"detection":[3,22,46,77,136,187],"method":[4,61,156,210],"from":[5,120,166],"high-resolution":[6],"intracranial-EEG":[7],"(iEEG)":[8],"signals":[9,35],"is":[10,40,68,130,157,203],"presented":[11,209],"to":[12,50,63,70,100,113,132,147],"minimize":[13,148],"the":[14,72,81,89,114,121,126,134,149,167,171,180,185,196,200,208],"computational":[15],"complexity":[16,202],"and":[17,53,75,98,184],"realize":[18],"real-time":[19,54,214],"accurate":[20],"for":[23,212],"biomedical":[24,215],"implants.":[25,216],"Complex":[26],"signal":[27,150],"processing":[28,151],"on":[29,159],"a":[30,41,57,64,102,144],"large":[31],"amount":[32],"of":[33,83,128,170,178,182,189],"iEEG":[34],"captured":[36],"via":[37],"several":[38],"electrodes":[39],"crucial":[42],"impediment":[43],"in":[44],"when":[47],"it":[48],"comes":[49],"power":[51],"consumption":[52],"processing.":[55],"Therefore,":[56],"subject-customized":[58],"channel":[59,146],"selection":[60],"correlated":[62],"feature":[65,104,122],"ranking":[66,123],"unit":[67],"proposed":[69],"improve":[71],"computation":[73,152,201],"efficiency":[74],"accuracy":[78],"by":[79],"reducing":[80],"dimension":[82],"extracted":[84,97],"features":[85,95,118],"as":[86,88],"well":[87],"electrode":[90,107],"channels.":[91],"Nine":[92],"popular":[93],"time-domain":[94],"are":[96,109,141,192],"ranked":[99,110],"constitute":[101],"customized":[103],"subset.":[105],"Subsequently,":[106],"channels":[108,129,140],"with":[111,162],"respect":[112],"top":[115],"four":[116],"rank":[117],"obtained":[119],"unit.":[124],"Then,":[125],"number":[127],"optimized":[131],"reach":[133],"highest":[135],"accuracy.":[137],"The":[138,154,175],"selected":[139],"compressed":[142],"into":[143],"single":[145],"load.":[153],"suggested":[155],"tested":[158],"seven":[160],"patients":[161],"37":[163],"events":[165],"SWEC-ETHZ":[168],"dataset":[169],"Bern":[172],"University":[173],"Hospital.":[174],"perfect":[176],"sensitivity":[177],"100%,":[179],"specificity":[181],"92.98%,":[183],"mean":[186],"delay":[188],"3.6":[190],"sec":[191],"achieved":[193],"which":[194,206],"outperform":[195],"state-of-the-art.":[197],"In":[198],"addition,":[199],"remarkably":[204],"reduced":[205],"makes":[207],"suitable":[211],"low-power":[213]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}