{"id":"https://openalex.org/W2590368693","doi":"https://doi.org/10.1109/globalsip.2016.7906022","title":"Cloud-based deep learning of big EEG data for epileptic seizure prediction","display_name":"Cloud-based deep learning of big EEG data for epileptic seizure prediction","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2590368693","doi":"https://doi.org/10.1109/globalsip.2016.7906022","mag":"2590368693"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2016.7906022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2016.7906022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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/A5007105117","display_name":"Mohammad-Parsa Hosseini","orcid":"https://orcid.org/0000-0002-0611-7520"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad-Parsa Hosseini","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, Rutgers University-New Brunswick, NJ, USA","Dept. of Radiology and Research Administration, Image Analysis Lab, MI, USA","Dept. of Electrical and Computer Engineering, Rutgers University-New, Brunswick, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Rutgers University-New Brunswick, NJ, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Dept. of Radiology and Research Administration, Image Analysis Lab, MI, USA","institution_ids":[]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Rutgers University-New, Brunswick, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058761102","display_name":"Hamid Soltanian\u2010Zadeh","orcid":"https://orcid.org/0000-0002-7302-6856"},"institutions":[{"id":"https://openalex.org/I154057602","display_name":"Henry Ford Health System","ror":"https://ror.org/02kwnkm68","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I154057602"]},{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR","US"],"is_corresponding":false,"raw_author_name":"Hamid Soltanian-Zadeh","raw_affiliation_strings":["Image Analysis Lab, Dept. of Radiology and Research Administration, Henry Ford Health System, MI, USA","School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran","Dept. of Radiology and Research Administration, Image Analysis Lab, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Analysis Lab, Dept. of Radiology and Research Administration, Henry Ford Health System, MI, USA","institution_ids":["https://openalex.org/I154057602"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]},{"raw_affiliation_string":"Dept. of Radiology and Research Administration, Image Analysis Lab, MI, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037817287","display_name":"Kost Elisevich","orcid":"https://orcid.org/0000-0002-2695-7500"},"institutions":[{"id":"https://openalex.org/I146183641","display_name":"Spectrum Health","ror":"https://ror.org/02ahxdd04","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I146183641"]},{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kost Elisevich","raw_affiliation_strings":["Dept. of Clinical Neuroscience, Spectrum Health System, MI, USA","Division of Neurosurgery, Michigan State University, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Clinical Neuroscience, Spectrum Health System, MI, USA","institution_ids":["https://openalex.org/I146183641"]},{"raw_affiliation_string":"Division of Neurosurgery, Michigan State University, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007041249","display_name":"Dario Pompili","orcid":"https://orcid.org/0000-0002-5365-509X"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dario Pompili","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, Rutgers University-New Brunswick, NJ, USA","Dept. of Electrical and Computer Engineering, Rutgers University-New, Brunswick, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Rutgers University-New Brunswick, NJ, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Rutgers University-New, Brunswick, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.4182,"has_fulltext":false,"cited_by_count":116,"citation_normalized_percentile":{"value":0.96443506,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1151","last_page":"1155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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":0.9998999834060669,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9965000152587891,"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"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9940999746322632,"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/autoencoder","display_name":"Autoencoder","score":0.8323834538459778},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8154782056808472},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6441348195075989},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6155343651771545},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.5970871448516846},{"id":"https://openalex.org/keywords/epileptic-seizure","display_name":"Epileptic seizure","score":0.5948916673660278},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5850580930709839},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5750367045402527},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5583763718605042},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5484611988067627},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4462354779243469},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4142473042011261},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4002005159854889},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3768208622932434},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3013468086719513}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8323834538459778},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8154782056808472},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6441348195075989},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6155343651771545},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.5970871448516846},{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.5948916673660278},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5850580930709839},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5750367045402527},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5583763718605042},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5484611988067627},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4462354779243469},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4142473042011261},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4002005159854889},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3768208622932434},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3013468086719513},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip.2016.7906022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2016.7906022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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":28,"referenced_works":["https://openalex.org/W206264148","https://openalex.org/W993592207","https://openalex.org/W1631724761","https://openalex.org/W1783767608","https://openalex.org/W1866504676","https://openalex.org/W2007499764","https://openalex.org/W2007864229","https://openalex.org/W2029316659","https://openalex.org/W2069115302","https://openalex.org/W2079347303","https://openalex.org/W2128749795","https://openalex.org/W2230055840","https://openalex.org/W2291197622","https://openalex.org/W2305324703","https://openalex.org/W2319696052","https://openalex.org/W2332569964","https://openalex.org/W2346305892","https://openalex.org/W2356206951","https://openalex.org/W2397476359","https://openalex.org/W2470359451","https://openalex.org/W2522800272","https://openalex.org/W2531672018","https://openalex.org/W2964047076","https://openalex.org/W2964291336","https://openalex.org/W6704380207","https://openalex.org/W6706400394","https://openalex.org/W6720261860","https://openalex.org/W6727953547"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W3202969339","https://openalex.org/W4237513258","https://openalex.org/W4310873165","https://openalex.org/W2355395139","https://openalex.org/W4285596704"],"abstract_inverted_index":{"Developing":[0],"a":[1,13,28,31,54,102,117,139,142,157,172],"Brain-Computer":[2],"Interface":[3],"(BCI)":[4],"for":[5,34,60,72,85,88,95,106,150,162],"seizure":[6,46],"prediction":[7,62],"can":[8],"help":[9],"epileptic":[10],"patients":[11],"have":[12],"better":[14],"quality":[15],"of":[16,37,41,56,77,109,165,179,195],"life.":[17],"However,":[18],"there":[19],"are":[20,79],"many":[21],"difficulties":[22],"and":[23,45,91,134,154,188],"challenges":[24],"in":[25,147,192],"developing":[26],"such":[27],"system":[29,105],"as":[30,126,128,184],"real-life":[32,193],"support":[33,194],"patients.":[35,51,197],"Because":[36],"the":[38,61,86,107,131,177,180],"nonstationary":[39],"nature":[40],"EEG":[42,112,167],"signals,":[43],"normal":[44],"patterns":[47],"vary":[48],"across":[49],"different":[50],"Thus,":[52],"finding":[53],"group":[55],"manually":[57],"extracted":[58],"features":[59],"task":[63],"is":[64,114,120,145,160],"not":[65],"practical.":[66],"Moreover,":[67],"when":[68],"using":[69],"implanted":[70],"electrodes":[71],"brain":[73],"recording":[74],"massive":[75],"amounts":[76],"data":[78,83,113],"produced.":[80],"This":[81],"big":[82,111,166],"calls":[84],"need":[87],"safe":[89],"storage":[90],"high":[92],"computational":[93],"resources":[94],"real-time":[96,163],"processing.":[97],"To":[98],"address":[99],"these":[100],"challenges,":[101],"cloud-based":[103],"BCI":[104,183],"analysis":[108,164],"this":[110],"presented.":[115],"First,":[116],"dimensionality-reduction":[118],"technique":[119],"developed":[121],"to":[122,129],"increase":[123],"classification":[124],"accuracy":[125],"well":[127],"decrease":[130],"communication":[132],"bandwidth":[133],"computation":[135],"time.":[136],"Second,":[137],"following":[138],"deep-learning":[140],"approach,":[141],"stacked":[143],"autoencoder":[144],"trained":[146],"two":[148],"steps":[149],"unsupervised":[151],"feature":[152],"extraction":[153],"classification.":[155],"Third,":[156],"cloud-computing":[158],"solution":[159],"proposed":[161,181],"data.":[168],"The":[169],"results":[170],"on":[171],"benchmark":[173],"clinical":[174],"dataset":[175],"illustrate":[176],"superiority":[178],"patient-specific":[182],"an":[185],"alternative":[186],"method":[187],"its":[189],"expected":[190],"usefulness":[191],"epilepsy":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":24},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":12}],"updated_date":"2026-03-20T20:47:17.329874","created_date":"2025-10-10T00:00:00"}
