{"id":"https://openalex.org/W3090267384","doi":"https://doi.org/10.1109/iscas45731.2020.9180430","title":"Binary Single-Dimensional Convolutional Neural Network for Seizure Prediction","display_name":"Binary Single-Dimensional Convolutional Neural Network for Seizure Prediction","publication_year":2020,"publication_date":"2020-09-29","ids":{"openalex":"https://openalex.org/W3090267384","doi":"https://doi.org/10.1109/iscas45731.2020.9180430","mag":"3090267384"},"language":"en","primary_location":{"id":"doi:10.1109/iscas45731.2020.9180430","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas45731.2020.9180430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2206.07518","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077848645","display_name":"Shiqi Zhao","orcid":"https://orcid.org/0000-0002-7208-7075"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiqi Zhao","raw_affiliation_strings":["Zhejiang University, Hangzhou, Zhejiang, China 310058; CenBRAIN Lab., School of Engineering, Westlake University, Hangzhou, Zhejiang, China 310024"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, Zhejiang, China 310058; CenBRAIN Lab., School of Engineering, Westlake University, Hangzhou, Zhejiang, China 310024","institution_ids":["https://openalex.org/I3133055985","https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007036605","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0002-4148-0042"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yang","raw_affiliation_strings":["CenBRAIN Lab., School of Engineering, Westlake University, Hangzhou, Zhejiang, China 310024"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CenBRAIN Lab., School of Engineering, Westlake University, Hangzhou, Zhejiang, China 310024","institution_ids":["https://openalex.org/I3133055985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050289100","display_name":"Yankun Xu","orcid":"https://orcid.org/0000-0002-4410-4106"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yankun Xu","raw_affiliation_strings":["CenBRAIN Lab., School of Engineering, Westlake University, Hangzhou, Zhejiang, China 310024"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CenBRAIN Lab., School of Engineering, Westlake University, Hangzhou, Zhejiang, China 310024","institution_ids":["https://openalex.org/I3133055985"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082509767","display_name":"Mohamad Sawan","orcid":"https://orcid.org/0000-0002-4137-7272"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mohamad Sawan","raw_affiliation_strings":["CenBRAIN Lab., School of Engineering, Westlake University, Hangzhou, Zhejiang, China 310024"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CenBRAIN Lab., School of Engineering, Westlake University, Hangzhou, Zhejiang, China 310024","institution_ids":["https://openalex.org/I3133055985"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T10094","display_name":"Epilepsy research and treatment","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9846000075340271,"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/computer-science","display_name":"Computer science","score":0.7554365396499634},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7124193906784058},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6799848079681396},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5560170412063599},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5348685383796692},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5224434733390808},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.499086856842041},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.493503212928772},{"id":"https://openalex.org/keywords/epileptic-seizure","display_name":"Epileptic seizure","score":0.4876185953617096},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46855100989341736},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4582558870315552},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4240071475505829},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41535061597824097},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.30572205781936646},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.25510889291763306},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.21882975101470947},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.1030326783657074},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09470692276954651}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7554365396499634},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7124193906784058},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6799848079681396},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5560170412063599},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5348685383796692},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5224434733390808},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.499086856842041},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.493503212928772},{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.4876185953617096},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46855100989341736},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4582558870315552},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4240071475505829},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41535061597824097},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.30572205781936646},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25510889291763306},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.21882975101470947},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.1030326783657074},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09470692276954651},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iscas45731.2020.9180430","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas45731.2020.9180430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2206.07518","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2206.07518","pdf_url":"https://arxiv.org/pdf/2206.07518","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2206.07518","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2206.07518","pdf_url":"https://arxiv.org/pdf/2206.07518","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1516301892","https://openalex.org/W1836465849","https://openalex.org/W1964875525","https://openalex.org/W1974809694","https://openalex.org/W2009902427","https://openalex.org/W2011729415","https://openalex.org/W2088222765","https://openalex.org/W2103946141","https://openalex.org/W2106277748","https://openalex.org/W2150590430","https://openalex.org/W2162800060","https://openalex.org/W2185100366","https://openalex.org/W2300242332","https://openalex.org/W2317674142","https://openalex.org/W2319920447","https://openalex.org/W2402144811","https://openalex.org/W2585407525","https://openalex.org/W2586456943","https://openalex.org/W2604287166","https://openalex.org/W2611396605","https://openalex.org/W2738797743","https://openalex.org/W2742472784","https://openalex.org/W2753301142","https://openalex.org/W2780723646","https://openalex.org/W2790167166","https://openalex.org/W2799610518","https://openalex.org/W2802676756","https://openalex.org/W2805290054","https://openalex.org/W2898742401","https://openalex.org/W2915149867","https://openalex.org/W2949117887","https://openalex.org/W2953384591","https://openalex.org/W2964008506","https://openalex.org/W2966038323","https://openalex.org/W3100551743","https://openalex.org/W6638667902","https://openalex.org/W6698200048","https://openalex.org/W6700264148","https://openalex.org/W6713134421","https://openalex.org/W6744700018"],"related_works":["https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W2130428257","https://openalex.org/W4308951944","https://openalex.org/W2032664813","https://openalex.org/W2166624857","https://openalex.org/W3202613528","https://openalex.org/W1981989525","https://openalex.org/W2331313489","https://openalex.org/W4210722555"],"abstract_inverted_index":{"Nowadays,":[0],"several":[1],"deep":[2],"learning":[3],"methods":[4,17],"are":[5,119],"proposed":[6,164],"to":[7,31,80,113,121],"tackle":[8],"the":[9,83,123,129,159,177],"challenge":[10],"of":[11,24,85,179],"epileptic":[12,105],"seizure":[13,106],"prediction.":[14,107],"However,":[15],"these":[16],"still":[18],"cannot":[19],"be":[20],"implemented":[21],"as":[22],"part":[23],"implantable":[25],"or":[26],"efficient":[27],"wearable":[28],"devices":[29],"due":[30],"their":[32],"large":[33,46],"hardware":[34,61],"and":[35,53,126,137,145,158,172,181],"corresponding":[36],"high-power":[37],"consumption.":[38],"They":[39],"usually":[40],"require":[41],"complex":[42,54],"feature":[43],"extraction":[44],"process,":[45],"memory":[47],"for":[48,104],"storing":[49],"high":[50],"precision":[51],"parameters":[52,118],"arithmetic":[55],"computation,":[56,182],"which":[57],"greatly":[58],"increases":[59],"required":[60,124],"resources.":[62],"Moreover,":[63],"available":[64],"yield":[65],"poor":[66],"prediction":[67,115,139],"performance,":[68],"because":[69],"they":[70],"adopt":[71],"network":[72,95],"architecture":[73,165],"directly":[74],"from":[75],"image":[76],"recognition":[77],"applications":[78],"fails":[79],"accurately":[81],"consider":[82],"characteristics":[84],"EEG":[86],"signals.":[87],"We":[88],"propose":[89],"in":[90],"this":[91],"paper":[92],"a":[93],"hardware-friendly":[94],"called":[96],"Binary":[97],"Single-dimensional":[98],"Convolutional":[99],"Neural":[100],"Network":[101],"(BSDCNN)":[102],"intended":[103],"BSDCNN":[108],"utilizes":[109],"1D":[110],"convolutional":[111],"kernels":[112],"improve":[114],"performance.":[116],"All":[117],"binarized":[120],"reduce":[122],"computation":[125],"storage,":[127],"except":[128],"first":[130],"layer.":[131],"Overall":[132],"area":[133],"under":[134],"curve,":[135],"sensitivity,":[136],"false":[138],"rate":[140],"reaches":[141],"0.915,":[142],"89.26%,":[143],"0.117/h":[144],"0.970,":[146],"94.69%,":[147],"0.095/h":[148],"on":[149,176],"American":[150],"Epilepsy":[151],"Society":[152],"Seizure":[153],"Prediction":[154],"Challenge":[155],"(AES)":[156],"dataset":[157],"CHB-MIT":[160],"one":[161],"respectively.":[162,183],"The":[163],"outperforms":[166],"recent":[167],"works":[168],"while":[169],"offering":[170],"7.2":[171],"25.5":[173],"times":[174],"reductions":[175],"size":[178],"parameter":[180]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2020-10-08T00:00:00"}
