{"id":"https://openalex.org/W4408609210","doi":"https://doi.org/10.1109/jiot.2025.3552774","title":"Edge\u2013Fog Computing-Enabled EEG Data Compression via Asymmetrical Variational Discrete Cosine Transform Network","display_name":"Edge\u2013Fog Computing-Enabled EEG Data Compression via Asymmetrical Variational Discrete Cosine Transform Network","publication_year":2025,"publication_date":"2025-03-19","ids":{"openalex":"https://openalex.org/W4408609210","doi":"https://doi.org/10.1109/jiot.2025.3552774"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2025.3552774","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3552774","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-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/A5011225004","display_name":"Xin Zhu","orcid":"https://orcid.org/0000-0002-4741-4193"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Zhu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL, USA","Department of Electrical and Computer Engineering, University of Illinois Chicago, Chicago, IL, USA"],"raw_orcid":"https://orcid.org/0000-0002-4741-4193","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Illinois Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002608156","display_name":"Hongyi Pan","orcid":"https://orcid.org/0000-0001-9421-3936"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]},{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongyi Pan","raw_affiliation_strings":["Machine and Hybrid Intelligence Lab, Northwestern University, Chicago, IL, USA"],"raw_orcid":"https://orcid.org/0000-0001-9421-3936","affiliations":[{"raw_affiliation_string":"Machine and Hybrid Intelligence Lab, Northwestern University, Chicago, IL, USA","institution_ids":["https://openalex.org/I111979921","https://openalex.org/I1343180700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080469744","display_name":"Ahmet Enis \u00c7etin","orcid":"https://orcid.org/0000-0002-3449-1958"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmet Enis Cetin","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL, USA","Department of Electrical and Computer Engineering, University of Illinois Chicago, Chicago, IL, USA"],"raw_orcid":"https://orcid.org/0000-0002-3449-1958","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Illinois Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7952,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.82542102,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"12","issue":"12","first_page":"18678","last_page":"18691"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9843000173568726,"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":0.9843000173568726,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9753000140190125,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9617000222206116,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7579187750816345},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.753844678401947},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6731952428817749},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.5031237006187439},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.47682589292526245},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4606720209121704},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4588170647621155},{"id":"https://openalex.org/keywords/trigonometric-functions","display_name":"Trigonometric functions","score":0.4539879858493805},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4197838306427002},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4188041687011719},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4169313311576843},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3046910762786865},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1821332573890686},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14491668343544006}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7579187750816345},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.753844678401947},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6731952428817749},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.5031237006187439},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.47682589292526245},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4606720209121704},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4588170647621155},{"id":"https://openalex.org/C178009071","wikidata":"https://www.wikidata.org/wiki/Q93344","display_name":"Trigonometric functions","level":2,"score":0.4539879858493805},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4197838306427002},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4188041687011719},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4169313311576843},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3046910762786865},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1821332573890686},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14491668343544006},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","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/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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":1,"locations":[{"id":"doi:10.1109/jiot.2025.3552774","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3552774","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.6499999761581421}],"awards":[{"id":"https://openalex.org/G330142691","display_name":"Institute for Data, Econometrics, Algorithms and Learning (IDEAL)","funder_award_id":"2217023","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8743817609","display_name":null,"funder_award_id":"IDEAL 2217023","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W2019894871","https://openalex.org/W2031614119","https://openalex.org/W2042127890","https://openalex.org/W2101629643","https://openalex.org/W2115907784","https://openalex.org/W2125829898","https://openalex.org/W2127295759","https://openalex.org/W2138692623","https://openalex.org/W2140196014","https://openalex.org/W2146842127","https://openalex.org/W2153912116","https://openalex.org/W2164566630","https://openalex.org/W2164597578","https://openalex.org/W2509160483","https://openalex.org/W2618300478","https://openalex.org/W2889319461","https://openalex.org/W2889363600","https://openalex.org/W2945004543","https://openalex.org/W2970834650","https://openalex.org/W3119601489","https://openalex.org/W3121802580","https://openalex.org/W3195719912","https://openalex.org/W4205619854","https://openalex.org/W4206126837","https://openalex.org/W4206324549","https://openalex.org/W4285170258","https://openalex.org/W4300942166","https://openalex.org/W4379795936","https://openalex.org/W4385564557","https://openalex.org/W4386336888","https://openalex.org/W4388182543","https://openalex.org/W4388994726","https://openalex.org/W4390272492","https://openalex.org/W4392902683","https://openalex.org/W4394990241","https://openalex.org/W4394994629","https://openalex.org/W4400980349","https://openalex.org/W4402276390","https://openalex.org/W6678440371","https://openalex.org/W6757817989","https://openalex.org/W6791079441"],"related_works":["https://openalex.org/W2094583657","https://openalex.org/W1594300462","https://openalex.org/W2158009109","https://openalex.org/W1606460848","https://openalex.org/W3188631569","https://openalex.org/W2112852877","https://openalex.org/W2772846670","https://openalex.org/W1706111048","https://openalex.org/W2034796835","https://openalex.org/W2258231948"],"abstract_inverted_index":{"The":[0],"large":[1],"volume":[2],"of":[3,23,131],"electroencephalograph":[4],"(EEG)":[5],"data":[6,45,72,188],"produced":[7],"by":[8,101,127],"brain-computer":[9],"interface":[10],"(BCI)":[11],"systems":[12],"presents":[13],"challenges":[14],"for":[15,43,175,186],"rapid":[16],"transmission":[17],"over":[18],"bandwidth-limited":[19],"channels":[20,96],"in":[21],"Internet":[22],"Things":[24],"(IoT)":[25],"networks.":[26],"To":[27],"address":[28],"the":[29,53,75,81,106,123,129,142,146,163],"issue,":[30],"we":[31],"propose":[32],"a":[33,134,183],"novel":[34],"multichannel":[35],"asymmetrical":[36],"variational":[37,132],"discrete":[38],"cosine":[39],"transform":[40],"(DCT)":[41],"network":[42],"EEG":[44,187],"compression":[46,58,150,168],"within":[47],"an":[48,84],"edge-fog":[49],"computing":[50],"framework.":[51],"At":[52,80],"edge":[54],"level,":[55,83],"low-complexity":[56],"DCT":[57,108],"units":[59],"are":[60],"designed":[61],"using":[62],"parallel":[63],"trainable":[64],"hard-thresholding":[65],"and":[66,73,118,121,152],"scaling":[67],"operators":[68],"to":[69,90,114,148],"remove":[70],"redundant":[71],"extract":[74],"effective":[76],"latent":[77],"space":[78],"representation.":[79],"fog":[82],"adaptive":[85],"filter":[86],"bank":[87],"is":[88,112,139],"applied":[89],"merge":[91],"important":[92],"features":[93],"from":[94],"adjacent":[95],"into":[97],"each":[98],"individual":[99],"channel":[100],"leveraging":[102],"interchannel":[103],"correlations.":[104],"Then,":[105],"inverse":[107],"reconstructed":[109],"multihead":[110],"attention":[111],"developed":[113],"capture":[115],"both":[116],"local":[117],"global":[119],"dependencies":[120],"reconstruct":[122],"original":[124],"signals.":[125],"Furthermore,":[126],"applying":[128],"principles":[130],"inference,":[133],"new":[135],"evidence":[136],"lower":[137],"bound":[138],"formulated":[140],"as":[141],"loss":[143],"function,":[144],"driving":[145],"model":[147],"balance":[149],"efficiency":[151],"reconstruction":[153],"accuracy.":[154],"Experimental":[155],"results":[156],"on":[157],"two":[158],"public":[159],"datasets":[160],"demonstrate":[161],"that":[162],"proposed":[164],"method":[165],"achieves":[166],"superior":[167],"performance":[169],"without":[170],"sacrificing":[171],"any":[172],"useful":[173],"information":[174],"BCI":[176],"detection":[177],"compared":[178],"with":[179],"state-of-the-art":[180],"techniques,":[181],"indicating":[182],"feasible":[184],"solution":[185],"compression.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}