{"id":"https://openalex.org/W4392902683","doi":"https://doi.org/10.1109/icassp48485.2024.10446110","title":"Electroencephalogram Sensor Data Compression Using an Asymmetrical Sparse Autoencoder with a Discrete Cosine Transform Layer","display_name":"Electroencephalogram Sensor Data Compression Using an Asymmetrical Sparse Autoencoder with a Discrete Cosine Transform Layer","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392902683","doi":"https://doi.org/10.1109/icassp48485.2024.10446110"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10446110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100714857","display_name":"Xin Zhu","orcid":"https://orcid.org/0000-0002-5786-3769"},"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":["University of Illinois Chicago,Department of Electrical and Computer Engineering,USA","Department of Electrical and Computer Engineering, University of Illinois Chicago, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois Chicago,Department of Electrical and Computer Engineering,USA","institution_ids":["https://openalex.org/I39422238"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Illinois Chicago, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101153329","display_name":"Hongyi Pan","orcid":"https://orcid.org/0000-0002-8950-5472"},"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":["Northwestern University,Machine & Hybrid Intelligence Lab,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University,Machine & Hybrid Intelligence Lab,USA","institution_ids":["https://openalex.org/I111979921","https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113927701","display_name":"Shuaiang Rong","orcid":null},"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":"Shuaiang Rong","raw_affiliation_strings":["University of Illinois Chicago,Department of Electrical and Computer Engineering,USA","Department of Electrical and Computer Engineering, University of Illinois Chicago, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois Chicago,Department of Electrical and Computer Engineering,USA","institution_ids":["https://openalex.org/I39422238"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Illinois Chicago, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"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":["University of Illinois Chicago,Department of Electrical and Computer Engineering,USA","Department of Electrical and Computer Engineering, University of Illinois Chicago, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois Chicago,Department of Electrical and Computer Engineering,USA","institution_ids":["https://openalex.org/I39422238"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Illinois Chicago, 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":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2160","last_page":"2164"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9997000098228455,"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":0.9987999796867371,"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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/autoencoder","display_name":"Autoencoder","score":0.8937522172927856},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.8326083421707153},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6692785024642944},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6685582399368286},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5833537578582764},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5415622591972351},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.47736310958862305},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42063865065574646},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3794479966163635},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.1854851245880127},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06997233629226685}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8937522172927856},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.8326083421707153},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6692785024642944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6685582399368286},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5833537578582764},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5415622591972351},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.47736310958862305},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42063865065574646},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3794479966163635},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.1854851245880127},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06997233629226685},{"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/icassp48485.2024.10446110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1151924489","https://openalex.org/W2020884368","https://openalex.org/W2031614119","https://openalex.org/W2042127890","https://openalex.org/W2053744708","https://openalex.org/W2138692623","https://openalex.org/W2140196014","https://openalex.org/W2146842127","https://openalex.org/W2164566630","https://openalex.org/W2164597578","https://openalex.org/W2618300478","https://openalex.org/W2884044809","https://openalex.org/W2889319461","https://openalex.org/W2889363600","https://openalex.org/W2908510526","https://openalex.org/W3160069202","https://openalex.org/W3204449597","https://openalex.org/W4205841633","https://openalex.org/W4205900725","https://openalex.org/W4210443109","https://openalex.org/W4248337693","https://openalex.org/W4248905695","https://openalex.org/W4292794067","https://openalex.org/W4372269217","https://openalex.org/W4378194687","https://openalex.org/W4386336888"],"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/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W4386815338","https://openalex.org/W2145836866","https://openalex.org/W2803255133"],"abstract_inverted_index":{"Electroencephalogram":[0],"(EEG)":[1],"data":[2,15,63,119,148,167],"compression":[3,168],"is":[4,35,101,120,131],"necessary":[5],"for":[6],"wireless":[7],"recording":[8],"applications":[9],"to":[10,18,37,60,78,103,122,143,152],"reduce":[11,61],"the":[12,45,57,68,88,93,105,113,123,129,134,145,156,161],"amount":[13],"of":[14,44,50,128,147],"that":[16],"needs":[17],"be":[19],"transmitted.":[20],"In":[21,150],"this":[22],"paper,":[23],"an":[24],"asymmetrical":[25],"sparse":[26,109],"autoencoder":[27,46,130],"with":[28],"a":[29,48,51],"discrete":[30],"cosine":[31],"transform":[32],"(DCT)":[33],"layer":[34,55,59,70,91],"proposed":[36,157],"compress":[38],"EEG":[39],"signals.":[40],"The":[41,96,116,125],"encoder":[42],"module":[43,127],"has":[47],"combination":[49],"fully":[52,139],"connected":[53,140],"linear":[54,141],"and":[56,75,137],"DCT":[58,69,85,136],"redundant":[62],"using":[64,133],"hard-thresholding":[65,73],"nonlinearity.":[66],"Furthermore,":[67],"includes":[71],"trainable":[72],"parameters":[74],"scaling":[76],"layers":[77,142],"give":[79],"emphasis":[80],"or":[81],"de-emphasis":[82],"on":[83],"individual":[84],"coefficients.":[86],"Finally,":[87],"one-by-one":[89],"convolutional":[90],"generates":[92],"latent":[94,114,117],"space.":[95,115],"sparsity":[97],"penalty-based":[98],"cost":[99],"function":[100],"employed":[102],"keep":[104],"feature":[106],"map":[107],"as":[108,110],"possible":[111],"in":[112,165],"space":[118],"transmitted":[121],"receiver.":[124],"decoder":[126],"designed":[132],"inverse":[135],"two":[138],"improve":[144],"accuracy":[146],"reconstruction.":[149],"comparison":[151],"other":[153],"state-of-the-art":[154],"methods,":[155],"method":[158],"significantly":[159],"improves":[160],"average":[162],"quality":[163],"score":[164],"various":[166],"experiments.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}