{"id":"https://openalex.org/W4372259958","doi":"https://doi.org/10.1109/icassp49357.2023.10095357","title":"Modulo EEG Signal Recovery Using Transformer","display_name":"Modulo EEG Signal Recovery Using Transformer","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372259958","doi":"https://doi.org/10.1109/icassp49357.2023.10095357"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10095357","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10095357","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 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/A5055548439","display_name":"Tianyu Geng","orcid":"https://orcid.org/0000-0003-1186-5387"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tianyu Geng","raw_affiliation_strings":["Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore,639798"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore,639798","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004513182","display_name":"Feng Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Feng Ji","raw_affiliation_strings":["Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore,639798"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore,639798","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028337183","display_name":"Pratibha Pratibha","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Pratibha","raw_affiliation_strings":["Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore,639798"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore,639798","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046850399","display_name":"Wee Peng Tay","orcid":"https://orcid.org/0000-0002-1543-195X"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wee Peng Tay","raw_affiliation_strings":["Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore,639798"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore,639798","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"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":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/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/modulo","display_name":"Modulo","score":0.8293161988258362},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6995332837104797},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.633619487285614},{"id":"https://openalex.org/keywords/clipping","display_name":"Clipping (morphology)","score":0.6243176460266113},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44117966294288635},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4349464178085327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3366159498691559},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3273524045944214},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.262482225894928},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09073498845100403},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.05900681018829346}],"concepts":[{"id":"https://openalex.org/C54732982","wikidata":"https://www.wikidata.org/wiki/Q1415345","display_name":"Modulo","level":2,"score":0.8293161988258362},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6995332837104797},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.633619487285614},{"id":"https://openalex.org/C2776848632","wikidata":"https://www.wikidata.org/wiki/Q853463","display_name":"Clipping (morphology)","level":2,"score":0.6243176460266113},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44117966294288635},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4349464178085327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3366159498691559},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3273524045944214},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.262482225894928},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09073498845100403},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.05900681018829346},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10095357","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10095357","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311649","display_name":"Ministry of Education","ror":"https://ror.org/036nq5137"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W585975565","https://openalex.org/W1583366798","https://openalex.org/W2145302786","https://openalex.org/W2508075047","https://openalex.org/W2737827235","https://openalex.org/W2770384163","https://openalex.org/W2894692871","https://openalex.org/W2898826767","https://openalex.org/W2900802277","https://openalex.org/W2944333051","https://openalex.org/W2948418702","https://openalex.org/W2963178530","https://openalex.org/W2963276184","https://openalex.org/W3027500411","https://openalex.org/W3094502228","https://openalex.org/W3105381059","https://openalex.org/W3131500599","https://openalex.org/W3138516171","https://openalex.org/W3170841864","https://openalex.org/W3170874841","https://openalex.org/W3176153963","https://openalex.org/W3204077273","https://openalex.org/W4224244097","https://openalex.org/W4385245566","https://openalex.org/W6739901393","https://openalex.org/W6784333009","https://openalex.org/W6788135285","https://openalex.org/W6798016242"],"related_works":["https://openalex.org/W2117548279","https://openalex.org/W2807449856","https://openalex.org/W238211858","https://openalex.org/W2070252991","https://openalex.org/W2941201715","https://openalex.org/W2025727968","https://openalex.org/W2803761277","https://openalex.org/W4297742300","https://openalex.org/W4295096867","https://openalex.org/W4291557013"],"abstract_inverted_index":{"Time":[0],"series":[1,62],"signals":[2,6],"such":[3],"as":[4],"EEG":[5,85],"may":[7],"have":[8],"large":[9],"variability":[10],"across":[11],"different":[12,28],"individuals,":[13],"making":[14],"it":[15],"difficult":[16],"to":[17,34,82,92,97],"sample":[18],"without":[19],"distortion":[20],"or":[21],"clipping":[22,40],"using":[23],"the":[24,36,42,45,56,89,94,112,123,127,131],"same":[25],"sensor":[26],"for":[27,74,103],"individuals.":[29],"Modulo":[30],"sampling":[31],"allows":[32],"one":[33],"overcome":[35],"problem":[37,57],"of":[38,58,111,130],"signal":[39,46,63,76,99],"in":[41],"case":[43],"where":[44],"has":[47],"a":[48,60,70,109,117],"very":[49],"high":[50],"dynamic":[51],"range.":[52],"This":[53],"paper":[54],"studies":[55],"recovering":[59],"time":[61],"from":[64],"under-determined":[65],"modulo":[66,75,98],"observations.":[67],"We":[68,87],"propose":[69],"deep":[71],"learning":[72],"method":[73],"recovery,":[77],"which":[78],"can":[79],"be":[80],"applied":[81],"recover":[83],"folded":[84],"signals.":[86],"make":[88],"first":[90],"attempt":[91],"introduce":[93,108],"Transformer":[95,113],"framework":[96],"recovery.":[100],"In":[101],"addition,":[102],"efficiency":[104],"and":[105],"robustness,":[106],"we":[107],"modification":[110],"module":[114],"by":[115],"inserting":[116],"learnable":[118],"pre-estimation.":[119],"The":[120],"experiment":[121],"on":[122],"real":[124],"data":[125],"demonstrates":[126],"superior":[128],"performance":[129],"proposed":[132],"algorithm.":[133]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
