{"id":"https://openalex.org/W4309242552","doi":"https://doi.org/10.1109/biocas54905.2022.9948666","title":"Binary Compressed Sensing of ECG by Neural Matrix Optimization and Support Oracle","display_name":"Binary Compressed Sensing of ECG by Neural Matrix Optimization and Support Oracle","publication_year":2022,"publication_date":"2022-10-13","ids":{"openalex":"https://openalex.org/W4309242552","doi":"https://doi.org/10.1109/biocas54905.2022.9948666"},"language":"en","primary_location":{"id":"doi:10.1109/biocas54905.2022.9948666","doi":"https://doi.org/10.1109/biocas54905.2022.9948666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas54905.2022.9948666","pdf_url":null,"source":{"id":"https://openalex.org/S4363608179","display_name":"IEEE Biomedical Circuits and Systems Conference (BioCAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Biomedical Circuits and Systems Conference (BioCAS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5039813654","display_name":"Filippo Martinini","orcid":"https://orcid.org/0000-0002-8269-1698","observed_orcids":["https://orcid.org/0000-0002-8269-1698"]},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Filippo Martinini","raw_affiliation_strings":["University of Bologna,DEI,Italy","DEI, University of Bologna, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bologna,DEI,Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"DEI, University of Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063925613","display_name":"Andriy Enttsel","orcid":"https://orcid.org/0000-0003-1010-3858","observed_orcids":["https://orcid.org/0000-0003-1010-3858"]},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andriy Enttsel","raw_affiliation_strings":["University of Bologna,DEI,Italy","DEI, University of Bologna, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bologna,DEI,Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"DEI, University of Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026905233","display_name":"Alex Marchioni","orcid":"https://orcid.org/0000-0002-3441-3634","observed_orcids":["https://orcid.org/0000-0002-3441-3634"]},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alex Marchioni","raw_affiliation_strings":["University of Bologna,DEI,Italy","DEI, University of Bologna, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bologna,DEI,Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"DEI, University of Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081473165","display_name":"Mauro Mangia","orcid":"https://orcid.org/0000-0002-3818-9115","observed_orcids":["https://orcid.org/0000-0002-3818-9115"]},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mauro Mangia","raw_affiliation_strings":["University of Bologna,DEI,Italy","ARCES, University of Bologna, Italy","DEI, University of Bologna, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bologna,DEI,Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"ARCES, University of Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"DEI, University of Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088876922","display_name":"Riccardo Rovatti","orcid":"https://orcid.org/0000-0002-4731-7860","observed_orcids":["https://orcid.org/0000-0002-4731-7860"]},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Riccardo Rovatti","raw_affiliation_strings":["University of Bologna,DEI,Italy","ARCES, University of Bologna, Italy","DEI, University of Bologna, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bologna,DEI,Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"ARCES, University of Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"DEI, University of Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062714455","display_name":"Gianluca Setti","orcid":"https://orcid.org/0000-0002-2496-1856","observed_orcids":["https://orcid.org/0000-0002-2496-1856"]},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]},{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gianluca Setti","raw_affiliation_strings":["University of Bologna,ARCES,Italy","ARCES, University of Bologna, Italy","DET, Politecnico di Torino, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bologna,ARCES,Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"ARCES, University of Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"DET, Politecnico di Torino, Italy","institution_ids":["https://openalex.org/I177477856"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"660","last_page":"664"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9531000256538391,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9531000256538391,"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":0.040300000458955765,"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"}},{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.0006000000284984708,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/electrocardiography","display_name":"electrocardiogram","score":0.9200000166893005},{"id":"https://openalex.org/keywords/sensing-matrix-design","display_name":"sensing matrix design","score":0.6990000009536743},{"id":"https://openalex.org/keywords/sparse-signal-recovery","display_name":"sparse signal recovery","score":0.46799999475479126},{"id":"https://openalex.org/keywords/ecg-compression","display_name":"ECG signal compression","score":0.5680000185966492}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7659348249435425},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.7201030850410461},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6911815404891968},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6611599326133728},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.6108713150024414},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5517114996910095},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5494829416275024},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4870929718017578},{"id":"https://openalex.org/C163561899","wikidata":"https://www.wikidata.org/wiki/Q1994977","display_name":"Logical matrix","level":3,"score":0.4693026840686798},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45903658866882324},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.42936885356903076},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40685921907424927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3733125329017639},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1036214828491211},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07962530851364136},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"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/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/biocas54905.2022.9948666","doi":"https://doi.org/10.1109/biocas54905.2022.9948666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas54905.2022.9948666","pdf_url":null,"source":{"id":"https://openalex.org/S4363608179","display_name":"IEEE Biomedical Circuits and Systems Conference (BioCAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Biomedical Circuits and Systems Conference (BioCAS)","raw_type":"proceedings-article"},{"id":"pmh:oai:cris.unibo.it:11585/907415","doi":null,"is_oa":false,"landing_page_url":"https://hdl.handle.net/11585/907415","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1974812526","https://openalex.org/W2054669701","https://openalex.org/W2127271355","https://openalex.org/W2129131372","https://openalex.org/W2145096794","https://openalex.org/W2166670884","https://openalex.org/W2289917018","https://openalex.org/W2301380833","https://openalex.org/W2507344106","https://openalex.org/W2578406593","https://openalex.org/W2735472725","https://openalex.org/W2798559986","https://openalex.org/W2907696891","https://openalex.org/W2950375307","https://openalex.org/W2983605412","https://openalex.org/W3107308437","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W2166152820","https://openalex.org/W7149263211","https://openalex.org/W4285296226","https://openalex.org/W2043099284","https://openalex.org/W3017895246","https://openalex.org/W2167562611","https://openalex.org/W2769370236","https://openalex.org/W2794584188","https://openalex.org/W4309242452","https://openalex.org/W2041046019"],"abstract_inverted_index":{"The":[0,135,158],"need":[1],"of":[2,35,52,79,87,110,145,160],"having":[3],"non-invasive":[4],"ECG":[5,168],"measurements":[6],"requires":[7],"the":[8,15,36,46,50,58,68,80,85,88,108,123,129,148,161],"smallest":[9],"possible":[10],"wireless":[11],"sensors,":[12],"which,":[13],"on":[14,93,166],"other":[16],"hand,":[17],"suffer":[18],"from":[19],"severe":[20],"hardware":[21],"resource":[22],"constraints.":[23],"These":[24],"limitations":[25],"may":[26],"be":[27,72],"addressed":[28],"with":[29,107,132],"data":[30],"compression":[31],"for":[32],"which":[33],"one":[34,153],"most":[37],"lightweight":[38],"methods":[39],"is":[40,49,66,164],"Compressed":[41],"Sensing":[42],"(CS).":[43],"In":[44,62,113],"CS":[45],"encoded":[47,69,89],"signal":[48,70],"output":[51],"a":[53,75,118,142,155],"linear":[54],"operator":[55],"defined":[56],"by":[57],"so-called":[59],"sensing":[60,149],"matrix.":[61],"case":[63],"this":[64],"matrix":[65],"binary,":[67],"can":[71,138],"computed":[73],"as":[74],"simple":[76],"conditioned":[77],"accumulation":[78],"input":[81],"samples.To":[82],"further":[83],"reduce":[84],"size":[86],"signal,":[90],"frameworks":[91],"based":[92],"Deep":[94],"Neural":[95],"Networks":[96],"(DNNs)":[97],"have":[98],"been":[99],"recently":[100],"successfully":[101],"proposed,":[102],"however,":[103],"they":[104],"still":[105],"struggle":[106],"training":[109],"binary":[111,124],"encoders.":[112],"our":[114],"work":[115],"we":[116],"present":[117],"strategy":[119],"that":[120],"jointly":[121],"tailors":[122],"encoder":[125],"design":[126],"problem,":[127],"and":[128],"decoder":[130],"task,":[131],"DNN":[133],"blocks.":[134],"proposed":[136,162],"method":[137],"either":[139],"automatically":[140],"find":[141],"suitable":[143],"density":[144],"ones":[146],"in":[147],"matrix,":[150],"or":[151],"let":[152],"fix":[154],"predefined":[156],"value.":[157],"effectiveness":[159],"approach":[163],"demonstrated":[165],"synthetic":[167],"signals.":[169]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2022-11-25T00:00:00"}
