{"id":"https://openalex.org/W2886394182","doi":"https://doi.org/10.1109/memea.2018.8438647","title":"Improvement of Signal Quality During Recovery of Compressively Sensed ECG Signals","display_name":"Improvement of Signal Quality During Recovery of Compressively Sensed ECG Signals","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2886394182","doi":"https://doi.org/10.1109/memea.2018.8438647","mag":"2886394182"},"language":"en","primary_location":{"id":"doi:10.1109/memea.2018.8438647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea.2018.8438647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","raw_type":"proceedings-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/A5078242889","display_name":"Dipayan Mitra","orcid":"https://orcid.org/0000-0002-7947-0878"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Dipayan Mitra","raw_affiliation_strings":["Systems and Computer Engineering, Carleton University, Ottawa, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"Systems and Computer Engineering, Carleton University, Ottawa, Ontario, Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047820386","display_name":"Hadi Zanddizari","orcid":"https://orcid.org/0000-0002-2465-9374"},"institutions":[{"id":"https://openalex.org/I67009956","display_name":"Iran University of Science and Technology","ror":"https://ror.org/01jw2p796","country_code":"IR","type":"education","lineage":["https://openalex.org/I67009956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hadi Zanddizari","raw_affiliation_strings":["University of Science and Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology, Tehran, Iran","institution_ids":["https://openalex.org/I67009956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012603099","display_name":"Sreeraman Rajan","orcid":"https://orcid.org/0000-0003-0153-6723"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sreeraman Rajan","raw_affiliation_strings":["Systems and Computer Engineering, Carleton University, Ottawa, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"Systems and Computer Engineering, Carleton University, Ottawa, Ontario, Canada","institution_ids":["https://openalex.org/I67031392"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5078242889"],"corresponding_institution_ids":["https://openalex.org/I67031392"],"apc_list":null,"apc_paid":null,"fwci":1.865,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.8696004,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9997000098228455,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9988999962806702,"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/concatenation","display_name":"Concatenation (mathematics)","score":0.7801892161369324},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7689461708068848},{"id":"https://openalex.org/keywords/kronecker-delta","display_name":"Kronecker delta","score":0.7307286262512207},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6427292823791504},{"id":"https://openalex.org/keywords/kronecker-product","display_name":"Kronecker product","score":0.6337939500808716},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.585216224193573},{"id":"https://openalex.org/keywords/bernoullis-principle","display_name":"Bernoulli's principle","score":0.5579755902290344},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5424613952636719},{"id":"https://openalex.org/keywords/undersampling","display_name":"Undersampling","score":0.5261637568473816},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.47508540749549866},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.45416244864463806},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.3894043564796448},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3884555995464325},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38803473114967346},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3845130503177643},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3745744228363037},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2632787227630615},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.10924488306045532},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10643008351325989},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.07892844080924988}],"concepts":[{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.7801892161369324},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7689461708068848},{"id":"https://openalex.org/C39482219","wikidata":"https://www.wikidata.org/wiki/Q192826","display_name":"Kronecker delta","level":2,"score":0.7307286262512207},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6427292823791504},{"id":"https://openalex.org/C46030957","wikidata":"https://www.wikidata.org/wiki/Q1238125","display_name":"Kronecker product","level":3,"score":0.6337939500808716},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.585216224193573},{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.5579755902290344},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5424613952636719},{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.5261637568473816},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.47508540749549866},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.45416244864463806},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3894043564796448},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3884555995464325},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38803473114967346},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3845130503177643},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3745744228363037},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2632787227630615},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.10924488306045532},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10643008351325989},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.07892844080924988},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/memea.2018.8438647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea.2018.8438647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1883664232","https://openalex.org/W1986931325","https://openalex.org/W2001380973","https://openalex.org/W2015418199","https://openalex.org/W2023630749","https://openalex.org/W2085063828","https://openalex.org/W2100068253","https://openalex.org/W2120365466","https://openalex.org/W2126301071","https://openalex.org/W2127271355","https://openalex.org/W2135046866","https://openalex.org/W2154483232","https://openalex.org/W2154631014","https://openalex.org/W2155321485","https://openalex.org/W2158173952","https://openalex.org/W2160547390","https://openalex.org/W2162800060","https://openalex.org/W2169382889","https://openalex.org/W2788193492"],"related_works":["https://openalex.org/W123417539","https://openalex.org/W4233239985","https://openalex.org/W2079407403","https://openalex.org/W2060299328","https://openalex.org/W2117336295","https://openalex.org/W2073634779","https://openalex.org/W3102722572","https://openalex.org/W2090103374","https://openalex.org/W1564288589","https://openalex.org/W577870507"],"abstract_inverted_index":{"This":[0,63],"paper":[1],"investigates":[2],"the":[3,6,12,22,46,69,72,78,89,92,104,114,135,142,153,157,167,177],"application":[4],"of":[5,14,34,37,50,71,128,176],"newly":[7,64,143],"proposed":[8,65,144],"Kronecker-based":[9,23,145,189],"method":[10,67,146,191],"for":[11,195],"reconstruction":[13,184],"compressively":[15],"sensed":[16],"electrocardiogram":[17],"(ECG)":[18],"signals.":[19,179],"By":[20],"applying":[21],"method,":[24],"ECG":[25,38,110,131,154,178,197],"signal":[26,74,132],"acquisition":[27],"is":[28,57,106,122,161,169,172],"done":[29,58,81],"in":[30,53,100,148,151,174],"smaller":[31,35,54],"lengths.":[32],"Collection":[33],"length":[36],"signals":[39,111,155],"leads":[40],"to":[41,77,124],"fewer":[42],"arithmetic":[43],"operations":[44],"during":[45],"compression":[47,158],"phase.":[48],"Instead":[49],"recovering":[51],"individually":[52],"lengths,":[55],"recovery":[56,66,80,138,190],"over":[59],"several":[60],"concatenated":[61],"segments.":[62],"improves":[68],"quality":[70,127],"reconstructed":[73],"when":[75,156,166],"compared":[76],"traditional":[79,136],"without":[82],"concatenation.":[83],"Two":[84],"random":[85,119],"measurement":[86],"matrices,":[87,94],"namely":[88],"Gaussian":[90],"and":[91,103,165],"Bernoulli":[93,120],"are":[95],"considered":[96],"as":[97],"sensing":[98],"matrices":[99],"this":[101],"study":[102],"methodology":[105],"evaluated":[107],"using":[108],"10":[109],"acquired":[112],"from":[113],"MIT":[115],"arrhythmia":[116],"database.":[117],"The":[118,188],"matrix":[121],"found":[123],"provide":[125,182],"better":[126,183],"recovered":[129],"compressed":[130],"even":[133],"with":[134],"compressive":[137],"techniques.":[139],"Recovery":[140],"by":[141],"results":[147],"higher":[149,186],"SNR":[150],"all":[152],"ratio":[159],"(CR)":[160],"25%":[162],"or":[163],"50%":[164],"CR":[168],"75%,":[170],"improvement":[171],"observed":[173],"majority":[175],"Lower":[180],"CRs":[181],"than":[185],"CRs.":[187],"may":[192],"be":[193],"useful":[194],"wearable":[196],"devices.":[198]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
