{"id":"https://openalex.org/W2901602867","doi":"https://doi.org/10.1109/globalsip.2018.8646402","title":"Low-Complexity Compressed Analysis in Eigenspace with Limited Labeled Data for Real-Time Electrocardiography Telemonitoring","display_name":"Low-Complexity Compressed Analysis in Eigenspace with Limited Labeled Data for Real-Time Electrocardiography Telemonitoring","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2901602867","doi":"https://doi.org/10.1109/globalsip.2018.8646402","mag":"2901602867"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2018.8646402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2018.8646402","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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/A5084321291","display_name":"Kai\u2013Chieh Hsu","orcid":"https://orcid.org/0000-0002-3261-7510"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kai-Chieh Hsu","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan (R.O.C)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan (R.O.C)","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056758029","display_name":"Bo-Hong Cho","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Bo-Hong Cho","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan (R.O.C)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan (R.O.C)","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075824095","display_name":"Ching-Yao Chou","orcid":"https://orcid.org/0000-0002-7270-9567"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ching-Yao Chou","raw_affiliation_strings":["Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan (R.O.C)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan (R.O.C)","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109465340","display_name":"An-Yeu Wu","orcid":"https://orcid.org/0000-0003-4731-8633"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"An-Yeu Andy Wu","raw_affiliation_strings":["National Taiwan University, Taipei, TW"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, TW","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3486,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66884377,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"11","issue":null,"first_page":"459","last_page":"463"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9986000061035156,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7251767516136169},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5819482207298279},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5707458853721619},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.528842568397522},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5252254009246826},{"id":"https://openalex.org/keywords/electrocardiography","display_name":"Electrocardiography","score":0.4928927421569824},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4839768409729004},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4351046085357666},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.41403281688690186},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3372824192047119},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21826669573783875}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7251767516136169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5819482207298279},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5707458853721619},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.528842568397522},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5252254009246826},{"id":"https://openalex.org/C2780040984","wikidata":"https://www.wikidata.org/wiki/Q79785","display_name":"Electrocardiography","level":2,"score":0.4928927421569824},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4839768409729004},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4351046085357666},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.41403281688690186},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3372824192047119},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21826669573783875},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip.2018.8646402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2018.8646402","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1551219034","https://openalex.org/W1990710993","https://openalex.org/W2050466007","https://openalex.org/W2100556411","https://openalex.org/W2112447569","https://openalex.org/W2127271355","https://openalex.org/W2129638195","https://openalex.org/W2150579376","https://openalex.org/W2163112044","https://openalex.org/W2169382889","https://openalex.org/W2296616510","https://openalex.org/W2416799949","https://openalex.org/W2543892465","https://openalex.org/W2770136513","https://openalex.org/W3099438410","https://openalex.org/W4250955649","https://openalex.org/W6676727762","https://openalex.org/W6746202071"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W3027745756","https://openalex.org/W2531880140","https://openalex.org/W3205213561","https://openalex.org/W2036609560","https://openalex.org/W346861917","https://openalex.org/W3024018414","https://openalex.org/W385273440","https://openalex.org/W4380081032","https://openalex.org/W2068561554"],"abstract_inverted_index":{"To":[0],"achieve":[1],"real-time":[2],"electrocardiography":[3],"(ECG)":[4],"telemonitoring,":[5],"one":[6],"of":[7,58,65],"the":[8,14,29,38,156],"major":[9],"obstacles":[10],"to":[11,26,82,155],"overcome":[12],"is":[13],"scarce":[15],"bandwidth.":[16],"Compressed":[17],"sensing":[18],"(CS)":[19],"has":[20,150],"emerged":[21],"as":[22,78],"a":[23,151],"promising":[24],"technique":[25],"greatly":[27],"compress":[28],"ECG":[30,47,60,132],"signal":[31],"with":[32,36,91],"little":[33],"computation.":[34],"Furthermore,":[35],"edge-classification,":[37],"data":[39],"rate":[40],"can":[41],"be":[42],"reduced":[43],"by":[44],"transmitting":[45],"abnormal":[46],"signals":[48],"only.":[49],"However,":[50],"there":[51],"are":[52],"three":[53],"main":[54],"limitations:":[55],"limited":[56],"amount":[57],"labeled":[59,131],"data,":[61],"tight":[62],"battery":[63],"constraint":[64],"edge":[66],"devices":[67],"and":[68,86,98,119,149],"low":[69,84],"response":[70],"time":[71,148],"requirement.":[72],"Task-driven":[73],"dictionary":[74],"learning":[75],"(TDDL)":[76],"appears":[77],"an":[79,108],"appropriate":[80],"classifier":[81],"render":[83],"complexity":[85,101,125],"high":[87,127],"generalization.":[88],"Combining":[89],"CS":[90,118],"TDDL":[92],"directly":[93],"(CA-N)":[94],"will":[95],"degrade":[96],"classification":[97],"require":[99],"higher":[100],"model.":[102],"In":[103],"this":[104],"paper,":[105],"we":[106],"propose":[107],"eigenspace-aided":[109],"compressed":[110],"analysis":[111,116],"(CA-E)":[112],"integrating":[113],"principal":[114],"component":[115],"(PCA),":[117],"TDDL,":[120],"sustaining":[121],"not":[122],"only":[123],"light":[124],"but":[126],"performance":[128],"under":[129],"exiguous":[130],"dataset.":[133],"Simulation":[134],"results":[135],"show":[136],"that":[137],"CA-E":[138],"reduces":[139],"about":[140],"67%":[141],"parameters,":[142],"76%":[143],"training":[144],"time,":[145],"87%":[146],"inference":[147],"smaller":[152],"accuracy":[153],"variance":[154],"CA-N":[157],"counterpart.":[158]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
