{"id":"https://openalex.org/W4308216588","doi":"https://doi.org/10.1109/bhi56158.2022.9926897","title":"Spectrum Estimation of Heart Rate Variability Using Low-rank Matrix Completion","display_name":"Spectrum Estimation of Heart Rate Variability Using Low-rank Matrix Completion","publication_year":2022,"publication_date":"2022-09-27","ids":{"openalex":"https://openalex.org/W4308216588","doi":"https://doi.org/10.1109/bhi56158.2022.9926897"},"language":"en","primary_location":{"id":"doi:10.1109/bhi56158.2022.9926897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi56158.2022.9926897","pdf_url":null,"source":{"id":"https://openalex.org/S4363608521","display_name":"2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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-EMBS International Conference on Biomedical and Health Informatics (BHI)","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/A5053733933","display_name":"Lei L\u00fc","orcid":"https://orcid.org/0000-0001-9139-8955"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]},{"id":"https://openalex.org/I4210146410","display_name":"Science Oxford","ror":"https://ror.org/04j8yhy50","country_code":"GB","type":"nonprofit","lineage":["https://openalex.org/I4210146410"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Lei Lu","raw_affiliation_strings":["University of Oxford,Department of Engineering Science,Oxford,UK","Department of Engineering Science, University of Oxford, Oxford, UK"],"affiliations":[{"raw_affiliation_string":"University of Oxford,Department of Engineering Science,Oxford,UK","institution_ids":["https://openalex.org/I4210146410","https://openalex.org/I40120149"]},{"raw_affiliation_string":"Department of Engineering Science, University of Oxford, Oxford, UK","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055850985","display_name":"Tingting Zhu","orcid":"https://orcid.org/0000-0002-1552-5630"},"institutions":[{"id":"https://openalex.org/I4210146410","display_name":"Science Oxford","ror":"https://ror.org/04j8yhy50","country_code":"GB","type":"nonprofit","lineage":["https://openalex.org/I4210146410"]},{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tingting Zhu","raw_affiliation_strings":["University of Oxford,Department of Engineering Science,Oxford,UK","Department of Engineering Science, University of Oxford, Oxford, UK"],"affiliations":[{"raw_affiliation_string":"University of Oxford,Department of Engineering Science,Oxford,UK","institution_ids":["https://openalex.org/I4210146410","https://openalex.org/I40120149"]},{"raw_affiliation_string":"Department of Engineering Science, University of Oxford, Oxford, UK","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070333614","display_name":"Yuan\u2010Ting Zhang","orcid":"https://orcid.org/0000-0003-4150-5470"},"institutions":[{"id":"https://openalex.org/I2800906782","display_name":"Hong Kong Science and Technology Parks Corporation","ror":"https://ror.org/05q8mqd91","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I2800906782"]},{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Yuan-Ting Zhang","raw_affiliation_strings":["Hong Kong Center for Cerebrocardiovascular Health Engineering (COCHE), Hong Kong Science and Technology Park,Hong Kong,SAR,China","Hong Kong Center for Cerebrocardiovascular Health Engineering (COCHE), Hong Kong Science and Technology Park, Hong Kong, SAR, China","Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, SAR, China"],"affiliations":[{"raw_affiliation_string":"Hong Kong Center for Cerebrocardiovascular Health Engineering (COCHE), Hong Kong Science and Technology Park,Hong Kong,SAR,China","institution_ids":["https://openalex.org/I2800906782"]},{"raw_affiliation_string":"Hong Kong Center for Cerebrocardiovascular Health Engineering (COCHE), Hong Kong Science and Technology Park, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I2800906782"]},{"raw_affiliation_string":"Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040302008","display_name":"David A. Clifton","orcid":"https://orcid.org/0000-0002-9848-8555"},"institutions":[{"id":"https://openalex.org/I4210125878","display_name":"Suzhou Research Institute","ror":"https://ror.org/03ebk0c60","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210125878"]},{"id":"https://openalex.org/I4210146410","display_name":"Science Oxford","ror":"https://ror.org/04j8yhy50","country_code":"GB","type":"nonprofit","lineage":["https://openalex.org/I4210146410"]},{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"David A. Clifton","raw_affiliation_strings":["University of Oxford,Department of Engineering Science,Oxford,UK","Oxford Suzhou Centre for Advanced Research, Suzhou, China","Department of Engineering Science, University of Oxford, Oxford, UK"],"affiliations":[{"raw_affiliation_string":"University of Oxford,Department of Engineering Science,Oxford,UK","institution_ids":["https://openalex.org/I4210146410","https://openalex.org/I40120149"]},{"raw_affiliation_string":"Oxford Suzhou Centre for Advanced Research, Suzhou, China","institution_ids":["https://openalex.org/I4210125878"]},{"raw_affiliation_string":"Department of Engineering Science, University of Oxford, Oxford, UK","institution_ids":["https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5053733933"],"corresponding_institution_ids":["https://openalex.org/I40120149","https://openalex.org/I4210146410"],"apc_list":null,"apc_paid":null,"fwci":0.6415,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62668666,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"101","issue":null,"first_page":"01","last_page":"04"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9948999881744385,"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/heart-rate-variability","display_name":"Heart rate variability","score":0.7923623323440552},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7312928438186646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.598605751991272},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5021846294403076},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47934088110923767},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.4712945222854614},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4585232138633728},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4557911157608032},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4144759476184845},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.41440650820732117},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3902071416378021},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3489137291908264},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3009225130081177},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26913854479789734},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2441524863243103},{"id":"https://openalex.org/keywords/heart-rate","display_name":"Heart rate","score":0.15314167737960815},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09324690699577332}],"concepts":[{"id":"https://openalex.org/C71635504","wikidata":"https://www.wikidata.org/wiki/Q933954","display_name":"Heart rate variability","level":4,"score":0.7923623323440552},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7312928438186646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.598605751991272},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5021846294403076},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47934088110923767},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.4712945222854614},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4585232138633728},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4557911157608032},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4144759476184845},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.41440650820732117},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3902071416378021},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3489137291908264},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3009225130081177},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26913854479789734},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2441524863243103},{"id":"https://openalex.org/C2777953023","wikidata":"https://www.wikidata.org/wiki/Q1073121","display_name":"Heart rate","level":3,"score":0.15314167737960815},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09324690699577332},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bhi56158.2022.9926897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi56158.2022.9926897","pdf_url":null,"source":{"id":"https://openalex.org/S4363608521","display_name":"2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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-EMBS International Conference on Biomedical and Health Informatics (BHI)","raw_type":"proceedings-article"},{"id":"pmh:oai:ora.ox.ac.uk:uuid:3545cef7-9a35-428d-8391-0b3f5a4d4baa","is_oa":false,"landing_page_url":"https://ora.ox.ac.uk/objects/uuid:3545cef7-9a35-428d-8391-0b3f5a4d4baa","pdf_url":null,"source":{"id":"https://openalex.org/S4306402636","display_name":"Oxford University Research Archive (ORA) (University of Oxford)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I40120149","host_organization_name":"University of Oxford","host_organization_lineage":["https://openalex.org/I40120149"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symplectic Elements","raw_type":"Conference item"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1621084367","https://openalex.org/W2006079060","https://openalex.org/W2095409369","https://openalex.org/W2162800060","https://openalex.org/W2162840817","https://openalex.org/W2611328865","https://openalex.org/W2899013453","https://openalex.org/W2902508268","https://openalex.org/W2913524877","https://openalex.org/W2919854899","https://openalex.org/W2997412243","https://openalex.org/W3008827181","https://openalex.org/W3035456857","https://openalex.org/W3038662035","https://openalex.org/W3082604715","https://openalex.org/W3131281965","https://openalex.org/W4225379381","https://openalex.org/W6759836712","https://openalex.org/W6779812169"],"related_works":["https://openalex.org/W4380150146","https://openalex.org/W3024870410","https://openalex.org/W2410652950","https://openalex.org/W4283773154","https://openalex.org/W3139174110","https://openalex.org/W4289597203","https://openalex.org/W2085630472","https://openalex.org/W1977098485","https://openalex.org/W4285201053","https://openalex.org/W2753779043"],"abstract_inverted_index":{"Heart":[0],"rate":[1],"variability":[2],"(HRV)":[3],"is":[4,97],"an":[5],"important":[6],"non-invasive":[7],"parameter":[8],"to":[9,119,127],"assess":[10],"the":[11,45,67,107,121,129,136,142,154,169,184,193],"cardiac":[12],"autonomic":[13],"nervous":[14],"system.":[15],"In":[16,54],"particular,":[17],"spectrum":[18,47,64],"matrices":[19],"of":[20,51,66,93,106,131,138,148,188,195],"HRV":[21,46,68,87,108,122,197],"data":[22,37,69],"have":[23],"been":[24],"widely":[25],"used":[26,118,159],"for":[27,62,86,160,192],"physical":[28],"and":[29,39,48,117,153,164,180,186],"mental":[30],"health":[31,52],"monitoring.":[32,53],"However,":[33],"measurement":[34],"uncertainties":[35],"from":[36,103],"acquisition":[38],"physiological":[40],"factors":[41],"can":[42,100],"easily":[43],"affect":[44],"degrade":[49],"outcomes":[50],"this":[55],"paper,":[56],"we":[57],"propose":[58],"a":[59,90,161],"new":[60],"model":[61,79,92],"incomplete":[63,196],"estimation":[65,137,171,194],"based":[70],"on":[71,135],"matrix":[72,94],"completion":[73,95],"(MC).":[74],"We":[75],"show":[76],"that":[77,99],"our":[78,132,165,189],"performs":[80],"efficiently":[81],"when":[82],"estimating":[83],"missing":[84,139],"entries":[85,140],"spectra.":[88,109,143,198],"Moreover,":[89],"refined":[91],"(RMC)":[96],"proposed":[98],"be":[101],"derived":[102],"correlation":[104],"analysis":[105],"Two":[110],"benchmark":[111],"electrocardiography":[112],"(ECG)":[113],"datasets":[114],"are":[115,125,158],"retrieved":[116],"derive":[120],"data,":[123],"which":[124],"employed":[126],"evaluate":[128],"performance":[130],"RMC":[133,166],"method":[134,157,167,191],"in":[141],"Furthermore,":[144],"four":[145],"different":[146,174],"types":[147],"deep":[149],"recurrent":[150],"neural":[151],"networks":[152],"traditional":[155],"MC":[156],"comparison":[162,181],"study,":[163],"obtains":[168],"least":[170],"error":[172],"with":[173],"masking":[175],"ratios.":[176],"The":[177],"experimental":[178],"studies":[179],"results":[182],"demonstrate":[183],"advantages":[185],"robustness":[187],"developed":[190]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}