{"id":"https://openalex.org/W4408325503","doi":"https://doi.org/10.1109/globecom52923.2024.10901265","title":"Rough-to-Fine Model-based Non-contact Heart Rate Estimation using MIMO FMCW Radar","display_name":"Rough-to-Fine Model-based Non-contact Heart Rate Estimation using MIMO FMCW Radar","publication_year":2024,"publication_date":"2024-12-08","ids":{"openalex":"https://openalex.org/W4408325503","doi":"https://doi.org/10.1109/globecom52923.2024.10901265"},"language":"en","primary_location":{"id":"doi:10.1109/globecom52923.2024.10901265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom52923.2024.10901265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2024 - 2024 IEEE Global Communications Conference","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/A5026957327","display_name":"Xintong Shi","orcid":"https://orcid.org/0000-0001-5094-3005"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xintong Shi","raw_affiliation_strings":["Keio University,Graduate School of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Keio University,Graduate School of Science and Technology","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068994330","display_name":"Mondher Bouazizi","orcid":"https://orcid.org/0000-0001-7055-9318"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mondher Bouazizi","raw_affiliation_strings":["Keio University,Department of Information and Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Keio University,Department of Information and Computer Science","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016337773","display_name":"Tomoaki Ohtsuki","orcid":"https://orcid.org/0000-0003-3961-1426"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoaki Ohtsuki","raw_affiliation_strings":["Keio University,Department of Information and Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Keio University,Department of Information and Computer Science","institution_ids":["https://openalex.org/I203951103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I203951103"],"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":"920","last_page":"925"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","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"}},{"id":"https://openalex.org/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.933899998664856,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9230999946594238,"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/continuous-wave-radar","display_name":"Continuous-wave radar","score":0.513885498046875},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4977774918079376},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4696611166000366},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.39915597438812256},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.35113656520843506},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.30669838190078735},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21440917253494263},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2104070484638214},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1702037751674652}],"concepts":[{"id":"https://openalex.org/C59584813","wikidata":"https://www.wikidata.org/wiki/Q1029234","display_name":"Continuous-wave radar","level":4,"score":0.513885498046875},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4977774918079376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4696611166000366},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.39915597438812256},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.35113656520843506},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.30669838190078735},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21440917253494263},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2104070484638214},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1702037751674652}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom52923.2024.10901265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom52923.2024.10901265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2024 - 2024 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2139961842","https://openalex.org/W2140515654","https://openalex.org/W2592075940","https://openalex.org/W3040210021","https://openalex.org/W3080194773","https://openalex.org/W3087631798","https://openalex.org/W3111057878","https://openalex.org/W3128824338","https://openalex.org/W3132639585","https://openalex.org/W3164159154","https://openalex.org/W3204477885","https://openalex.org/W3206433963","https://openalex.org/W4226191254","https://openalex.org/W4292793900","https://openalex.org/W4293094603","https://openalex.org/W4313534876","https://openalex.org/W4323065828","https://openalex.org/W4386609210"],"related_works":["https://openalex.org/W2555581363","https://openalex.org/W2091887884","https://openalex.org/W4313855562","https://openalex.org/W2142793224","https://openalex.org/W2091422131","https://openalex.org/W2892233029","https://openalex.org/W3154381281","https://openalex.org/W2742737769","https://openalex.org/W4210638523","https://openalex.org/W4200360890"],"abstract_inverted_index":{"MIMO":[0],"FMCW":[1,86],"Radar,":[2],"a":[3,121,126,152,159],"non-contact":[4],"heart":[5],"rate":[6],"(HR)":[7],"monitoring":[8],"technology,":[9],"has":[10,99],"emerged":[11],"as":[12],"one":[13],"of":[14,28,84,94,133],"the":[15,26,81,89,131,171],"superior":[16],"alternatives":[17],"to":[18,59,101],"contact-based":[19],"sensors,":[20],"providing":[21],"precise":[22],"HR":[23,40,138,162],"estimation":[24,41,139],"without":[25],"drawbacks":[27],"discomfort":[29],"or":[30],"privacy":[31],"concerns,":[32],"and":[33,57,65,88,136,141,155],"excelling":[34],"in":[35],"diverse":[36],"environmental":[37],"conditions.":[38],"Recent":[39],"studies":[42,135],"using":[43],"conventional":[44,172],"methods":[45],"have":[46],"achieved":[47],"high":[48],"accuracy":[49,140],"but":[50,77],"face":[51],"challenges":[52],"with":[53,125,147],"lengthy":[54],"processing":[55],"times":[56],"sensitivity":[58],"experimental":[60,165],"conditions,":[61],"affecting":[62],"real-time":[63],"application":[64],"robustness.":[66,142],"A":[67],"previous":[68,134],"Deep":[69],"learning":[70],"(DL)-based":[71],"approach":[72,124,154],"improves":[73],"on":[74],"these":[75],"aspects":[76],"is":[78,156],"limited":[79],"by":[80,158],"range":[82],"resolution":[83],"SISO":[85],"Radar":[87],"requirement":[90],"for":[91,112],"close":[92],"positioning":[93],"subjects.":[95],"Additionally,":[96],"this":[97],"method":[98,119],"inability":[100],"utilize":[102],"contextual":[103],"information":[104],"from":[105],"adjacent":[106],"time":[107,113],"windows":[108],"restricts":[109],"its":[110],"effectiveness":[111],"series":[114],"analysis.":[115],"Thus,":[116],"our":[117],"proposed":[118],"combines":[120],"Curve-Length":[122],"(CL)":[123],"DL":[127],"rough-to-fine":[128,161],"model,":[129],"addressing":[130],"limitations":[132],"improving":[137],"This":[143],"integrated":[144],"process":[145],"begins":[146],"human":[148],"location":[149],"detection":[150],"through":[151],"CL-based":[153],"followed":[157],"two-phase":[160],"estimation.":[163],"The":[164],"results":[166],"show":[167],"significant":[168],"improvement":[169],"over":[170],"methods.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
