{"id":"https://openalex.org/W4391697051","doi":"https://doi.org/10.1109/access.2024.3365055","title":"A Study on the Implementation of Temporal Noise-Robust Methods for Acquiring Vital Signs","display_name":"A Study on the Implementation of Temporal Noise-Robust Methods for Acquiring Vital Signs","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391697051","doi":"https://doi.org/10.1109/access.2024.3365055"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3365055","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3365055","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10431790.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10431790.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091049925","display_name":"Seongchan Park","orcid":"https://orcid.org/0009-0008-0577-2436"},"institutions":[{"id":"https://openalex.org/I161024014","display_name":"Kwangwoon University","ror":"https://ror.org/02e9zc863","country_code":"KR","type":"education","lineage":["https://openalex.org/I161024014"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seongchan Park","raw_affiliation_strings":["Department of Plasma Bio Display, Kwangwoon University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0009-0008-0577-2436","affiliations":[{"raw_affiliation_string":"Department of Plasma Bio Display, Kwangwoon University, Seoul, South Korea","institution_ids":["https://openalex.org/I161024014"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058111819","display_name":"Heejun Youn","orcid":"https://orcid.org/0009-0002-5842-1660"},"institutions":[{"id":"https://openalex.org/I161024014","display_name":"Kwangwoon University","ror":"https://ror.org/02e9zc863","country_code":"KR","type":"education","lineage":["https://openalex.org/I161024014"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Heejun Youn","raw_affiliation_strings":["Department of Plasma Bio Display, Kwangwoon University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0009-0002-5842-1660","affiliations":[{"raw_affiliation_string":"Department of Plasma Bio Display, Kwangwoon University, Seoul, South Korea","institution_ids":["https://openalex.org/I161024014"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100426788","display_name":"Seung-Hyun Lee","orcid":"https://orcid.org/0000-0002-4113-5118"},"institutions":[{"id":"https://openalex.org/I161024014","display_name":"Kwangwoon University","ror":"https://ror.org/02e9zc863","country_code":"KR","type":"education","lineage":["https://openalex.org/I161024014"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seunghyun Lee","raw_affiliation_strings":["Department of Ingenium College Liberal Arts, Kwangwoon University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-4113-5118","affiliations":[{"raw_affiliation_string":"Department of Ingenium College Liberal Arts, Kwangwoon University, Seoul, South Korea","institution_ids":["https://openalex.org/I161024014"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044901165","display_name":"Soonchul Kwon","orcid":"https://orcid.org/0000-0001-6595-6415"},"institutions":[{"id":"https://openalex.org/I161024014","display_name":"Kwangwoon University","ror":"https://ror.org/02e9zc863","country_code":"KR","type":"education","lineage":["https://openalex.org/I161024014"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soonchul Kwon","raw_affiliation_strings":["Department of Interdisciplinary Information System, Graduate School of Smart Convergence, Kwangwoon University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-6595-6415","affiliations":[{"raw_affiliation_string":"Department of Interdisciplinary Information System, Graduate School of Smart Convergence, Kwangwoon University, Seoul, South Korea","institution_ids":["https://openalex.org/I161024014"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.6511,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62778297,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"12","issue":null,"first_page":"24700","last_page":"24713"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":1.0,"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":1.0,"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":0.9907000064849854,"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/T13248","display_name":"Healthcare Technology and Patient Monitoring","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/computer-science","display_name":"Computer science","score":0.8478778600692749},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6714642643928528},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6588330268859863},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6486389636993408},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4591801166534424},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.45260703563690186},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44865933060646057},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37984105944633484},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08893588185310364}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8478778600692749},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6714642643928528},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6588330268859863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6486389636993408},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4591801166534424},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.45260703563690186},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44865933060646057},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37984105944633484},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08893588185310364},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3365055","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3365055","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10431790.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e8457906685b447ab1bd27f9bd0c1617","is_oa":true,"landing_page_url":"https://doaj.org/article/e8457906685b447ab1bd27f9bd0c1617","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 24700-24713 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3365055","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3365055","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10431790.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3961292799","display_name":null,"funder_award_id":"IITP-RS-2022-00156215","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G4700831490","display_name":null,"funder_award_id":"2022-","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G6896901417","display_name":null,"funder_award_id":"RS-2022-00156215","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"}],"funders":[{"id":"https://openalex.org/F4320321374","display_name":"Kwangwoon University","ror":"https://ror.org/02e9zc863"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391697051.pdf","grobid_xml":"https://content.openalex.org/works/W4391697051.grobid-xml"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2003922338","https://openalex.org/W2016762450","https://openalex.org/W2049150750","https://openalex.org/W2110348415","https://openalex.org/W2125358416","https://openalex.org/W2133025798","https://openalex.org/W2182380384","https://openalex.org/W2294700151","https://openalex.org/W2520509592","https://openalex.org/W2560474170","https://openalex.org/W2587037412","https://openalex.org/W2617009123","https://openalex.org/W2765157217","https://openalex.org/W2766766681","https://openalex.org/W2783608381","https://openalex.org/W2789896379","https://openalex.org/W2794284562","https://openalex.org/W2940612399","https://openalex.org/W2963430933","https://openalex.org/W2963433879","https://openalex.org/W2970861568","https://openalex.org/W2981676860","https://openalex.org/W2986906199","https://openalex.org/W2989586864","https://openalex.org/W2990152177","https://openalex.org/W2994927236","https://openalex.org/W2997767833","https://openalex.org/W2997952217","https://openalex.org/W3005942854","https://openalex.org/W3038027873","https://openalex.org/W3041614910","https://openalex.org/W3042203953","https://openalex.org/W3048664285","https://openalex.org/W3080559419","https://openalex.org/W3092889497","https://openalex.org/W3093108399","https://openalex.org/W3099224939","https://openalex.org/W3128053574","https://openalex.org/W3128263780","https://openalex.org/W3171287051","https://openalex.org/W3179019647","https://openalex.org/W3184838450","https://openalex.org/W3197691886","https://openalex.org/W3198128029","https://openalex.org/W3207432926","https://openalex.org/W3217591046","https://openalex.org/W4210644595","https://openalex.org/W4226042781","https://openalex.org/W4288358601","https://openalex.org/W4294170323","https://openalex.org/W4294975629","https://openalex.org/W4297097704","https://openalex.org/W4297816351","https://openalex.org/W4309178079","https://openalex.org/W4363674938","https://openalex.org/W4379930689","https://openalex.org/W4385801179","https://openalex.org/W4386285243","https://openalex.org/W6637373629","https://openalex.org/W6733360902","https://openalex.org/W6743449970","https://openalex.org/W6767419198","https://openalex.org/W6767673283","https://openalex.org/W6771084760","https://openalex.org/W6778939222","https://openalex.org/W6780390117"],"related_works":["https://openalex.org/W2591697403","https://openalex.org/W2944728705","https://openalex.org/W2904022177","https://openalex.org/W2359348847","https://openalex.org/W3011538607","https://openalex.org/W4294432981","https://openalex.org/W4321441197","https://openalex.org/W2953716828","https://openalex.org/W2469820710","https://openalex.org/W4321276295"],"abstract_inverted_index":{"There":[0],"has":[1],"been":[2],"a":[3,35,100,122,155,203],"surge":[4],"in":[5,52,138,227],"research":[6],"focused":[7],"on":[8],"the":[9,49,139,163,187,217],"analysis":[10],"of":[11,62,79,189],"vital":[12,70],"signs":[13,71],"using":[14],"remote":[15],"photoplethysmography":[16,23],"(rPPG)":[17],"sensors,":[18],"as":[19],"opposed":[20],"to":[21,60,84,118,129,147,216],"traditional":[22,63],"(PPG)":[24],"methods.":[25],"Unlike":[26],"PPG,":[27],"rPPG":[28,110],"imposes":[29],"no":[30],"spatial":[31],"constraints":[32],"and":[33,76,116,193,210,232],"employs":[34],"straightforward":[36],"measurement":[37],"technique,":[38],"making":[39],"it":[40],"increasingly":[41],"prevalent.":[42],"Its":[43],"integration":[44],"into":[45],"image":[46],"processing,":[47],"harnesses":[48],"remarkable":[50],"advances":[51],"artificial-intelligence":[53],"technology,":[54],"achieving":[55,91],"accuracy":[56,94,115,196],"that":[57,61,135],"is":[58],"comparable":[59],"PPG":[64],"sensors.":[65],"In":[66],"prior":[67],"studies,":[68],"obtaining":[69],"often":[72],"necessitated":[73],"an":[74,109],"unnecessary":[75],"procedural":[77],"fixation":[78],"facial":[80,156],"positions":[81],"within":[82],"frames":[83],"enhance":[85],"predictive":[86,150],"accuracy.":[87,151],"Despite":[88],"such":[89],"fixation,":[90],"notably":[92],"high":[93,114],"remained":[95],"elusive.":[96],"Here,":[97],"we":[98,201],"introduce":[99],"simple":[101],"yet":[102],"robust":[103],"approach":[104],"utilizing":[105],"videos":[106],"captured":[107],"by":[108,154],"sensor,":[111],"ensuring":[112],"both":[113,229],"resilience":[117],"noise.":[119],"We":[120],"propose":[121],"convolutional":[123],"neural":[124],"network":[125],"model":[126],"meticulously":[127],"designed":[128],"resist":[130],"interference":[131,182],"from":[132,183],"noise":[133,180],"data":[134,185],"may":[136],"arise":[137],"initial":[140],"stages,":[141],"coupled":[142],"with":[143],"effective":[144],"preprocessing":[145,159],"techniques":[146],"attain":[148],"superior":[149],"Data":[152],"extracted":[153],"extractor":[157],"undergoes":[158],"via":[160,197],"normalization.":[161],"Leveraging":[162],"Temporal":[164],"Shift":[165],"Module":[166],"(TSM),":[167],"this":[168],"normalization":[169],"efficiently":[170],"captures":[171],"temporal":[172],"relationships":[173],"without":[174],"incurring":[175],"additional":[176],"computational":[177],"overhead.":[178],"Mitigating":[179],"signal":[181],"non-facial":[184],"through":[186],"use":[188],"multiple":[190],"attention":[191],"masks":[192],"augmenting":[194],"prediction":[195],"skip":[198],"connections.":[199],"Moreover,":[200],"compile":[202],"specially":[204],"tailored":[205],"dataset":[206],"for":[207],"pulse":[208,230],"rate":[209,212,231],"breath":[211,233],"data,":[213],"catering":[214],"specifically":[215],"East":[218],"Asian":[219],"population.":[220],"The":[221],"proposed":[222],"process":[223],"demonstrates":[224],"outstanding":[225],"performance":[226],"predicting":[228],"rate.":[234]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
