{"id":"https://openalex.org/W4403408040","doi":"https://doi.org/10.1109/icc51166.2024.10622996","title":"Millimeter-Wave Radar-Based Unsteady Vital Signs Monitoring for Smart Home","display_name":"Millimeter-Wave Radar-Based Unsteady Vital Signs Monitoring for Smart Home","publication_year":2024,"publication_date":"2024-06-09","ids":{"openalex":"https://openalex.org/W4403408040","doi":"https://doi.org/10.1109/icc51166.2024.10622996"},"language":"en","primary_location":{"id":"doi:10.1109/icc51166.2024.10622996","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icc51166.2024.10622996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2024 - IEEE International Conference on Communications","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/A5024608493","display_name":"Jinhong Zhang","orcid":"https://orcid.org/0000-0003-4741-3040"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhong Zhang","raw_affiliation_strings":["ZJUTDeus Robot Team, College of Computer Sci. and Tech., Zhejiang Univ. of Tech.,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ZJUTDeus Robot Team, College of Computer Sci. and Tech., Zhejiang Univ. of Tech.,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024406603","display_name":"Jiefan Qiu","orcid":"https://orcid.org/0000-0003-2198-1875"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiefan Qiu","raw_affiliation_strings":["ZJUTDeus Robot Team, College of Computer Sci. and Tech., Zhejiang Univ. of Tech.,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ZJUTDeus Robot Team, College of Computer Sci. and Tech., Zhejiang Univ. of Tech.,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115694846","display_name":"Ke Wang","orcid":"https://orcid.org/0000-0002-1763-6385"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Wang","raw_affiliation_strings":["ZJUTDeus Robot Team, College of Computer Sci. and Tech., Zhejiang Univ. of Tech.,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ZJUTDeus Robot Team, College of Computer Sci. and Tech., Zhejiang Univ. of Tech.,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061880171","display_name":"Kai Fang","orcid":"https://orcid.org/0000-0003-0419-1468"},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Fang","raw_affiliation_strings":["School of Math. and Computer Sci., Zhejiang A&#x0026;F Univ.,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Math. and Computer Sci., Zhejiang A&#x0026;F Univ.,Hangzhou,China","institution_ids":["https://openalex.org/I1284762954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088617561","display_name":"Ali Kashif Bashir","orcid":"https://orcid.org/0000-0003-2601-9327"},"institutions":[{"id":"https://openalex.org/I11983389","display_name":"Manchester Metropolitan University","ror":"https://ror.org/02hstj355","country_code":"GB","type":"education","lineage":["https://openalex.org/I11983389"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ali Kashif Bashir","raw_affiliation_strings":["Manchester Metropolitan Univ.,Dept. of Computing and Mathematics,Manchester,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Manchester Metropolitan Univ.,Dept. of Computing and Mathematics,Manchester,UK","institution_ids":["https://openalex.org/I11983389"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5118969723","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0003-2044-6387"},"institutions":[{"id":"https://openalex.org/I4388482657","display_name":"Shenzhen MSU-BIT University","ror":"https://ror.org/02q963474","country_code":null,"type":"education","lineage":["https://openalex.org/I4388482657"]}],"countries":["CN","MO"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Guangdong-Hong Kong-Macao Joint Lab for Emotion Intelligence and Pervasive Computing, Artificial Intelligence Research Institute, Shenzhen MSU-BIT Univ.,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong-Hong Kong-Macao Joint Lab for Emotion Intelligence and Pervasive Computing, Artificial Intelligence Research Institute, Shenzhen MSU-BIT Univ.,Shenzhen,China","institution_ids":["https://openalex.org/I4388482657"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":"3358","last_page":"3364"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9998999834060669,"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":0.9998999834060669,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9871000051498413,"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":0.9854999780654907,"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/radar","display_name":"Radar","score":0.5745379328727722},{"id":"https://openalex.org/keywords/vital-signs","display_name":"Vital signs","score":0.5487731695175171},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5120766758918762},{"id":"https://openalex.org/keywords/extremely-high-frequency","display_name":"Extremely high frequency","score":0.5016887187957764},{"id":"https://openalex.org/keywords/home-automation","display_name":"Home automation","score":0.43437132239341736},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.3939240574836731},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10458523035049438}],"concepts":[{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5745379328727722},{"id":"https://openalex.org/C2776890885","wikidata":"https://www.wikidata.org/wiki/Q1067560","display_name":"Vital signs","level":2,"score":0.5487731695175171},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5120766758918762},{"id":"https://openalex.org/C45764600","wikidata":"https://www.wikidata.org/wiki/Q570342","display_name":"Extremely high frequency","level":2,"score":0.5016887187957764},{"id":"https://openalex.org/C507571656","wikidata":"https://www.wikidata.org/wiki/Q848436","display_name":"Home automation","level":2,"score":0.43437132239341736},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.3939240574836731},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10458523035049438},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc51166.2024.10622996","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icc51166.2024.10622996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2024 - IEEE International Conference on Communications","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":16,"referenced_works":["https://openalex.org/W202519104","https://openalex.org/W1984186893","https://openalex.org/W2000982976","https://openalex.org/W2007221293","https://openalex.org/W2194775991","https://openalex.org/W2206383286","https://openalex.org/W2341513495","https://openalex.org/W2808702971","https://openalex.org/W2941074488","https://openalex.org/W2942662356","https://openalex.org/W2949860773","https://openalex.org/W3042170722","https://openalex.org/W3047013919","https://openalex.org/W3118457613","https://openalex.org/W3207984187","https://openalex.org/W6674914833"],"related_works":["https://openalex.org/W2053514191","https://openalex.org/W30340901","https://openalex.org/W1660746341","https://openalex.org/W4205307318","https://openalex.org/W2162926135","https://openalex.org/W3005991535","https://openalex.org/W2087901682","https://openalex.org/W4285102294","https://openalex.org/W3948632","https://openalex.org/W2369026988"],"abstract_inverted_index":{"The":[0],"millimeter-wave(mm-Wave)":[1],"radar":[2,29],"based":[3],"on":[4,43,58,154],"frequency-modulated":[5],"continuous":[6],"wave":[7],"(FMCW)":[8],"owns":[9],"the":[10,23,28,47,51,59,88,97,102,146,155,158,166,182,186,197,205,210],"advantages":[11],"of":[12,39,185,209],"non-contact,":[13],"privacy":[14],"protection,":[15],"high":[16],"resolution,":[17],"and":[18,20,54,91,100,140,164,189,196,213,219],"anti-interference,":[19],"it":[21],"became":[22],"hot":[24],"point":[25],"that":[26,179],"applying":[27],"in":[30,145],"monitoring":[31],"vital":[32,74,103],"signs":[33,75],"for":[34],"smart":[35],"home.":[36],"However,":[37],"most":[38],"current":[40],"studies":[41],"focus":[42],"how":[44],"to":[45,72,136,172,194,217],"improve":[46],"detection":[48],"performance":[49],"under":[50,76,105],"steady":[52,89,106,151,162],"scenarios":[53,61,78],"give":[55],"little":[56],"consideration":[57],"unsteady":[60,77],"with":[62,121],"physical":[63,109],"interference.":[64,111],"In":[65],"this":[66,113],"paper,":[67],"we":[68,115],"propose":[69],"a":[70,80,131],"method":[71,84,135],"detect":[73],"by":[79,95],"best-effort":[81],"way.":[82],"This":[83],"automatically":[85],"differentiates":[86],"between":[87],"state":[90,93,107,163,188],"motion":[92,98,110,126,147,156,187,190],"(unsteady)":[94],"identifying":[96],"type,":[99,157],"extracts":[101],"sign":[104],"without":[108],"For":[112],"end,":[114],"first":[116],"figure":[117],"out":[118],"feature":[119],"spectrograms":[120],"range-main":[122],"velocity":[123],"information":[124],"from":[125],"features.":[127],"And":[128],"then,":[129],"employ":[130],"sliding":[132],"windows":[133],"sampling":[134],"construct":[137],"data":[138],"set,":[139],"apply":[141],"ResNet-18":[142],"network":[143],"model":[144],"type":[148,191],"identification":[149],"(including":[150],"state).":[152],"Based":[153],"phase":[159],"signal":[160],"during":[161],"leverage":[165],"variational":[167],"mode":[168],"decomposition":[169],"(VMD)":[170],"algorithm":[171],"analyze":[173],"respiration/heart":[174],"rate.":[175],"Experiment":[176],"results":[177],"show":[178],"using":[180],"ResNet-18,":[181],"recognition":[183,198],"accuracy":[184],"is":[192,200],"close":[193],"97%,":[195],"delay":[199],"less":[201],"than":[202],"1.1s.":[203],"Meanwhile,":[204],"mean":[206],"absolute":[207],"errors":[208],"respiration":[211],"rate":[212,215],"heart":[214],"drop":[216],"1.7bpm":[218],"3.4bpm":[220],"respectively.":[221]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
