{"id":"https://openalex.org/W2809882279","doi":"https://doi.org/10.1109/sahcn.2018.8397132","title":"CRH: A Contactless Respiration and Heartbeat Monitoring System with COTS RFID Tags","display_name":"CRH: A Contactless Respiration and Heartbeat Monitoring System with COTS RFID Tags","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2809882279","doi":"https://doi.org/10.1109/sahcn.2018.8397132","mag":"2809882279"},"language":"en","primary_location":{"id":"doi:10.1109/sahcn.2018.8397132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sahcn.2018.8397132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","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/A5010296816","display_name":"Run Zhao","orcid":"https://orcid.org/0000-0003-3744-6156"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Run Zhao","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, CN","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100391562","display_name":"Dong Wang","orcid":"https://orcid.org/0000-0003-4872-4860"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Wang","raw_affiliation_strings":["School of Software, Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114378267","display_name":"Qian Zhang","orcid":"https://orcid.org/0000-0001-9205-1881"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Zhang","raw_affiliation_strings":["School of Software, Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106623060","display_name":"Haonan Chen","orcid":"https://orcid.org/0000-0002-9641-2012"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haonan Chen","raw_affiliation_strings":["School of Software, Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020711616","display_name":"Anna Y.Q. Huang","orcid":"https://orcid.org/0000-0002-2075-2256"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anna Huang","raw_affiliation_strings":["School of Software, Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":10.8842,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.99207493,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"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":0.9979000091552734,"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/T11932","display_name":"Wireless Body Area Networks","score":0.9894000291824341,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/heartbeat","display_name":"Heartbeat","score":0.9750319719314575},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6455769538879395},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6164082884788513},{"id":"https://openalex.org/keywords/respiration","display_name":"Respiration","score":0.5879350304603577},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4798514246940613},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.46799060702323914},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.46697354316711426},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.4396817982196808},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3582085967063904},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.16364359855651855},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08293169736862183},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.06635156273841858},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.05942001938819885},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.058720558881759644}],"concepts":[{"id":"https://openalex.org/C13852961","wikidata":"https://www.wikidata.org/wiki/Q17021880","display_name":"Heartbeat","level":2,"score":0.9750319719314575},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6455769538879395},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6164082884788513},{"id":"https://openalex.org/C182215343","wikidata":"https://www.wikidata.org/wiki/Q472287","display_name":"Respiration","level":2,"score":0.5879350304603577},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4798514246940613},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.46799060702323914},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.46697354316711426},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.4396817982196808},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3582085967063904},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.16364359855651855},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08293169736862183},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.06635156273841858},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.05942001938819885},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.058720558881759644},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sahcn.2018.8397132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sahcn.2018.8397132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1894623711","https://openalex.org/W1977986674","https://openalex.org/W1978425237","https://openalex.org/W1983727766","https://openalex.org/W1999859260","https://openalex.org/W2007221293","https://openalex.org/W2065726711","https://openalex.org/W2069973845","https://openalex.org/W2073718740","https://openalex.org/W2078934723","https://openalex.org/W2085522395","https://openalex.org/W2098649495","https://openalex.org/W2104730880","https://openalex.org/W2105103777","https://openalex.org/W2108292920","https://openalex.org/W2119230255","https://openalex.org/W2322989609","https://openalex.org/W2471074815","https://openalex.org/W2507908806","https://openalex.org/W2511177866","https://openalex.org/W2732864756","https://openalex.org/W2733284788","https://openalex.org/W2734845228","https://openalex.org/W2735386748","https://openalex.org/W4253962816","https://openalex.org/W4293242440"],"related_works":["https://openalex.org/W3101675062","https://openalex.org/W2117390776","https://openalex.org/W2382928216","https://openalex.org/W2973489423","https://openalex.org/W2058272607","https://openalex.org/W3136746039","https://openalex.org/W2416682162","https://openalex.org/W2353884849","https://openalex.org/W2360743692","https://openalex.org/W2610802008"],"abstract_inverted_index":{"Monitoring":[0],"respiration":[1,31,44,66,86,112,156,170],"and":[2,11,17,29,32,45,67,87,114,126,131,157,164,171],"heartbeat":[3,33,46,88,172],"contributes":[4],"to":[5,84,110],"disease":[6],"prediction,":[7],"sub-health":[8],"diagnosis,":[9],"exercise":[10],"sleep":[12],"quality":[13],"analysis,":[14],"fatigue":[15],"warning,":[16],"even":[18],"emotion":[19],"estimation.":[20],"There":[21],"is":[22,52,63],"a":[23,91,99],"compelling":[24],"need":[25],"for":[26,153,167],"contactless,":[27],"easy-to-deploy":[28],"long-term":[30],"monitoring.":[34,173],"In":[35],"this":[36],"paper,":[37],"we":[38],"present":[39],"CRH,":[40],"an":[41],"RFID-based":[42],"contactless":[43,168],"monitoring":[47,154],"system.":[48],"The":[49],"key":[50],"insight":[51],"that":[53,147],"the":[54,60,72,77],"RFID":[55,138],"signal":[56,94,100],"fluctuation":[57],"induced":[58],"by":[59],"chest":[61],"motion":[62],"synchronous":[64],"with":[65],"heartbeat.":[68],"Therefore,":[69],"CRH":[70,120,133,148],"collects":[71],"temporal":[73],"phase":[74],"information":[75],"from":[76],"tag":[78],"array":[79],"near":[80],"or":[81],"on":[82,104],"body":[83],"extract":[85],"signals":[89],"using":[90,134],"sequence":[92],"of":[93],"processing":[95],"techniques.":[96],"We":[97,129],"propose":[98],"separation":[101],"method":[102],"based":[103],"multi-tag":[105],"empirical":[106],"mode":[107],"decomposition":[108],"(EMD)":[109],"obtain":[111],"rate":[113,116],"heart":[115,158],"after":[117],"preprocessing.":[118],"Furthermore,":[119],"can":[121,149],"also":[122],"detect":[123],"intense":[124],"motions":[125],"abnormal":[127],"respiration.":[128],"implement":[130],"evaluate":[132],"Commercial":[135],"Off-The-Shelf":[136],"(COTS)":[137],"devices.":[139],"Extensive":[140],"experimental":[141],"results":[142],"in":[143],"different":[144],"scenarios":[145],"show":[146],"achieve":[150],"high":[151,165],"accuracy":[152],"multi-user":[155],"rates,":[159],"validating":[160],"its":[161],"wide":[162],"applicability":[163],"reliability":[166],"fine-grained":[169]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":6}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}