{"id":"https://openalex.org/W3214078534","doi":"https://doi.org/10.1109/iscit52804.2021.9590627","title":"ECG Signal Reconstruction Using FMCW Radar and Convolutional Neural Network","display_name":"ECG Signal Reconstruction Using FMCW Radar and Convolutional Neural Network","publication_year":2021,"publication_date":"2021-10-19","ids":{"openalex":"https://openalex.org/W3214078534","doi":"https://doi.org/10.1109/iscit52804.2021.9590627","mag":"3214078534"},"language":"en","primary_location":{"id":"doi:10.1109/iscit52804.2021.9590627","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscit52804.2021.9590627","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 20th International Symposium on Communications and Information Technologies (ISCIT)","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/A5052470017","display_name":"Daiki Toda","orcid":null},"institutions":[{"id":"https://openalex.org/I180203408","display_name":"Yokohama National University","ror":"https://ror.org/03zyp6p76","country_code":"JP","type":"education","lineage":["https://openalex.org/I180203408"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Daiki Toda","raw_affiliation_strings":["Yokohama Nat'l Univ., Japan"],"affiliations":[{"raw_affiliation_string":"Yokohama Nat'l Univ., Japan","institution_ids":["https://openalex.org/I180203408"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002656602","display_name":"Ren Anzai","orcid":null},"institutions":[{"id":"https://openalex.org/I180203408","display_name":"Yokohama National University","ror":"https://ror.org/03zyp6p76","country_code":"JP","type":"education","lineage":["https://openalex.org/I180203408"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ren Anzai","raw_affiliation_strings":["Yokohama Nat'l Univ., Japan"],"affiliations":[{"raw_affiliation_string":"Yokohama Nat'l Univ., Japan","institution_ids":["https://openalex.org/I180203408"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034784131","display_name":"Koichi Ichige","orcid":"https://orcid.org/0000-0001-7663-6919"},"institutions":[{"id":"https://openalex.org/I180203408","display_name":"Yokohama National University","ror":"https://ror.org/03zyp6p76","country_code":"JP","type":"education","lineage":["https://openalex.org/I180203408"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Koichi Ichige","raw_affiliation_strings":["Yokohama Nat'l Univ., Japan"],"affiliations":[{"raw_affiliation_string":"Yokohama Nat'l Univ., Japan","institution_ids":["https://openalex.org/I180203408"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005144877","display_name":"Ryo Saito","orcid":"https://orcid.org/0000-0002-7580-3567"},"institutions":[{"id":"https://openalex.org/I924388194","display_name":"Murata (Japan)","ror":"https://ror.org/04hd8bd67","country_code":"JP","type":"company","lineage":["https://openalex.org/I924388194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryo Saito","raw_affiliation_strings":["Murata Manufacturing Co., Ltd., Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Murata Manufacturing Co., Ltd., Kyoto, Japan","institution_ids":["https://openalex.org/I924388194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000725217","display_name":"Daichi Ueki","orcid":null},"institutions":[{"id":"https://openalex.org/I924388194","display_name":"Murata (Japan)","ror":"https://ror.org/04hd8bd67","country_code":"JP","type":"company","lineage":["https://openalex.org/I924388194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daichi Ueki","raw_affiliation_strings":["Murata Manufacturing Co., Ltd., Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Murata Manufacturing Co., Ltd., Kyoto, Japan","institution_ids":["https://openalex.org/I924388194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5052470017"],"corresponding_institution_ids":["https://openalex.org/I180203408"],"apc_list":null,"apc_paid":null,"fwci":1.4205,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.799289,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T11700","display_name":"Hemodynamic Monitoring and Therapy","score":0.996999979019165,"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"}},{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9958999752998352,"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/heartbeat","display_name":"Heartbeat","score":0.9359947443008423},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6951616406440735},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6645556092262268},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5652708411216736},{"id":"https://openalex.org/keywords/continuous-wave-radar","display_name":"Continuous-wave radar","score":0.5535274147987366},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5339924693107605},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5288335680961609},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.5147500038146973},{"id":"https://openalex.org/keywords/doppler-radar","display_name":"Doppler radar","score":0.4615696668624878},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4418797492980957},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43231967091560364},{"id":"https://openalex.org/keywords/pulse-doppler-radar","display_name":"Pulse-Doppler radar","score":0.42980116605758667},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4066449701786041},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3931160569190979},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3231666684150696},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.2924145460128784},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19528993964195251},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19245710968971252}],"concepts":[{"id":"https://openalex.org/C13852961","wikidata":"https://www.wikidata.org/wiki/Q17021880","display_name":"Heartbeat","level":2,"score":0.9359947443008423},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6951616406440735},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6645556092262268},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5652708411216736},{"id":"https://openalex.org/C59584813","wikidata":"https://www.wikidata.org/wiki/Q1029234","display_name":"Continuous-wave radar","level":4,"score":0.5535274147987366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5339924693107605},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5288335680961609},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.5147500038146973},{"id":"https://openalex.org/C2778559676","wikidata":"https://www.wikidata.org/wiki/Q1334213","display_name":"Doppler radar","level":3,"score":0.4615696668624878},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4418797492980957},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43231967091560364},{"id":"https://openalex.org/C139931591","wikidata":"https://www.wikidata.org/wiki/Q1029151","display_name":"Pulse-Doppler radar","level":4,"score":0.42980116605758667},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4066449701786041},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3931160569190979},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3231666684150696},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.2924145460128784},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19528993964195251},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19245710968971252},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscit52804.2021.9590627","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscit52804.2021.9590627","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 20th International Symposium on Communications and Information Technologies (ISCIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W164802248","https://openalex.org/W2550274443","https://openalex.org/W2896655658","https://openalex.org/W2898665421","https://openalex.org/W2940713197","https://openalex.org/W2948952071","https://openalex.org/W2951214606","https://openalex.org/W2972418055","https://openalex.org/W2989940096","https://openalex.org/W2994572265","https://openalex.org/W3008385144","https://openalex.org/W3015519110","https://openalex.org/W3033575361","https://openalex.org/W3039320222","https://openalex.org/W3042995237","https://openalex.org/W3092354122","https://openalex.org/W3117965214","https://openalex.org/W3118457613","https://openalex.org/W3124933330","https://openalex.org/W3126346180","https://openalex.org/W3126629520","https://openalex.org/W3127515741","https://openalex.org/W6606625492","https://openalex.org/W6789360216","https://openalex.org/W6790134871","https://openalex.org/W6790468835"],"related_works":["https://openalex.org/W4296525607","https://openalex.org/W2136561036","https://openalex.org/W2612374028","https://openalex.org/W2536326528","https://openalex.org/W4312199258","https://openalex.org/W3021331204","https://openalex.org/W3136236686","https://openalex.org/W1993115891","https://openalex.org/W2085651193","https://openalex.org/W2083177035"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,21,102],"method":[4,103,145],"for":[5,48,104],"radar-based":[6],"contactless":[7],"vital":[8,49],"sensing":[9,50],"and":[10,63,88,115],"ECG":[11,18,117,134],"(ElectroCardioGram)":[12],"signal":[13,19,148],"reconstruction":[14],"using":[15,75,109,119],"deep":[16],"learning.":[17],"is":[20,36,46],"typical":[22],"representation":[23],"of":[24,42,57,72,126],"heartbeat":[25,64,89],"signals.":[26],"However,":[27],"its":[28],"measurement":[29],"usually":[30],"requires":[31],"any":[32],"contact":[33],"device,":[34],"which":[35],"not":[37],"suitable":[38],"due":[39],"to":[40,80],"discomfort":[41],"subjects.":[43],"Radar":[44],"system":[45,77],"effective":[47],"because":[51],"it":[52],"can":[53,146],"measure":[54],"small":[55],"displacement":[56,107],"body":[58,105],"surface":[59,106],"caused":[60],"by":[61],"breathing":[62],"without":[65],"contact.":[66],"On":[67],"the":[68,73,133,143],"other":[69],"hand,":[70],"most":[71],"methods":[74],"radar":[76,114],"are":[78,95,136],"limited":[79],"evaluating":[81],"simple":[82],"indices":[83],"such":[84],"as":[85],"heart":[86],"rate":[87],"interval":[90],"while":[91],"subjects":[92],"or":[93],"devices":[94],"stationary.":[96],"In":[97],"this":[98],"paper,":[99],"we":[100,140],"propose":[101],"signals":[108,118,135],"FMCW":[110],"(Frequency-Modulated":[111],"Continuous":[112],"Wave)":[113],"reconstructing":[116],"CNN":[120],"(Convolutional":[121],"Neural":[122],"Network).":[123],"The":[124],"result":[125],"experiments":[127],"on":[128],"six":[129],"healthy":[130],"males":[131],"shows":[132],"successfully":[137],"reconstructed.":[138],"Furthermore,":[139],"confirmed":[141],"that":[142],"proposed":[144],"reconstruct":[147],"waveforms":[149],"even":[150],"in":[151],"an":[152],"environment":[153],"with":[154],"low":[155],"SNR":[156],"(Signal-to-Noise":[157],"Ratio).":[158]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
