{"id":"https://openalex.org/W2896655658","doi":"https://doi.org/10.1109/access.2018.2875737","title":"Spectrogram-Based Non-Contact RRI Estimation by Accurate Peak Detection Algorithm","display_name":"Spectrogram-Based Non-Contact RRI Estimation by Accurate Peak Detection Algorithm","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2896655658","doi":"https://doi.org/10.1109/access.2018.2875737","mag":"2896655658"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2875737","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2875737","pdf_url":null,"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://doi.org/10.1109/access.2018.2875737","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008604168","display_name":"Kohei Yamamoto","orcid":"https://orcid.org/0000-0001-9669-3566"},"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":"Kohei Yamamoto","raw_affiliation_strings":["Graduate School of Science and Technology, Keio University, Kanagawa, Japan"],"raw_orcid":"https://orcid.org/0000-0001-9669-3566","affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Keio University, Kanagawa, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066312369","display_name":"Kentaroh Toyoda","orcid":"https://orcid.org/0000-0002-6233-3121"},"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":"Kentaroh Toyoda","raw_affiliation_strings":["Department of Information and Computer Science, Keio University, Kanagawa, Japan"],"raw_orcid":"https://orcid.org/0000-0002-6233-3121","affiliations":[{"raw_affiliation_string":"Department of Information and Computer Science, Keio University, Kanagawa, Japan","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":["Department of Information and Computer Science, Keio University, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Computer Science, Keio University, Kanagawa, Japan","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":{"value":2075,"currency":"USD","value_usd":2075},"apc_paid":{"value":2075,"currency":"USD","value_usd":2075},"fwci":1.6783,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.83154387,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"6","issue":null,"first_page":"60369","last_page":"60379"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9912999868392944,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9757999777793884,"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/spectrogram","display_name":"Spectrogram","score":0.8578885793685913},{"id":"https://openalex.org/keywords/doppler-effect","display_name":"Doppler effect","score":0.6203076243400574},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5934587717056274},{"id":"https://openalex.org/keywords/heartbeat","display_name":"Heartbeat","score":0.5026955604553223},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4670713543891907},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4665769040584564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4579246938228607},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.45202893018722534},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3764200806617737},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29659217596054077},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2733455300331116},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13733935356140137}],"concepts":[{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.8578885793685913},{"id":"https://openalex.org/C142757262","wikidata":"https://www.wikidata.org/wiki/Q76436","display_name":"Doppler effect","level":2,"score":0.6203076243400574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5934587717056274},{"id":"https://openalex.org/C13852961","wikidata":"https://www.wikidata.org/wiki/Q17021880","display_name":"Heartbeat","level":2,"score":0.5026955604553223},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4670713543891907},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4665769040584564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4579246938228607},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.45202893018722534},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3764200806617737},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29659217596054077},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2733455300331116},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13733935356140137},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2875737","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2875737","pdf_url":null,"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:ac3e578b633e46b2958419fa7f140f14","is_oa":true,"landing_page_url":"https://doaj.org/article/ac3e578b633e46b2958419fa7f140f14","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 6, Pp 60369-60379 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2875737","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2875737","pdf_url":null,"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":[{"display_name":"Good health and well-being","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1984794457","https://openalex.org/W1985694466","https://openalex.org/W2000509083","https://openalex.org/W2012427412","https://openalex.org/W2028636860","https://openalex.org/W2039260079","https://openalex.org/W2071541134","https://openalex.org/W2090269566","https://openalex.org/W2097063432","https://openalex.org/W2105891650","https://openalex.org/W2133225252","https://openalex.org/W2141616094","https://openalex.org/W2168584464","https://openalex.org/W2171395115","https://openalex.org/W2182454696","https://openalex.org/W2193763775","https://openalex.org/W2305493398","https://openalex.org/W2339153830","https://openalex.org/W2566669129","https://openalex.org/W2727711922","https://openalex.org/W2740067166","https://openalex.org/W2741566575","https://openalex.org/W6684708716"],"related_works":["https://openalex.org/W4385543909","https://openalex.org/W2530685530","https://openalex.org/W3039320222","https://openalex.org/W3199640442","https://openalex.org/W4375868962","https://openalex.org/W2088854863","https://openalex.org/W2011227383","https://openalex.org/W1898280036","https://openalex.org/W2897924318","https://openalex.org/W2138997758"],"abstract_inverted_index":{"Demands":[0],"for":[1],"vital":[2],"sign":[3],"monitoring":[4],"are":[5,81,154],"increasing":[6],"in":[7,107,171],"the":[8,15,25,32,76,88,94,97,101,108,119,135,140,145,149,162,166,172,186,196,200,205,210,219,224,236,240,244],"field":[9],"of":[10,34,53,96,122,199,218,226,243],"health":[11],"care.":[12],"In":[13,57,73,115,139],"particular,":[14],"R-R":[16],"Interval":[17],"(RRI)":[18],"estimation":[19,68,132],"has":[20],"been":[21,43],"studied":[22],"extensively,":[23],"since":[24],"RRI":[26,67,89,131],"variation":[27],"is":[28,90,216],"highly":[29],"related":[30],"with":[31],"stress":[33,211,225],"a":[35,54,64,71,84,111,128,175,227,230],"subject.":[36,228],"Various":[37],"Doppler":[38,55,65,129],"sensor-based-heartbeat":[39],"detection":[40],"methods":[41],"have":[42,62],"proposed":[44,63,141,187,233],"so":[45],"far,":[46],"thanks":[47],"to":[48,79,143,152,222],"non-contact":[49],"and":[50,86,160,181,192],"non-invasive":[51],"features":[52],"sensor.":[56],"our":[58,123,190,232],"previous":[59,124,191],"research,":[60],"we":[61,126,183,208],"sensor-based":[66,130],"method":[69,133,188,234],"by":[70,92,195,239],"spectrogram.":[72],"this":[74,116],"method,":[75,125,142],"spectra":[77],"due":[78,151],"heartbeats":[80,153],"integrated":[82,98],"on":[83,168,204],"spectrogram,":[85],"then":[87],"estimated":[91,206],"detecting":[93],"peaks":[95,103,150,158],"spectrum.":[99],"However,":[100],"undesired":[102],"sometimes":[104],"appear":[105],"even":[106],"situation":[109],"where":[110,174],"subject":[112,176],"sits":[113],"still.":[114],"paper,":[117],"as":[118],"extended":[120],"version":[121],"propose":[127],"leveraging":[134],"accurate":[136],"peak":[137,147],"detection.":[138],"prevent":[144],"incorrect":[146],"detection,":[148],"detected":[155],"using":[156],"some":[157],"before":[159],"after":[161],"investigated":[163],"peak.":[164],"Through":[165],"experiments":[167],"10":[169],"subjects":[170],"cases":[173],"was":[177],"sitting":[178],"still,":[179],"typing,":[180],"speaking,":[182],"confirmed":[184],"that":[185],"improved":[189],"state-of-the-art":[193],"ones":[194,238],"root-mean-squared":[197],"error":[198,242],"RRI.":[201],"Furthermore,":[202],"based":[203],"RRI,":[207],"calculated":[209],"index":[212],"low-frequency/high-frequency":[213],"(LF/HF),":[214],"which":[215],"one":[217],"useful":[220],"indices":[221],"evaluate":[223],"As":[229],"result,":[231],"outperformed":[235],"other":[237],"relative":[241],"LF/HF.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}