{"id":"https://openalex.org/W2910830939","doi":"https://doi.org/10.1109/tbcas.2019.2892297","title":"CorNET: Deep Learning Framework for PPG-Based Heart Rate Estimation and Biometric Identification in Ambulant Environment","display_name":"CorNET: Deep Learning Framework for PPG-Based Heart Rate Estimation and Biometric Identification in Ambulant Environment","publication_year":2019,"publication_date":"2019-01-10","ids":{"openalex":"https://openalex.org/W2910830939","doi":"https://doi.org/10.1109/tbcas.2019.2892297","mag":"2910830939","pmid":"https://pubmed.ncbi.nlm.nih.gov/30629514"},"language":"en","primary_location":{"id":"doi:10.1109/tbcas.2019.2892297","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbcas.2019.2892297","pdf_url":null,"source":{"id":"https://openalex.org/S80299757","display_name":"IEEE Transactions on Biomedical Circuits and Systems","issn_l":"1932-4545","issn":["1932-4545","1940-9990"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Biomedical Circuits and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://lirias.kuleuven.be/retrieve/9ef5b606-c7f0-4a2b-9b0b-cb27106f2714","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060076901","display_name":"Dwaipayan Biswas","orcid":"https://orcid.org/0000-0002-1087-3433"},"institutions":[{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Dwaipayan Biswas","raw_affiliation_strings":["imec, Leuven, Belgium"],"raw_orcid":"https://orcid.org/0000-0001-7912-3692","affiliations":[{"raw_affiliation_string":"imec, Leuven, Belgium","institution_ids":["https://openalex.org/I4210114974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009090618","display_name":"Luke Everson","orcid":"https://orcid.org/0000-0002-1209-0395"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luke Everson","raw_affiliation_strings":["University of Minnesota, Minneapolis, MN, USA"],"raw_orcid":"https://orcid.org/0000-0002-1209-0395","affiliations":[{"raw_affiliation_string":"University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110185283","display_name":"Muqing Liu","orcid":"https://orcid.org/0000-0001-6057-4960"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Muqing Liu","raw_affiliation_strings":["University of Minnesota, Minneapolis, MN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059843828","display_name":"Madhuri Panwar","orcid":"https://orcid.org/0000-0003-4763-0707"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Madhuri Panwar","raw_affiliation_strings":["Indian Institute of Technology Hyderabad, Sangareddy, India"],"raw_orcid":"https://orcid.org/0000-0003-4763-0707","affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Hyderabad, Sangareddy, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058788523","display_name":"Bram-Ernst Verhoef","orcid":"https://orcid.org/0000-0003-3535-9008"},"institutions":[{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Bram-Ernst Verhoef","raw_affiliation_strings":["imec, Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"imec, Leuven, Belgium","institution_ids":["https://openalex.org/I4210114974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020732098","display_name":"Shrishail Patki","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153656","display_name":"Holst Centre (Netherlands)","ror":"https://ror.org/04abpa862","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210153656"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Shrishail Patki","raw_affiliation_strings":["Holst, Centre, Eindhoven, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Holst, Centre, Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I4210153656"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043025421","display_name":"Chris H. Kim","orcid":"https://orcid.org/0000-0002-4194-1347"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chris H. Kim","raw_affiliation_strings":["University of Minnesota, Minneapolis, MN, USA"],"raw_orcid":"https://orcid.org/0000-0002-4194-1347","affiliations":[{"raw_affiliation_string":"University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044085104","display_name":"Amit Acharyya","orcid":"https://orcid.org/0000-0002-5636-0676"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amit Acharyya","raw_affiliation_strings":["Indian Institute of Technology Hyderabad, Sangareddy, India"],"raw_orcid":"https://orcid.org/0000-0002-5636-0676","affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Hyderabad, Sangareddy, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078656907","display_name":"Chris Van Hoof","orcid":"https://orcid.org/0000-0002-4645-3326"},"institutions":[{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Chris Van Hoof","raw_affiliation_strings":["imec, Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"imec, Leuven, Belgium","institution_ids":["https://openalex.org/I4210114974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007174194","display_name":"Mario Konijnenburg","orcid":"https://orcid.org/0000-0001-8016-0888"},"institutions":[{"id":"https://openalex.org/I4210153656","display_name":"Holst Centre (Netherlands)","ror":"https://ror.org/04abpa862","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210153656"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Mario Konijnenburg","raw_affiliation_strings":["Holst, Centre, Eindhoven, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0001-8016-0888","affiliations":[{"raw_affiliation_string":"Holst, Centre, Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I4210153656"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013502488","display_name":"Nick Van Helleputte","orcid":"https://orcid.org/0000-0002-7511-1923"},"institutions":[{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Nick Van Helleputte","raw_affiliation_strings":["imec, Leuven, Belgium"],"raw_orcid":"https://orcid.org/0000-0002-7511-1923","affiliations":[{"raw_affiliation_string":"imec, Leuven, Belgium","institution_ids":["https://openalex.org/I4210114974"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5060076901"],"corresponding_institution_ids":["https://openalex.org/I4210114974"],"apc_list":null,"apc_paid":null,"fwci":15.4432,"has_fulltext":true,"cited_by_count":282,"citation_normalized_percentile":{"value":0.99565824,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"13","issue":"2","first_page":"282","last_page":"291"},"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":0.9987999796867371,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9987000226974487,"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/photoplethysmogram","display_name":"Photoplethysmogram","score":0.7651413679122925},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6761583685874939},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5958095192909241},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5883175730705261},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5800266265869141},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.5694612860679626},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5107564926147461},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4861471354961395},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.46547621488571167},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36137667298316956},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3517932891845703},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.231696218252182},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.16357195377349854}],"concepts":[{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.7651413679122925},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6761583685874939},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5958095192909241},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5883175730705261},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5800266265869141},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.5694612860679626},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5107564926147461},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4861471354961395},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.46547621488571167},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36137667298316956},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3517932891845703},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.231696218252182},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.16357195377349854},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006339","descriptor_name":"Heart Rate","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006339","descriptor_name":"Heart Rate","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006339","descriptor_name":"Heart Rate","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016138","descriptor_name":"Walking","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D016138","descriptor_name":"Walking","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D016138","descriptor_name":"Walking","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D017156","descriptor_name":"Photoplethysmography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017156","descriptor_name":"Photoplethysmography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017156","descriptor_name":"Photoplethysmography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D056667","descriptor_name":"Biometric Identification","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D056667","descriptor_name":"Biometric Identification","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D056667","descriptor_name":"Biometric Identification","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1109/tbcas.2019.2892297","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbcas.2019.2892297","pdf_url":null,"source":{"id":"https://openalex.org/S80299757","display_name":"IEEE Transactions on Biomedical Circuits and Systems","issn_l":"1932-4545","issn":["1932-4545","1940-9990"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Biomedical Circuits and Systems","raw_type":"journal-article"},{"id":"pmid:30629514","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30629514","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on biomedical circuits and systems","raw_type":null},{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/660617","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/bitstream/123456789/660617/2/CorNET%20deep%20learning.pdf","pdf_url":"https://lirias.kuleuven.be/retrieve/9ef5b606-c7f0-4a2b-9b0b-cb27106f2714","source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ieee Transactions On Biomedical Circuits And Systems, vol. 13 (2), (282-291)","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:raiith.iith.ac.in:4855","is_oa":false,"landing_page_url":"http://raiith.iith.ac.in/4855/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400292","display_name":"Research Archive of Indian Institute of Technology Hyderabad (Indian Institute of Technology Hyderabad)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I65181880","host_organization_name":"Indian Institute of Technology Hyderabad","host_organization_lineage":["https://openalex.org/I65181880"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/660617","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/bitstream/123456789/660617/2/CorNET%20deep%20learning.pdf","pdf_url":"https://lirias.kuleuven.be/retrieve/9ef5b606-c7f0-4a2b-9b0b-cb27106f2714","source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ieee Transactions On Biomedical Circuits And Systems, vol. 13 (2), (282-291)","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7105136853","display_name":null,"funder_award_id":"DGE-1069104","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7460451870","display_name":null,"funder_award_id":"1069104","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8688626641","display_name":null,"funder_award_id":">DGE-1069104","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2910830939.pdf","grobid_xml":"https://content.openalex.org/works/W2910830939.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W976490810","https://openalex.org/W1591605500","https://openalex.org/W1723494554","https://openalex.org/W1849865010","https://openalex.org/W1882885596","https://openalex.org/W1884796122","https://openalex.org/W1999370027","https://openalex.org/W2005741801","https://openalex.org/W2037986891","https://openalex.org/W2040137929","https://openalex.org/W2064675550","https://openalex.org/W2072128103","https://openalex.org/W2080864478","https://openalex.org/W2083872334","https://openalex.org/W2106669069","https://openalex.org/W2107718042","https://openalex.org/W2107994016","https://openalex.org/W2109125512","https://openalex.org/W2109340646","https://openalex.org/W2112796928","https://openalex.org/W2117987876","https://openalex.org/W2137144554","https://openalex.org/W2151341607","https://openalex.org/W2151713296","https://openalex.org/W2152606053","https://openalex.org/W2163686179","https://openalex.org/W2251133041","https://openalex.org/W2288945889","https://openalex.org/W2292374408","https://openalex.org/W2294589404","https://openalex.org/W2417186926","https://openalex.org/W2485205055","https://openalex.org/W2537126746","https://openalex.org/W2566706735","https://openalex.org/W2569076780","https://openalex.org/W2592075940","https://openalex.org/W2610645870","https://openalex.org/W2768715246","https://openalex.org/W2769502706","https://openalex.org/W2802969504","https://openalex.org/W2897563117","https://openalex.org/W2907401108","https://openalex.org/W2963145956","https://openalex.org/W2963454111","https://openalex.org/W3098824483","https://openalex.org/W3150913844","https://openalex.org/W4231109964","https://openalex.org/W6675960015","https://openalex.org/W6684253125","https://openalex.org/W6716501603","https://openalex.org/W6739879593","https://openalex.org/W6757787679"],"related_works":["https://openalex.org/W2732360296","https://openalex.org/W1994871954","https://openalex.org/W4297152434","https://openalex.org/W2072858761","https://openalex.org/W2122132874","https://openalex.org/W1968279762","https://openalex.org/W4200107443","https://openalex.org/W4239033438","https://openalex.org/W2170552210","https://openalex.org/W4318970012"],"abstract_inverted_index":{"Advancements":[0],"in":[1,34,41,57,61,92,116,225],"wireless":[2],"sensor":[3],"network":[4,112,177],"technologies":[5],"have":[6,96],"enabled":[7],"the":[8,28,132,137,153,181],"proliferation":[9],"of":[10,15,27,30,141,199,213],"miniaturized":[11],"body-worn":[12],"sensors,":[13],"capable":[14],"long-term":[16],"pervasive":[17],"biomedical":[18],"signal":[19,90,139],"monitoring.":[20],"Remote":[21],"cardiovascular":[22],"monitoring":[23],"has":[24],"been":[25],"one":[26],"beneficiaries":[29],"this":[31,62],"development,":[32],"resulting":[33],"non-invasive,":[35],"photoplethysmography":[36],"(PPG)":[37],"sensors":[38,232],"being":[39],"used":[40,115],"ambulatory":[42],"settings.":[43],"Wrist-worn":[44],"PPG,":[45],"although":[46],"a":[47,66,86,98,104,126,159,170,173,195],"popular":[48],"alternative":[49],"to":[50,72,152,162],"electrocardiogram,":[51],"suffers":[52],"from":[53],"motion":[54],"artifacts":[55],"inherent":[56,135],"daily":[58],"life.":[59],"Hence,":[60],"paper,":[63],"we":[64],"present":[65],"novel":[67],"deep":[68,106],"learning":[69],"framework":[70],"(CorNET)":[71],"efficiently":[73],"estimate":[74],"heart":[75],"rate":[76],"(HR)":[77],"information":[78],"and":[79,209],"perform":[80],"biometric":[81],"identification":[82],"(BId)":[83],"using":[84,103],"only":[85],"wrist-worn,":[87],"single-channel":[88],"PPG":[89,186],"collected":[91,188],"ambulant":[93,227],"environment.":[94],"We":[95,193],"formulated":[97],"completely":[99],"personalized":[100],"data-driven":[101],"approach,":[102],"four-layer":[105],"neural":[107,111],"network.":[108],"Two":[109],"convolution":[110],"layers":[113],"are":[114],"conjunction":[117],"with":[118,150,230],"two":[119,234],"long":[120],"short-term":[121],"memory":[122],"layers,":[123],"followed":[124],"by":[125],"dense":[127,146],"output":[128],"layer":[129,147],"for":[130,206,215,233],"modeling":[131],"temporal":[133],"sequence":[134],"within":[136],"pulsatile":[138],"representative":[140],"cardiac":[142],"activity.":[143],"The":[144,175],"final":[145],"is":[148],"customized":[149],"respect":[151],"application,":[154],"functioning":[155],"as:":[156],"regression":[157],"layer-having":[158],"single":[160],"neuron":[161],"predict":[163],"HR;":[164],"classification":[165],"layer-two":[166],"neurons":[167],"that":[168],"identify":[169],"subject":[171],"among":[172],"group.":[174],"proposed":[176],"was":[178,221],"evaluated":[179,223],"on":[180,217],"TROIKA":[182],"dataset":[183],"having":[184],"22":[185],"records":[187],"during":[189],"various":[190],"physical":[191],"activities.":[192],"achieve":[194],"mean":[196],"absolute":[197],"error":[198],"1.47":[200],"\u00b1":[201],"3.37":[202],"beats":[203],"per":[204],"minute":[205],"HR":[207],"estimation":[208],"an":[210,226],"average":[211],"accuracy":[212],"96%":[214],"BId":[216],"20":[218],"subjects.":[219,235],"CorNET":[220],"further":[222],"successfully":[224],"use-case":[228],"scenario":[229],"custom":[231]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":31},{"year":2024,"cited_by_count":41},{"year":2023,"cited_by_count":53},{"year":2022,"cited_by_count":49},{"year":2021,"cited_by_count":65},{"year":2020,"cited_by_count":26},{"year":2019,"cited_by_count":15}],"updated_date":"2026-05-10T08:33:47.465468","created_date":"2025-10-10T00:00:00"}
