{"id":"https://openalex.org/W2970821245","doi":"https://doi.org/10.1109/icip.2019.8803109","title":"Non-Contact Photoplethysmogram and Instantaneous Heart Rate Estimation from Infrared Face Video","display_name":"Non-Contact Photoplethysmogram and Instantaneous Heart Rate Estimation from Infrared Face Video","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2970821245","doi":"https://doi.org/10.1109/icip.2019.8803109","mag":"2970821245"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","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/A5101720076","display_name":"Natalia Mart\u00ednez","orcid":"https://orcid.org/0000-0002-7088-5751"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Natalia Martinez","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Duke University"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Duke University","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051941774","display_name":"Mart\u00edn Bertr\u00e1n","orcid":"https://orcid.org/0000-0003-4086-1078"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Martin Bertran","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Duke University"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Duke University","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025218580","display_name":"Guillermo Sapiro","orcid":"https://orcid.org/0000-0001-9190-6964"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guillermo Sapiro","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Duke University"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Duke University","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049698434","display_name":"Hau\u2010Tieng Wu","orcid":"https://orcid.org/0000-0002-0253-3156"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hau-Tieng Wu","raw_affiliation_strings":["Department of Mathematics and Department of Statistical Science, Duke University"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Department of Statistical Science, Duke University","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101720076"],"corresponding_institution_ids":["https://openalex.org/I170897317"],"apc_list":null,"apc_paid":null,"fwci":1.0759,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.75356194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2020","last_page":"2024"},"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":0.9994999766349792,"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/T11700","display_name":"Hemodynamic Monitoring and Therapy","score":0.9980000257492065,"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/photoplethysmogram","display_name":"Photoplethysmogram","score":0.7536520957946777},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7041603326797485},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6560897827148438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6555662155151367},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6448014974594116},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.6352701783180237},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5665699243545532},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.48610520362854004},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.14785629510879517},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09907105565071106}],"concepts":[{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.7536520957946777},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7041603326797485},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6560897827148438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6555662155151367},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6448014974594116},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.6352701783180237},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5665699243545532},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.48610520362854004},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.14785629510879517},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09907105565071106},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/icip.2019.8803109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.550000011920929,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1984554603","https://openalex.org/W1986273245","https://openalex.org/W2003922338","https://openalex.org/W2008821584","https://openalex.org/W2020080249","https://openalex.org/W2029745771","https://openalex.org/W2060581589","https://openalex.org/W2076001533","https://openalex.org/W2083872334","https://openalex.org/W2115252128","https://openalex.org/W2218803975","https://openalex.org/W2384834286","https://openalex.org/W2472200183","https://openalex.org/W2577714982","https://openalex.org/W2801411683","https://openalex.org/W2807138694","https://openalex.org/W2962946304","https://openalex.org/W2963780177","https://openalex.org/W2963791745","https://openalex.org/W4245509891","https://openalex.org/W6677618333","https://openalex.org/W6688274786","https://openalex.org/W6892708518"],"related_works":["https://openalex.org/W2103413230","https://openalex.org/W1899364738","https://openalex.org/W43171467","https://openalex.org/W1632903234","https://openalex.org/W2908959303","https://openalex.org/W2663901905","https://openalex.org/W2138569648","https://openalex.org/W2143020626","https://openalex.org/W2126942212","https://openalex.org/W2116300362"],"abstract_inverted_index":{"Extracting":[0],"the":[1,37,48,77,98,106,126,130],"instantaneous":[2],"heart":[3,146],"rate":[4,147],"(iHR)":[5],"from":[6,100],"face":[7,102,121],"videos":[8],"has":[9],"been":[10],"well":[11,18],"studied":[12],"in":[13,22,150],"recent":[14],"years.":[15],"It":[16],"is":[17,47,72,137,155],"known":[19],"that":[20,42,96,125,135],"changes":[21],"skin":[23],"color":[24],"due":[25],"to":[26,57,60,68,141],"blood":[27],"flow":[28],"can":[29],"be":[30,58],"captured":[31],"using":[32,73],"conventional":[33,142],"cameras.":[34],"One":[35,66],"of":[36,40,50,79],"main":[38],"limitations":[39],"methods":[41],"rely":[43],"on":[44,108],"this":[45,86],"principle":[46],"need":[49],"an":[51,115],"illumination":[52],"source.":[53],"Moreover,":[54],"they":[55],"have":[56],"able":[59],"operate":[61],"under":[62,81],"different":[63],"light":[64,83,152],"conditions.":[65,84,153],"way":[67],"avoid":[69],"these":[70],"constraints":[71],"infrared":[74,101,120,136],"cameras,":[75],"allowing":[76],"monitoring":[78],"iHR":[80,99],"low":[82,151],"In":[85],"work,":[87],"we":[88,113],"present":[89],"a":[90,138],"simple,":[91],"principled":[92],"signal":[93,128],"extraction":[94],"method":[95],"recovers":[97],"videos.":[103],"We":[104,123],"tested":[105],"procedure":[107],"7":[109],"participants,":[110],"for":[111,145],"whom":[112],"recorded":[114],"electrocardiogram":[116],"simultaneously":[117],"with":[118],"their":[119],"video.":[122],"checked":[124],"recovered":[127],"matched":[129],"ground":[131],"truth":[132],"iHR,":[133],"showing":[134],"promising":[139],"alternative":[140],"video":[143],"imaging":[144],"monitoring,":[148],"especially":[149],"Code":[154],"available":[156],"at":[157],"https://github.com/natalialmg/IR_iHR.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}