{"id":"https://openalex.org/W2984125006","doi":"https://doi.org/10.23919/eusipco.2019.8902606","title":"Derivation of Respiratory Effort from Photoplethysmography","display_name":"Derivation of Respiratory Effort from Photoplethysmography","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2984125006","doi":"https://doi.org/10.23919/eusipco.2019.8902606","mag":"2984125006"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2019.8902606","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2019.8902606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th European Signal Processing Conference (EUSIPCO)","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/A5086705584","display_name":"Delaram Jarchi","orcid":"https://orcid.org/0000-0001-6699-8721"},"institutions":[{"id":"https://openalex.org/I110002522","display_name":"University of Essex","ror":"https://ror.org/02nkf1q06","country_code":"GB","type":"education","lineage":["https://openalex.org/I110002522"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Delaram Jarchi","raw_affiliation_strings":["School of Computer Science and Electronic Engineering, University of Essex, Colchester, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Electronic Engineering, University of Essex, Colchester, United Kingdom","institution_ids":["https://openalex.org/I110002522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004587843","display_name":"Saeid Sanei","orcid":"https://orcid.org/0000-0002-1446-5744"},"institutions":[{"id":"https://openalex.org/I52590639","display_name":"Nottingham Trent University","ror":"https://ror.org/04xyxjd90","country_code":"GB","type":"education","lineage":["https://openalex.org/I52590639"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Saeid Sanei","raw_affiliation_strings":["School of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom","institution_ids":["https://openalex.org/I52590639"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T11700","display_name":"Hemodynamic Monitoring and Therapy","score":0.9797999858856201,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.975600004196167,"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":0.9048407673835754},{"id":"https://openalex.org/keywords/respiratory-system","display_name":"Respiratory system","score":0.5764970183372498},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5607215762138367},{"id":"https://openalex.org/keywords/respiratory-monitoring","display_name":"Respiratory monitoring","score":0.5383912324905396},{"id":"https://openalex.org/keywords/sleep-apnea","display_name":"Sleep apnea","score":0.4794834554195404},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.46131110191345215},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.45099449157714844},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.43010902404785156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39289265871047974},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3610149025917053},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2905106544494629},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2767806649208069},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.18133753538131714},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.09854394197463989}],"concepts":[{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.9048407673835754},{"id":"https://openalex.org/C534529494","wikidata":"https://www.wikidata.org/wiki/Q7891","display_name":"Respiratory system","level":2,"score":0.5764970183372498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5607215762138367},{"id":"https://openalex.org/C2779358675","wikidata":"https://www.wikidata.org/wiki/Q3766250","display_name":"Respiratory monitoring","level":3,"score":0.5383912324905396},{"id":"https://openalex.org/C2777935920","wikidata":"https://www.wikidata.org/wiki/Q213600","display_name":"Sleep apnea","level":2,"score":0.4794834554195404},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.46131110191345215},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.45099449157714844},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.43010902404785156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39289265871047974},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3610149025917053},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2905106544494629},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2767806649208069},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.18133753538131714},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.09854394197463989},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"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:10.23919/eusipco.2019.8902606","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2019.8902606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th European Signal Processing Conference (EUSIPCO)","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":10,"referenced_works":["https://openalex.org/W1514224985","https://openalex.org/W2019098827","https://openalex.org/W2034528422","https://openalex.org/W2081986197","https://openalex.org/W2090218979","https://openalex.org/W2161110152","https://openalex.org/W2580142009","https://openalex.org/W2760212863","https://openalex.org/W2898689085","https://openalex.org/W6671152245"],"related_works":["https://openalex.org/W2115667775","https://openalex.org/W2344637171","https://openalex.org/W2094935227","https://openalex.org/W2758101153","https://openalex.org/W2789695786","https://openalex.org/W4200468557","https://openalex.org/W2142799187","https://openalex.org/W2381589928","https://openalex.org/W2118324905","https://openalex.org/W3113846983"],"abstract_inverted_index":{"In":[0],"this":[1,85],"paper,":[2],"a":[3,26,77,106],"new":[4],"and":[5,44,55,71],"non-invasive":[6],"method":[7],"has":[8,36],"been":[9,37],"proposed":[10],"to":[11,39,46,64],"retrieve":[12],"respiratory":[13,42,48,53,57,73,103],"effort":[14,49,58,74,104],"component":[15,43,54],"from":[16,60,105],"photoplethysmography":[17],"(PPG)":[18],"sensor.":[19],"The":[20,51,82],"PPG":[21,61],"signals":[22],"are":[23,62],"recorded":[24],"using":[25,76],"commercial":[27],"wrist":[28,107],"worn":[29,108],"device.":[30],"Inverse":[31],"synchrosqueezed":[32],"wavelet":[33],"(ISSW)":[34],"transform":[35],"applied":[38],"reconstruct":[40],"the":[41,56],"then":[45],"derive":[47],"component.":[50],"reconstructed":[52],"signal":[59,70],"shown":[63],"be":[65],"highly":[66],"correlated":[67],"with":[68],"airflow":[69],"extracted":[72],"obtained":[75],"thermocouple":[78],"secured":[79],"under":[80],"nose.":[81],"findings":[83],"in":[84,91],"paper":[86],"can":[87],"make":[88],"significant":[89],"changes":[90],"various":[92,116],"applications":[93],"such":[94,119],"as":[95,120],"for":[96,113],"sleep":[97,117,121],"analysis,":[98],"where":[99],"continuous":[100],"monitoring":[101],"of":[102,115],"sensor":[109],"unobtrusively":[110],"is":[111],"crucial":[112],"identification":[114],"abnormalities":[118],"apnea.":[122]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}