{"id":"https://openalex.org/W2958174992","doi":"https://doi.org/10.1109/meco.2019.8760286","title":"Spectral Estimation of the Photoplethysmographic Signal by the Double Sided Prony Method","display_name":"Spectral Estimation of the Photoplethysmographic Signal by the Double Sided Prony Method","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2958174992","doi":"https://doi.org/10.1109/meco.2019.8760286","mag":"2958174992"},"language":"en","primary_location":{"id":"doi:10.1109/meco.2019.8760286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/meco.2019.8760286","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 8th Mediterranean Conference on Embedded Computing (MECO)","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/A5024847933","display_name":"D. V. Avramenko","orcid":"https://orcid.org/0000-0003-1796-436X"},"institutions":[{"id":"https://openalex.org/I4210149385","display_name":"Ryazan State Radio Engineering University","ror":"https://ror.org/04y34yk39","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210149385"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Denis V. Avramenko","raw_affiliation_strings":["Radio-engineering department, Ryazan State Radio-engineering University, Ryazan, Russia"],"affiliations":[{"raw_affiliation_string":"Radio-engineering department, Ryazan State Radio-engineering University, Ryazan, Russia","institution_ids":["https://openalex.org/I4210149385"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077280814","display_name":"V. G. Andrejev","orcid":"https://orcid.org/0000-0003-3059-3532"},"institutions":[{"id":"https://openalex.org/I4210149385","display_name":"Ryazan State Radio Engineering University","ror":"https://ror.org/04y34yk39","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210149385"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vladimir G. Andrejev","raw_affiliation_strings":["Radio-engineering department, Ryazan State Radio-engineering University, Ryazan, Russia"],"affiliations":[{"raw_affiliation_string":"Radio-engineering department, Ryazan State Radio-engineering University, Ryazan, Russia","institution_ids":["https://openalex.org/I4210149385"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5024847933"],"corresponding_institution_ids":["https://openalex.org/I4210149385"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0660295,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"49","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9994999766349792,"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":0.9994999766349792,"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/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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":0.9782000184059143,"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/autoregressive-model","display_name":"Autoregressive model","score":0.7660151124000549},{"id":"https://openalex.org/keywords/spectral-density-estimation","display_name":"Spectral density estimation","score":0.6494600772857666},{"id":"https://openalex.org/keywords/beat","display_name":"Beat (acoustics)","score":0.5699185729026794},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.553541362285614},{"id":"https://openalex.org/keywords/photoplethysmogram","display_name":"Photoplethysmogram","score":0.546760618686676},{"id":"https://openalex.org/keywords/spectral-analysis","display_name":"Spectral analysis","score":0.5196489095687866},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48034584522247314},{"id":"https://openalex.org/keywords/heart-beat","display_name":"Heart beat","score":0.44360843300819397},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42677485942840576},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.4140297770500183},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39325782656669617},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.33847227692604065},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33008265495300293},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3130572438240051},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.1604132056236267},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15925097465515137},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1251520812511444},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.11382502317428589},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07735660672187805},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.06415128707885742}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.7660151124000549},{"id":"https://openalex.org/C30049272","wikidata":"https://www.wikidata.org/wiki/Q6555326","display_name":"Spectral density estimation","level":3,"score":0.6494600772857666},{"id":"https://openalex.org/C189809214","wikidata":"https://www.wikidata.org/wiki/Q829522","display_name":"Beat (acoustics)","level":2,"score":0.5699185729026794},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.553541362285614},{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.546760618686676},{"id":"https://openalex.org/C2983668108","wikidata":"https://www.wikidata.org/wiki/Q280453","display_name":"Spectral analysis","level":3,"score":0.5196489095687866},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48034584522247314},{"id":"https://openalex.org/C2982892191","wikidata":"https://www.wikidata.org/wiki/Q253408","display_name":"Heart beat","level":2,"score":0.44360843300819397},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42677485942840576},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.4140297770500183},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39325782656669617},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.33847227692604065},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33008265495300293},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3130572438240051},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.1604132056236267},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15925097465515137},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1251520812511444},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.11382502317428589},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07735660672187805},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.06415128707885742},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C32891209","wikidata":"https://www.wikidata.org/wiki/Q483666","display_name":"Spectroscopy","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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:10.1109/meco.2019.8760286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/meco.2019.8760286","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 8th Mediterranean Conference on Embedded Computing (MECO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2895999386"],"related_works":["https://openalex.org/W2416864232","https://openalex.org/W3004551457","https://openalex.org/W3091875214","https://openalex.org/W2144144167","https://openalex.org/W2022012065","https://openalex.org/W2031066127","https://openalex.org/W3023842728","https://openalex.org/W4230751513","https://openalex.org/W569557334","https://openalex.org/W2618037398"],"abstract_inverted_index":{"We":[0,44],"propose":[1],"a":[2,17],"method":[3,63],"for":[4],"estimating":[5],"the":[6,28,31,39,46,50,54,58,65,69],"beat":[7],"frequency":[8,52],"of":[9,20,23,30,34,41,53],"multi-wavelength":[10],"light":[11],"reflections":[12],"from":[13,49],"biological":[14],"tissues":[15],"using":[16,68],"short":[18],"(dozens":[19],"heartbeats)":[21],"sequence":[22],"observational":[24],"samples":[25],"to":[26,64],"improve":[27],"accuracy":[29],"spectral":[32],"analysis":[33],"photoplethysmographic":[35],"signals":[36],"and":[37],"assess":[38],"dynamics":[40],"heart":[42],"contractions.":[43],"compare":[45],"relative":[47],"deviation":[48],"true":[51],"estimate":[55,66],"obtained":[56,67],"by":[57],"two-sided":[59],"Prony":[60],"least":[61],"squares":[62],"autoregressive":[70],"method.":[71]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}