{"id":"https://openalex.org/W3002932430","doi":"https://doi.org/10.1109/robio49542.2019.8961710","title":"Pulse Rate Estimation using PPG Affected with Motion Artifacts Base d on VMD and Hilbert Transform","display_name":"Pulse Rate Estimation using PPG Affected with Motion Artifacts Base d on VMD and Hilbert Transform","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3002932430","doi":"https://doi.org/10.1109/robio49542.2019.8961710","mag":"3002932430"},"language":"en","primary_location":{"id":"doi:10.1109/robio49542.2019.8961710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio49542.2019.8961710","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 Robotics and Biomimetics (ROBIO)","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/A5061048667","display_name":"Wenbo Kang","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbo Kang","raw_affiliation_strings":["Shanghai University,Department of Mechatronic Engineering and Automation,Shanghai,China","Department of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University,Department of Mechatronic Engineering and Automation,Shanghai,China","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"Department of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100719010","display_name":"Min Li","orcid":"https://orcid.org/0000-0001-7750-3034"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Li","raw_affiliation_strings":["Shanghai University,Department of Mechatronic Engineering and Automation,Shanghai,China","Department of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University,Department of Mechatronic Engineering and Automation,Shanghai,China","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"Department of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029721008","display_name":"Xinze Che","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinze Che","raw_affiliation_strings":["Shanghai University,Department of Mechatronic Engineering and Automation,Shanghai,China","Department of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University,Department of Mechatronic Engineering and Automation,Shanghai,China","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"Department of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377448","display_name":"Jiaxin Wang","orcid":"https://orcid.org/0000-0003-4280-6486"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxin Wang","raw_affiliation_strings":["Shanghai University,Department of Mechatronic Engineering and Automation,Shanghai,China","Department of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University,Department of Mechatronic Engineering and Automation,Shanghai,China","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"Department of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049652316","display_name":"Fujun Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fujun Lai","raw_affiliation_strings":["Shanghai University,Department of Mechatronic Engineering and Automation,Shanghai,China","Department of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University,Department of Mechatronic Engineering and Automation,Shanghai,China","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"Department of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":0.9775,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75475628,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2676","last_page":"2681"},"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9965999722480774,"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":0.9868000149726868,"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":0.7789816856384277},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.6365042328834534},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5280172228813171},{"id":"https://openalex.org/keywords/hilbert-transform","display_name":"Hilbert transform","score":0.5100806355476379},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.5056288242340088},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.47602230310440063},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.46850278973579407},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4409182369709015},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.42567262053489685},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41073691844940186},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3747853636741638},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3236197233200073},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.22114548087120056},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16917556524276733},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15635883808135986},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13209083676338196}],"concepts":[{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.7789816856384277},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.6365042328834534},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5280172228813171},{"id":"https://openalex.org/C28799612","wikidata":"https://www.wikidata.org/wiki/Q685437","display_name":"Hilbert transform","level":3,"score":0.5100806355476379},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.5056288242340088},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.47602230310440063},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.46850278973579407},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4409182369709015},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.42567262053489685},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41073691844940186},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3747853636741638},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3236197233200073},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.22114548087120056},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16917556524276733},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15635883808135986},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13209083676338196},{"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/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio49542.2019.8961710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio49542.2019.8961710","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 Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W628712619","https://openalex.org/W1965789387","https://openalex.org/W2000562131","https://openalex.org/W2000982976","https://openalex.org/W2005741801","https://openalex.org/W2101394537","https://openalex.org/W2123649031","https://openalex.org/W2170798597","https://openalex.org/W2204117563","https://openalex.org/W2207397148","https://openalex.org/W2288202919","https://openalex.org/W2341394157","https://openalex.org/W2531793203","https://openalex.org/W2592075940","https://openalex.org/W2728385096","https://openalex.org/W2808345783","https://openalex.org/W2894800636","https://openalex.org/W2901798948","https://openalex.org/W2904456074","https://openalex.org/W2915045939","https://openalex.org/W2964061102","https://openalex.org/W3099514962","https://openalex.org/W4298082496"],"related_works":["https://openalex.org/W2083592477","https://openalex.org/W2363056446","https://openalex.org/W2353960620","https://openalex.org/W2107880197","https://openalex.org/W3190676168","https://openalex.org/W2004948286","https://openalex.org/W2060439639","https://openalex.org/W2074184731","https://openalex.org/W1986719249","https://openalex.org/W154554909"],"abstract_inverted_index":{"Physiological":[0],"information":[1],"such":[2],"as":[3],"pulse":[4,15],"rate":[5,16],"(PR)":[6],"can":[7,154],"be":[8,155],"extracted":[9],"from":[10],"photoplethysmography":[11],"(PPG)":[12],"signal.":[13],"However,":[14],"estimation":[17,37],"becomes":[18],"very":[19],"difficult":[20],"during":[21,165],"physical":[22,166],"exercise":[23,167],"since":[24],"PPG":[25,40,57,164],"is":[26],"susceptible":[27],"to":[28,55,61,75,92,160],"motion":[29],"artifacts":[30],"(MA).":[31],"This":[32],"paper":[33],"proposes":[34],"a":[35],"PR":[36,95,144,148,162],"method":[38,102,153],"using":[39,106,163],"with":[41],"MA":[42,84],"based":[43],"on":[44,157],"variational":[45],"mode":[46,65],"decomposition":[47],"(VMD)":[48],"and":[49,58,129,145],"Hilbert":[50,81],"transform.":[51,82],"VMD":[52],"was":[53,123,136,149],"used":[54,74],"decompose":[56],"acceleration":[59],"signals":[60],"generate":[62,76],"several":[63],"intrinsic":[64],"functions":[66],"(IMFs),":[67],"respectively.":[68],"And":[69],"these":[70],"obtained":[71],"IMFs":[72],"are":[73],"corresponding":[77],"marginal":[78],"spectrum":[79],"by":[80,88],"Finally,":[83],"interference":[85],"were":[86],"excluded":[87],"spectral":[89],"peak":[90],"tracking":[91],"obtain":[93],"accurate":[94],"estimation.":[96],"The":[97,139,151],"performance":[98],"of":[99,109,132],"the":[100,107,119,133,146],"proposed":[101,152],"has":[103],"been":[104],"evaluated":[105],"datasets":[108],"2015":[110],"IEEE":[111],"Signal":[112],"Processing":[113],"Cup.":[114],"Experimental":[115],"results":[116],"showed":[117],"that":[118],"average":[120],"absolute":[121,134],"error":[122,135],"1.97":[124],"beat":[125],"per":[126],"minute":[127],"(BPM)":[128],"standard":[130],"deviation":[131],"2.73":[137],"BPM.":[138],"Pearson":[140],"correlation":[141],"between":[142],"Estimated":[143],"ground-truth":[147],"0.994.":[150],"applied":[156],"wearable":[158],"devices":[159],"estimate":[161],"conditions.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}