{"id":"https://openalex.org/W2096709557","doi":"https://doi.org/10.1109/icdsp.2007.4288540","title":"Blood Volume Signal Analysis with Empirical Mode Decomposition","display_name":"Blood Volume Signal Analysis with Empirical Mode Decomposition","publication_year":2007,"publication_date":"2007-07-01","ids":{"openalex":"https://openalex.org/W2096709557","doi":"https://doi.org/10.1109/icdsp.2007.4288540","mag":"2096709557"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2007.4288540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2007.4288540","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 15th International Conference on Digital Signal Processing","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/A5053441733","display_name":"George Souretis","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"George Souretis","raw_affiliation_strings":["Department Electrical and Electronic Engineering, Imperial College London, UK","Imperial College London, #N#London"],"affiliations":[{"raw_affiliation_string":"Department Electrical and Electronic Engineering, Imperial College London, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Imperial College London, #N#London","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103001848","display_name":"Danilo P. Mandic","orcid":"https://orcid.org/0000-0001-8432-3963"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Danilo P. Mandic","raw_affiliation_strings":["Department Electrical and Electronic Engineering, Imperial College London, UK","Imperial College London, #N#London"],"affiliations":[{"raw_affiliation_string":"Department Electrical and Electronic Engineering, Imperial College London, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Imperial College London, #N#London","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051210489","display_name":"Massimo Grisseli","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096640","display_name":"Royal Brompton Hospital","ror":"https://ror.org/00cv4n034","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I2800036501","https://openalex.org/I4210096640"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Massimo Grisseli","raw_affiliation_strings":["Royal Brompton Hospital, London, UK","Royal Brompton Hospital, London, UK. mgrisseli@hotmail.com"],"affiliations":[{"raw_affiliation_string":"Royal Brompton Hospital, London, UK","institution_ids":["https://openalex.org/I4210096640"]},{"raw_affiliation_string":"Royal Brompton Hospital, London, UK. mgrisseli@hotmail.com","institution_ids":["https://openalex.org/I4210096640"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101802085","display_name":"Toshihisa Tanaka","orcid":"https://orcid.org/0000-0002-5056-9508"},"institutions":[{"id":"https://openalex.org/I92614990","display_name":"Tokyo University of Agriculture and Technology","ror":"https://ror.org/00qg0kr10","country_code":"JP","type":"education","lineage":["https://openalex.org/I92614990"]},{"id":"https://openalex.org/I127317711","display_name":"Tokyo University of Agriculture","ror":"https://ror.org/05crbcr45","country_code":"JP","type":"education","lineage":["https://openalex.org/I127317711"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshihisa Tanaka","raw_affiliation_strings":["Department Electrical and Electronic Engineering, Tokyo University of Agriculture\uc2a0and\uc2a0Technology, Japan","Dept. Electrical and Electronic Engineering, Tokyo Univ. of Agriculture and Technology, Japan. tanakat@cc.tuat.ac.jp"],"affiliations":[{"raw_affiliation_string":"Department Electrical and Electronic Engineering, Tokyo University of Agriculture\uc2a0and\uc2a0Technology, Japan","institution_ids":["https://openalex.org/I127317711"]},{"raw_affiliation_string":"Dept. Electrical and Electronic Engineering, Tokyo Univ. of Agriculture and Technology, Japan. tanakat@cc.tuat.ac.jp","institution_ids":["https://openalex.org/I92614990"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022490304","display_name":"Marc M. Van Hulle","orcid":"https://orcid.org/0000-0003-1060-7044"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Marc Van Hulle","raw_affiliation_strings":["Laboratorium voor Neurofysiologie, K.U. Leuven, Belgium","K.U.Leuven, Laboratorium voor Neurofysiologie, Belgium. marc@neuro.kuleuven.ac.be"],"affiliations":[{"raw_affiliation_string":"Laboratorium voor Neurofysiologie, K.U. Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"K.U.Leuven, Laboratorium voor Neurofysiologie, Belgium. marc@neuro.kuleuven.ac.be","institution_ids":["https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5053441733"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":2.6128,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.91109014,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"459","issue":null,"first_page":"147","last_page":"150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10876","display_name":"Fault Detection and Control Systems","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.8890160322189331},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.716052234172821},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6565580368041992},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6297441124916077},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.623308539390564},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.517212986946106},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.49158915877342224},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.48270130157470703},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.43203508853912354},{"id":"https://openalex.org/keywords/signal-transfer-function","display_name":"Signal transfer function","score":0.4167477488517761},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3955199122428894},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3474562466144562},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3390255570411682},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3336961567401886},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.1791803538799286},{"id":"https://openalex.org/keywords/analog-signal","display_name":"Analog signal","score":0.16529470682144165},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.1083410382270813},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08728674054145813},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05903351306915283}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.8890160322189331},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.716052234172821},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6565580368041992},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6297441124916077},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.623308539390564},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.517212986946106},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.49158915877342224},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.48270130157470703},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.43203508853912354},{"id":"https://openalex.org/C131021393","wikidata":"https://www.wikidata.org/wiki/Q7512759","display_name":"Signal transfer function","level":4,"score":0.4167477488517761},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3955199122428894},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3474562466144562},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3390255570411682},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3336961567401886},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.1791803538799286},{"id":"https://openalex.org/C13412647","wikidata":"https://www.wikidata.org/wiki/Q174948","display_name":"Analog signal","level":3,"score":0.16529470682144165},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.1083410382270813},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08728674054145813},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05903351306915283},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","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},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdsp.2007.4288540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2007.4288540","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 15th International Conference on Digital Signal Processing","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":22,"referenced_works":["https://openalex.org/W181246441","https://openalex.org/W1555711139","https://openalex.org/W1576531944","https://openalex.org/W1598517949","https://openalex.org/W1968916172","https://openalex.org/W2007221293","https://openalex.org/W2015544881","https://openalex.org/W2047063224","https://openalex.org/W2052745931","https://openalex.org/W2056120028","https://openalex.org/W2074415591","https://openalex.org/W2097364562","https://openalex.org/W2106665847","https://openalex.org/W2122348941","https://openalex.org/W2136342333","https://openalex.org/W2159584910","https://openalex.org/W2319794630","https://openalex.org/W2387645092","https://openalex.org/W4256358309","https://openalex.org/W4285719527","https://openalex.org/W4362093348","https://openalex.org/W6634398662"],"related_works":["https://openalex.org/W2558603713","https://openalex.org/W3108403339","https://openalex.org/W2162712524","https://openalex.org/W4287867034","https://openalex.org/W2175872006","https://openalex.org/W3005783148","https://openalex.org/W3021143552","https://openalex.org/W2004821155","https://openalex.org/W2771101860","https://openalex.org/W2989325834"],"abstract_inverted_index":{"Biomedical":[0],"observations":[1],"are":[2],"often":[3],"coupled":[4],"nonlinear":[5,72],"processes":[6,73],"with":[7,74],"superimposed":[8,75],"in-":[9],"tereferences":[10],"and":[11,18,77,84],"noise.":[12,78],"The":[13,45,79,111],"nature":[14,80],"of":[15,30,68,81,96,134],"the":[16,23,28,58,62,66,69,82,89,94,124,128,132,135],"signal":[17,83],"noise,":[19,85],"as":[20,22,57,86,88,123],"well":[21,87],"data":[24,90],"acquisition":[25,91],"method":[26,92],"exclude":[27,93],"usage":[29,95],"classical":[31,97],"linear":[32,98],"techniques.":[33,99],"Empirical":[34,100],"mode":[35],"decomposition":[36],"is":[37,103],"used":[38,104],"to":[39,60,65,105,126,131],"denoise":[40,106],"a":[41,107],"blood":[42,108],"volume":[43,109],"signal.":[44,110,137],"denoising":[46,112],"performance,":[47,113],"although":[48,114],"evaluated":[49,115],"only":[50,116],"visualy,":[51,117],"presents":[52,118],"several":[53,119],"desirable":[54,120],"characteristics":[55,121],"such":[56,122],"ability":[59,125],"associate":[61,127],"physical":[63,129],"meaning":[64,130],"components":[67,133],"decomposed":[70,136],"signal.upled":[71],"intereferences":[76],"Mode":[101],"Decomposition":[102]},"counts_by_year":[{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
