{"id":"https://openalex.org/W2566381922","doi":"https://doi.org/10.3390/e19010002","title":"A Multivariate Multiscale Fuzzy Entropy Algorithm with Application to Uterine EMG Complexity Analysis","display_name":"A Multivariate Multiscale Fuzzy Entropy Algorithm with Application to Uterine EMG Complexity Analysis","publication_year":2016,"publication_date":"2016-12-22","ids":{"openalex":"https://openalex.org/W2566381922","doi":"https://doi.org/10.3390/e19010002","mag":"2566381922"},"language":"en","primary_location":{"id":"doi:10.3390/e19010002","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e19010002","pdf_url":"https://www.mdpi.com/1099-4300/19/1/2/pdf?version=1482410397","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/19/1/2/pdf?version=1482410397","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101843619","display_name":"Mosabber Uddin Ahmed","orcid":"https://orcid.org/0000-0002-4419-8632"},"institutions":[{"id":"https://openalex.org/I205746353","display_name":"University of Dhaka","ror":"https://ror.org/05wv2vq37","country_code":"BD","type":"education","lineage":["https://openalex.org/I205746353"]},{"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":["BD","GB"],"is_corresponding":true,"raw_author_name":"Mosabber Ahmed","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College, London SW7 2AZ, UK","Department of Electrical and Electronic Engineering, University of Dhaka, Dhaka 1000, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0002-4419-8632","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College, London SW7 2AZ, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Dhaka, Dhaka 1000, Bangladesh","institution_ids":["https://openalex.org/I205746353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015710555","display_name":"Theerasak Chanwimalueang","orcid":"https://orcid.org/0000-0002-4270-7683"},"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":"Theerasak Chanwimalueang","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College, London SW7 2AZ, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College, London SW7 2AZ, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007766582","display_name":"Sudhin Thayyil","orcid":"https://orcid.org/0000-0001-8795-5165"},"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":"Sudhin Thayyil","raw_affiliation_strings":["Centre for Perinatal Neuroscience, Department of Paediatrics, Imperial College, London W12 0HS, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Perinatal Neuroscience, Department of Paediatrics, Imperial College, London W12 0HS, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","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 Mandic","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College, London SW7 2AZ, UK"],"raw_orcid":"https://orcid.org/0000-0001-8432-3963","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College, London SW7 2AZ, UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101843619"],"corresponding_institution_ids":["https://openalex.org/I205746353","https://openalex.org/I47508984"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":4.5827,"has_fulltext":true,"cited_by_count":85,"citation_normalized_percentile":{"value":0.95575516,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"19","issue":"1","first_page":"2","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.987500011920929,"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"}},"topics":[{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.987500011920929,"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/T11184","display_name":"Neonatal and fetal brain pathology","score":0.9793999791145325,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9751999974250793,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.6720051169395447},{"id":"https://openalex.org/keywords/sample-entropy","display_name":"Sample entropy","score":0.6380987167358398},{"id":"https://openalex.org/keywords/approximate-entropy","display_name":"Approximate entropy","score":0.6136589646339417},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5360394716262817},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4973752796649933},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48619431257247925},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4205782115459442},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.41661956906318665},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.398984432220459},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3654412031173706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35515719652175903},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1970164179801941},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06853178143501282}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6720051169395447},{"id":"https://openalex.org/C66696666","wikidata":"https://www.wikidata.org/wiki/Q17105612","display_name":"Sample entropy","level":3,"score":0.6380987167358398},{"id":"https://openalex.org/C86859247","wikidata":"https://www.wikidata.org/wiki/Q4781760","display_name":"Approximate entropy","level":3,"score":0.6136589646339417},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5360394716262817},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4973752796649933},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48619431257247925},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4205782115459442},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.41661956906318665},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.398984432220459},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3654412031173706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35515719652175903},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1970164179801941},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06853178143501282},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/e19010002","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e19010002","pdf_url":"https://www.mdpi.com/1099-4300/19/1/2/pdf?version=1482410397","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c17bc5d007a5422e81fb3e33cdb4e9ae","is_oa":true,"landing_page_url":"https://doaj.org/article/c17bc5d007a5422e81fb3e33cdb4e9ae","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 19, Iss 1, p 2 (2016)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/19/1/2/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e19010002","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy; Volume 19; Issue 1; Pages: 2","raw_type":"Text"},{"id":"pmh:oai:spiral.imperial.ac.uk:10044/1/45030","is_oa":true,"landing_page_url":"http://hdl.handle.net/10044/1/45030","pdf_url":null,"source":{"id":"https://openalex.org/S4306401396","display_name":"Spiral (Imperial College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I47508984","host_organization_name":"Imperial College London","host_organization_lineage":["https://openalex.org/I47508984"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.3390/e19010002","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e19010002","pdf_url":"https://www.mdpi.com/1099-4300/19/1/2/pdf?version=1482410397","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2804144932","display_name":null,"funder_award_id":"EP/K025643","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G4041742824","display_name":"Multiscale Signal Processing for Next Generation Electroencephalography","funder_award_id":"EP/K025643/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6151220586","display_name":null,"funder_award_id":"EP/K025643/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6775367299","display_name":null,"funder_award_id":"CF-2015-145","funder_id":"https://openalex.org/F4320320351","funder_display_name":"Commonwealth Scholarship Commission"},{"id":"https://openalex.org/G8167280567","display_name":null,"funder_award_id":"P51286","funder_id":"https://openalex.org/F4320320283","funder_display_name":"Imperial College London"}],"funders":[{"id":"https://openalex.org/F4320314707","display_name":"Government of the United Kingdom","ror":"https://ror.org/05wnh3t63"},{"id":"https://openalex.org/F4320320283","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10"},{"id":"https://openalex.org/F4320320351","display_name":"Commonwealth Scholarship Commission","ror":"https://ror.org/051x4wh35"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2566381922.pdf","grobid_xml":"https://content.openalex.org/works/W2566381922.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W846368589","https://openalex.org/W1521862445","https://openalex.org/W1550818700","https://openalex.org/W1552648027","https://openalex.org/W1604758068","https://openalex.org/W1862394037","https://openalex.org/W1969291544","https://openalex.org/W1975880065","https://openalex.org/W1984889099","https://openalex.org/W1984976654","https://openalex.org/W1990785877","https://openalex.org/W1993841890","https://openalex.org/W1996687787","https://openalex.org/W2007979658","https://openalex.org/W2016710902","https://openalex.org/W2026074664","https://openalex.org/W2029614503","https://openalex.org/W2030803838","https://openalex.org/W2030892577","https://openalex.org/W2036613247","https://openalex.org/W2041287404","https://openalex.org/W2059851411","https://openalex.org/W2068199737","https://openalex.org/W2068883935","https://openalex.org/W2073226533","https://openalex.org/W2074189988","https://openalex.org/W2077204677","https://openalex.org/W2083928853","https://openalex.org/W2093266575","https://openalex.org/W2099742433","https://openalex.org/W2104933073","https://openalex.org/W2118978333","https://openalex.org/W2121383959","https://openalex.org/W2133849899","https://openalex.org/W2148143831","https://openalex.org/W2148657112","https://openalex.org/W2162800060","https://openalex.org/W2164102251","https://openalex.org/W2164104048","https://openalex.org/W2218383638","https://openalex.org/W2278140725","https://openalex.org/W2495493871","https://openalex.org/W4211007335","https://openalex.org/W4234865278","https://openalex.org/W4301166702","https://openalex.org/W6648815465","https://openalex.org/W6682141768"],"related_works":["https://openalex.org/W2093589470","https://openalex.org/W2415751681","https://openalex.org/W1862394037","https://openalex.org/W2889925888","https://openalex.org/W3121271574","https://openalex.org/W4205160129","https://openalex.org/W2084594947","https://openalex.org/W2890995276","https://openalex.org/W4381804751","https://openalex.org/W2076258781"],"abstract_inverted_index":{"The":[0],"recently":[1],"introduced":[2],"multivariate":[3,89],"multiscale":[4,90],"entropy":[5,73,92],"(MMSE)":[6],"has":[7],"been":[8],"successfully":[9],"used":[10],"to":[11,26],"quantify":[12],"structural":[13],"complexity":[14],"in":[15,39,121],"terms":[16],"of":[17,34,46,125,139],"nonlinear":[18],"within-":[19],"and":[20,31,67,71,78,95],"cross-channel":[21],"correlations":[22],"as":[23,25,57,105,107],"well":[24,106],"reveal":[27],"complex":[28],"dynamical":[29],"couplings":[30],"various":[32],"degrees":[33],"synchronization":[35],"over":[36,99],"multiple":[37],"scales":[38,77],"real-world":[40,108],"multichannel":[41],"data.":[42,82],"However,":[43],"the":[44,51,61,88,100,122,135],"applicability":[45],"MMSE":[47,101],"is":[48],"limited":[49],"by":[50],"coarse-graining":[52],"process":[53],"which":[54],"defines":[55],"scales,":[56],"it":[58],"successively":[59],"reduces":[60],"data":[62],"length":[63,81],"for":[64,79],"each":[65],"scale":[66],"thus":[68],"yields":[69],"inaccurate":[70],"undefined":[72],"estimates":[74],"at":[75],"higher":[76],"short":[80,112],"To":[83],"that":[84],"cause,":[85],"we":[86],"propose":[87],"fuzzy":[91],"(MMFE)":[93],"algorithm":[94],"demonstrate":[96],"its":[97],"superiority":[98],"on":[102,116],"both":[103],"synthetic":[104],"uterine":[109],"electromyography":[110],"(EMG)":[111],"duration":[113],"signals.":[114],"Based":[115],"MMFE":[117],"features,":[118],"an":[119],"improvement":[120],"classification":[123],"accuracy":[124],"term-preterm":[126],"deliveries":[127],"was":[128],"achieved,":[129],"with":[130],"a":[131],"maximum":[132],"area":[133],"under":[134],"curve":[136],"(AUC)":[137],"value":[138],"0.99.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2017-01-06T00:00:00"}
