{"id":"https://openalex.org/W1984889099","doi":"https://doi.org/10.1109/lsp.2011.2180713","title":"Multivariate Multiscale Entropy Analysis","display_name":"Multivariate Multiscale Entropy Analysis","publication_year":2011,"publication_date":"2011-12-20","ids":{"openalex":"https://openalex.org/W1984889099","doi":"https://doi.org/10.1109/lsp.2011.2180713","mag":"1984889099"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2011.2180713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2011.2180713","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-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/A5101843619","display_name":"Mosabber Uddin Ahmed","orcid":"https://orcid.org/0000-0002-4419-8632"},"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":"Mosabber Uddin Ahmed","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College London, London, UK","Dept. of Electr. & Electron. Eng., Imperial Coll., London, London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Dept. of Electr. & Electron. Eng., Imperial Coll., London, London, 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 P. Mandic","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College London, London, UK","Dept. of Electr. & Electron. Eng., Imperial Coll., London, London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Dept. of Electr. & Electron. Eng., Imperial Coll., London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101843619"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":5.6674,"has_fulltext":false,"cited_by_count":229,"citation_normalized_percentile":{"value":0.9643898,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"19","issue":"2","first_page":"91","last_page":"94"},"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":0.9437000155448914,"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":0.9437000155448914,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9366999864578247,"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/T10320","display_name":"Neural Networks and Applications","score":0.9154999852180481,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/multivariate-statistics","display_name":"Multivariate statistics","score":0.872235894203186},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.7717452049255371},{"id":"https://openalex.org/keywords/sample-entropy","display_name":"Sample entropy","score":0.7432506084442139},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6345012784004211},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.591346263885498},{"id":"https://openalex.org/keywords/multivariate-analysis","display_name":"Multivariate analysis","score":0.5358416438102722},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4470069408416748},{"id":"https://openalex.org/keywords/transfer-entropy","display_name":"Transfer entropy","score":0.4468289613723755},{"id":"https://openalex.org/keywords/approximate-entropy","display_name":"Approximate entropy","score":0.41927242279052734},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4082868993282318},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38752758502960205},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3280754089355469},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.3097652494907379},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.29434412717819214}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.872235894203186},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.7717452049255371},{"id":"https://openalex.org/C66696666","wikidata":"https://www.wikidata.org/wiki/Q17105612","display_name":"Sample entropy","level":3,"score":0.7432506084442139},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6345012784004211},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.591346263885498},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.5358416438102722},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4470069408416748},{"id":"https://openalex.org/C182049051","wikidata":"https://www.wikidata.org/wiki/Q17147155","display_name":"Transfer entropy","level":3,"score":0.4468289613723755},{"id":"https://openalex.org/C86859247","wikidata":"https://www.wikidata.org/wiki/Q4781760","display_name":"Approximate entropy","level":3,"score":0.41927242279052734},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4082868993282318},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38752758502960205},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3280754089355469},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.3097652494907379},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29434412717819214},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lsp.2011.2180713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2011.2180713","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.476.3934","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.476.3934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.commsp.ee.ic.ac.uk/~mandic/research/MUA_DPM_Multivariate_MSE_IEEE_SPL_2012.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1549386224","https://openalex.org/W1776514298","https://openalex.org/W1862394037","https://openalex.org/W1990785877","https://openalex.org/W2075171228","https://openalex.org/W2083928853","https://openalex.org/W2093266575","https://openalex.org/W2099857714","https://openalex.org/W2102568183","https://openalex.org/W2120589497","https://openalex.org/W2121383959","https://openalex.org/W2123563890","https://openalex.org/W2164102251","https://openalex.org/W2549956906","https://openalex.org/W3124661333","https://openalex.org/W3141408015"],"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/W2084594947","https://openalex.org/W4205160129","https://openalex.org/W2076258781","https://openalex.org/W2099197004","https://openalex.org/W2890995276"],"abstract_inverted_index":{"Multivariate":[0],"physical":[1,116],"and":[2,7,33,65,91,126,138],"biological":[3],"recordings":[4],"are":[5,28],"common":[6],"their":[8],"simultaneous":[9],"analysis":[10,143],"is":[11,56],"a":[12,44,57],"prerequisite":[13],"for":[14,30,81],"the":[15,18,100,130,145],"understanding":[16],"of":[17,20,47,61,72,114,124],"complexity":[19,71,113],"underlying":[21],"signal":[22],"generating":[23],"mechanisms.":[24],"Traditional":[25],"entropy":[26,54,89,103],"measures":[27],"maximized":[29],"random":[31],"processes":[32],"fail":[34],"to":[35,69,98,110],"quantify":[36],"inherent":[37],"long-range":[38],"dependencies":[39],"in":[40,129],"real":[41,139],"world":[42,140],"data,":[43,83],"key":[45],"feature":[46],"complex":[48],"systems.":[49],"The":[50],"recently":[51],"introduced":[52],"multiscale":[53,102],"(MSE)":[55],"univariate":[58],"method":[59,80],"capable":[60],"detecting":[62],"intrinsic":[63],"correlations":[64],"has":[66],"been":[67],"used":[68],"measure":[70],"single":[73],"channel":[74],"physiological":[75,118],"signals.":[76],"To":[77],"generalize":[78],"this":[79],"multichannel":[82],"we":[84],"first":[85],"introduce":[86],"multivariate":[87,101,115,135],"sample":[88],"(MSampEn)":[90],"evaluate":[92],"it":[93,108],"over":[94],"multiple":[95],"time":[96],"scales":[97],"perform":[99],"(MMSE)":[104],"analysis.":[105,131],"This":[106],"makes":[107],"possible":[109],"assess":[111],"structural":[112],"or":[117],"systems,":[119],"together":[120],"with":[121],"more":[122],"degrees":[123],"freedom":[125],"enhanced":[127],"rigor":[128],"Simulations":[132],"on":[133],"both":[134],"synthetic":[136],"data":[137],"postural":[141],"sway":[142],"support":[144],"approach.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":17},{"year":2017,"cited_by_count":22},{"year":2016,"cited_by_count":26},{"year":2015,"cited_by_count":21},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":13},{"year":2012,"cited_by_count":5}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
