{"id":"https://openalex.org/W2537343323","doi":"https://doi.org/10.1109/embc.2016.7592152","title":"Effect of embedding dimension on complexity measures in identifying Arrhythmia","display_name":"Effect of embedding dimension on complexity measures in identifying Arrhythmia","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2537343323","doi":"https://doi.org/10.1109/embc.2016.7592152","mag":"2537343323","pmid":"https://pubmed.ncbi.nlm.nih.gov/28269675"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2016.7592152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2016.7592152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Effect_of_embedding_dimension_on_complexity_measures_in_identifying_Arrhythmia/20861881","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036562950","display_name":"Radhagayathri K. Udhayakumar","orcid":"https://orcid.org/0000-0003-2647-7387"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Radhagayathri K. Udhayakumar","raw_affiliation_strings":["Department of Electrical & Electronic Engineering, The University of Melbourne, Melbourne, VIC, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical & Electronic Engineering, The University of Melbourne, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001203013","display_name":"Chandan Karmakar","orcid":"https://orcid.org/0000-0003-1814-0856"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]},{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chandan Karmakar","raw_affiliation_strings":["Department of Electrical & Electronic Engineering, The University of Melbourne, Melbourne, VIC, Australia","Pattern Recognition and Data Analytics (PRaDA), Deakin University, Geelong, VIC, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical & Electronic Engineering, The University of Melbourne, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]},{"raw_affiliation_string":"Pattern Recognition and Data Analytics (PRaDA), Deakin University, Geelong, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100457855","display_name":"Peng Li","orcid":"https://orcid.org/0000-0002-4684-4909"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Li","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080554686","display_name":"Marimuthu Palaniswami","orcid":"https://orcid.org/0000-0002-3635-4252"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Marimuthu Palaniswami","raw_affiliation_strings":["Department of Electrical & Electronic Engineering, The University of Melbourne, Melbourne, VIC, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical & Electronic Engineering, The University of Melbourne, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4583,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.72482337,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"278","issue":null,"first_page":"6230","last_page":"6233"},"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":0.9994999766349792,"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":0.9994999766349792,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9817000031471252,"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/sample-entropy","display_name":"Sample entropy","score":0.8232383728027344},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5827081203460693},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5491939187049866},{"id":"https://openalex.org/keywords/heart-rate-variability","display_name":"Heart rate variability","score":0.5414405465126038},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.44671767950057983},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4301398694515228},{"id":"https://openalex.org/keywords/approximate-entropy","display_name":"Approximate entropy","score":0.4217713475227356},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3371223509311676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24847790598869324},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.20422717928886414},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10664433240890503},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.09879717230796814},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09446308016777039},{"id":"https://openalex.org/keywords/heart-rate","display_name":"Heart rate","score":0.09197920560836792}],"concepts":[{"id":"https://openalex.org/C66696666","wikidata":"https://www.wikidata.org/wiki/Q17105612","display_name":"Sample entropy","level":3,"score":0.8232383728027344},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5827081203460693},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5491939187049866},{"id":"https://openalex.org/C71635504","wikidata":"https://www.wikidata.org/wiki/Q933954","display_name":"Heart rate variability","level":4,"score":0.5414405465126038},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.44671767950057983},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4301398694515228},{"id":"https://openalex.org/C86859247","wikidata":"https://www.wikidata.org/wiki/Q4781760","display_name":"Approximate entropy","level":3,"score":0.4217713475227356},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3371223509311676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24847790598869324},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.20422717928886414},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10664433240890503},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.09879717230796814},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09446308016777039},{"id":"https://openalex.org/C2777953023","wikidata":"https://www.wikidata.org/wiki/Q1073121","display_name":"Heart rate","level":3,"score":0.09197920560836792},{"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/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D001145","descriptor_name":"Arrhythmias, Cardiac","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D001145","descriptor_name":"Arrhythmias, Cardiac","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D001145","descriptor_name":"Arrhythmias, Cardiac","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D006339","descriptor_name":"Heart Rate","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006339","descriptor_name":"Heart Rate","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006339","descriptor_name":"Heart Rate","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1109/embc.2016.7592152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2016.7592152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:28269675","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28269675","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null},{"id":"pmh:oai:dro.deakin.edu.au:DU:30093194","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402457","display_name":"Deakin Research Online (Deakin University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},{"id":"pmh:oai:figshare.com:article/20861881","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Effect_of_embedding_dimension_on_complexity_measures_in_identifying_Arrhythmia/20861881","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/20861881","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Effect_of_embedding_dimension_on_complexity_measures_in_identifying_Arrhythmia/20861881","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1862394037","https://openalex.org/W1964000773","https://openalex.org/W1989773682","https://openalex.org/W2006803905","https://openalex.org/W2014683958","https://openalex.org/W2028490525","https://openalex.org/W2070051876","https://openalex.org/W2077204677","https://openalex.org/W2095409369","https://openalex.org/W2116002001","https://openalex.org/W2121770664","https://openalex.org/W2162800060","https://openalex.org/W6639343545"],"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/W2890995276","https://openalex.org/W4381804751","https://openalex.org/W2076258781"],"abstract_inverted_index":{"Entropy":[0],"measures":[1,77,114,165,217],"like":[2,78],"Approximate":[3],"entropy":[4,8,76,80,83,87,164,299],"(ApEn)":[5],"and":[6,31,42,57,85,140,150,184,187,212,236,264,279,316],"Sample":[7],"(SampEn)":[9],"are":[10,34,115,214],"well":[11],"established":[12],"tools":[13],"to":[14,39,122,146,168,198,218,313],"analyze":[15,147],"Heart":[16],"Rate":[17],"Variability":[18],"(HRV)":[19],"data.":[20],"Critical":[21],"parameters":[22],"involved":[23],"in":[24,35,62,128,318],"these":[25],"computations":[26],"namely":[27],"embedding":[28,177],"dimension":[29,178],"m":[30,111,129,180,247,255,287,308],"tolerance":[32],"r":[33,67,95],"most":[36,277],"cases":[37],"assumed":[38,108],"be":[40,123,309],"2":[41],"0.2*signal":[43],"SD":[44],"(standard":[45],"devaition)":[46],"respectively.":[47,238],"Such":[48],"assumptions":[49],"do":[50],"not":[51],"work":[52],"fairly":[53],"across":[54],"data":[55,118,139,193],"sets":[56],"thus":[58],"create":[59],"misleading":[60],"results":[61],"many":[63],"cases.":[64],"Problems":[65],"with":[66,71,166,244,311],"have":[68,200],"been":[69,201],"addressed":[70],"the":[72,99,102,132,153,160,204,215,226,260,269,276,294,305],"advent":[73],"of":[74,104,110,134,152,162,176,209,268,271,296,307],"newer":[75],"Permutation":[79],"(PE),":[81],"Fuzzy":[82],"(FuzzyEn)":[84],"Distribution":[86],"(DistEn)":[88],"that":[89,304],"simply":[90],"eliminate,":[91],"modify":[92],"or":[93],"replace":[94],"from":[96,137,196],"calculations.":[97],"On":[98],"other":[100,298],"hand,":[101],"disadvantage":[103],"using":[105],"a":[106],"fixed":[107],"choice":[109,208,270],"when":[112],"such":[113],"used":[116,202],"for":[117,203,246,290],"classification":[119,170,319],"is":[120,143,302],"yet":[121],"investigated.":[124],"The":[125],"smallest":[126],"variation":[127],"may":[130],"effect":[131],"extent":[133],"information":[135],"retrieval":[136],"HRV":[138],"hence":[141],"it":[142,301],"extremely":[144],"important":[145],"different":[148,163,174],"possibilities":[149],"outcomes":[151],"same.":[154],"In":[155,293],"this":[156],"study,":[157],"we":[158],"scrutinize":[159],"behavior":[161],"regard":[167],"their":[169],"performance":[171,241,274],"at":[172,192,254,286],"four":[173],"values":[175,229],"i.e.,":[179],"=":[181,256,288],"2,":[182],"3,4":[183],"5.":[185],"Normal":[186],"Arrhythmic":[188,220],"RR":[189],"intervals":[190],"taken":[191],"lengths":[194],"ranging":[195],"50":[197],"1000":[199],"purpose.":[205],"At":[206],"any":[207],"m,":[210,272],"DistEn":[211,273],"PE":[213,240],"best":[216],"classify":[219],"data,":[221],"whose":[222],"AUC":[223],"(Area":[224],"under":[225],"ROC":[227],"curve)":[228],"can":[230],"go":[231],"as":[232,234],"high":[233],"0.94":[235],"1":[237],"However":[239],"becomes":[242],"unstable":[243],"N":[245],">":[248],"3":[249],"(highest":[250,281],"\u0394":[251,258,282],"being":[252,259,283],"0.3":[253],"5,":[257],"difference":[261],"between":[262],"minimum":[263],"maximum":[265],"AUC).":[266],"Irrespective":[267],"remains":[275],"efficient":[278],"stable":[280],"only":[284],"0.03":[285],"4)":[289],"Arrhythmia":[291],"classification.":[292],"case":[295],"all":[297],"measures,":[300],"recommended":[303],"value":[306],"chosen":[310],"discretion":[312],"ensure":[314],"stability":[315],"efficiency":[317],"performance.":[320]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
