{"id":"https://openalex.org/W2513140308","doi":"https://doi.org/10.1109/tbme.2016.2600160","title":"Are Nonlinear Model-Free Conditional Entropy Approaches for the Assessment of Cardiac Control Complexity Superior to the Linear Model-Based One?","display_name":"Are Nonlinear Model-Free Conditional Entropy Approaches for the Assessment of Cardiac Control Complexity Superior to the Linear Model-Based One?","publication_year":2016,"publication_date":"2016-08-16","ids":{"openalex":"https://openalex.org/W2513140308","doi":"https://doi.org/10.1109/tbme.2016.2600160","mag":"2513140308","pmid":"https://pubmed.ncbi.nlm.nih.gov/27541327"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2016.2600160","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2016.2600160","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"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 Transactions on Biomedical Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5033974415","display_name":"Alberto Porta","orcid":"https://orcid.org/0000-0002-6720-9824"},"institutions":[{"id":"https://openalex.org/I4210099239","display_name":"IRCCS Policlinico San Donato","ror":"https://ror.org/01220jp31","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210099239","https://openalex.org/I4210153126"]},{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Alberto Porta","raw_affiliation_strings":["Department of Biomedical Sciences for Health, University of Milan, Milan, Italy","Department of Cardiothoracic, Vascular Anesthesia and Intensive Care, IRCCS Policlinico San Donato, San Donato Milanese, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Sciences for Health, University of Milan, Milan, Italy","institution_ids":["https://openalex.org/I189158943"]},{"raw_affiliation_string":"Department of Cardiothoracic, Vascular Anesthesia and Intensive Care, IRCCS Policlinico San Donato, San Donato Milanese, Italy","institution_ids":["https://openalex.org/I4210099239"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050880536","display_name":"Beatrice De Maria","orcid":"https://orcid.org/0000-0001-5360-3137"},"institutions":[{"id":"https://openalex.org/I4210105320","display_name":"Fondazione Salvatore Maugeri","ror":"https://ror.org/01e8tvg28","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210105320","https://openalex.org/I4210153126"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Beatrice De Maria","raw_affiliation_strings":["IRCCS Fondazione Salvatore Maugeri"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IRCCS Fondazione Salvatore Maugeri","institution_ids":["https://openalex.org/I4210105320"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018102991","display_name":"Vlasta Bari","orcid":"https://orcid.org/0000-0002-5346-2677"},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Vlasta Bari","raw_affiliation_strings":["Department of Biomedical Sciences for Health, University of Milan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Sciences for Health, University of Milan","institution_ids":["https://openalex.org/I189158943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086883335","display_name":"Andrea Marchi","orcid":"https://orcid.org/0000-0001-5846-4164"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]},{"id":"https://openalex.org/I4210110840","display_name":"Azienda Ospedaliera San Gerardo","ror":"https://ror.org/01xf83457","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210110840"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Marchi","raw_affiliation_strings":["Department of Electronics Information and Bioengineering, Politecnico di Milano","Department of Emergency and Intensive Care, San Gerardo Hospital"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics Information and Bioengineering, Politecnico di Milano","institution_ids":["https://openalex.org/I93860229"]},{"raw_affiliation_string":"Department of Emergency and Intensive Care, San Gerardo Hospital","institution_ids":["https://openalex.org/I4210110840"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036606451","display_name":"Luca Faes","orcid":"https://orcid.org/0000-0002-3271-5348"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]},{"id":"https://openalex.org/I4210109975","display_name":"Provincia Autonoma di Trento","ror":"https://ror.org/017e99q89","country_code":"IT","type":"government","lineage":["https://openalex.org/I4210109975"]},{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca Faes","raw_affiliation_strings":["BIOtech, Department of Industrial Engineering, University of Trento","Implementazione della RiCerca Sanitaria Provincia Autonoma di Trento \u2013 Fondazione Bruno Kessler (IRCS PAT-FBK)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BIOtech, Department of Industrial Engineering, University of Trento","institution_ids":["https://openalex.org/I193223587"]},{"raw_affiliation_string":"Implementazione della RiCerca Sanitaria Provincia Autonoma di Trento \u2013 Fondazione Bruno Kessler (IRCS PAT-FBK)","institution_ids":["https://openalex.org/I4210109975","https://openalex.org/I2277624104"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5033974415"],"corresponding_institution_ids":["https://openalex.org/I189158943","https://openalex.org/I4210099239"],"apc_list":null,"apc_paid":null,"fwci":5.0409,"has_fulltext":false,"cited_by_count":65,"citation_normalized_percentile":{"value":0.96046258,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"64","issue":"6","first_page":"1287","last_page":"1296"},"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":0.9937999844551086,"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":0.9937999844551086,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.0010999999940395355,"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/T10217","display_name":"Cardiac electrophysiology and arrhythmias","score":0.0006000000284984708,"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":0.6968330144882202},{"id":"https://openalex.org/keywords/supine-position","display_name":"Supine position","score":0.6433082818984985},{"id":"https://openalex.org/keywords/approximate-entropy","display_name":"Approximate entropy","score":0.572697103023529},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5308799743652344},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.48852813243865967},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43105295300483704},{"id":"https://openalex.org/keywords/conditional-entropy","display_name":"Conditional entropy","score":0.4222356677055359},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41857272386550903},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.35257482528686523},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.34045565128326416},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.3192235827445984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3005460500717163},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2726883292198181},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.150429368019104},{"id":"https://openalex.org/keywords/surgery","display_name":"Surgery","score":0.12219998240470886},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11837351322174072},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.11523649096488953},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.09274694323539734}],"concepts":[{"id":"https://openalex.org/C66696666","wikidata":"https://www.wikidata.org/wiki/Q17105612","display_name":"Sample entropy","level":3,"score":0.6968330144882202},{"id":"https://openalex.org/C125567185","wikidata":"https://www.wikidata.org/wiki/Q3267428","display_name":"Supine position","level":2,"score":0.6433082818984985},{"id":"https://openalex.org/C86859247","wikidata":"https://www.wikidata.org/wiki/Q4781760","display_name":"Approximate entropy","level":3,"score":0.572697103023529},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5308799743652344},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.48852813243865967},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43105295300483704},{"id":"https://openalex.org/C101721835","wikidata":"https://www.wikidata.org/wiki/Q813908","display_name":"Conditional entropy","level":3,"score":0.4222356677055359},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41857272386550903},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.35257482528686523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34045565128326416},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.3192235827445984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3005460500717163},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2726883292198181},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.150429368019104},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.12219998240470886},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11837351322174072},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.11523649096488953},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.09274694323539734},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000070276","descriptor_name":"Heart Rate Determination","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000070276","descriptor_name":"Heart Rate Determination","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000070276","descriptor_name":"Heart Rate Determination","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006321","descriptor_name":"Heart","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":"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":"D008955","descriptor_name":"Models, Cardiovascular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008955","descriptor_name":"Models, Cardiovascular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008955","descriptor_name":"Models, Cardiovascular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","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":false},{"descriptor_ui":"D019277","descriptor_name":"Entropy","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":false},{"descriptor_ui":"D025461","descriptor_name":"Feedback, Physiological","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D025461","descriptor_name":"Feedback, Physiological","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D025461","descriptor_name":"Feedback, Physiological","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1109/tbme.2016.2600160","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2016.2600160","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"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 Transactions on Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:27541327","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27541327","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":"IEEE transactions on bio-medical engineering","raw_type":null},{"id":"pmh:oai:iris.unipa.it:10447/276382","is_oa":false,"landing_page_url":"http://hdl.handle.net/10447/276382","pdf_url":null,"source":{"id":"https://openalex.org/S4306401065","display_name":"Nova Science Publishers (Nova Science Publishers, Inc.)","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:re.public.polimi.it:11311/995446","is_oa":false,"landing_page_url":"http://hdl.handle.net/11311/995446","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1651818244","https://openalex.org/W1822973471","https://openalex.org/W1856016326","https://openalex.org/W1862394037","https://openalex.org/W1973581302","https://openalex.org/W1980474897","https://openalex.org/W1980964145","https://openalex.org/W1981994692","https://openalex.org/W1982531156","https://openalex.org/W1984177731","https://openalex.org/W1989415069","https://openalex.org/W1997560427","https://openalex.org/W1997976387","https://openalex.org/W1998627270","https://openalex.org/W2000561766","https://openalex.org/W2004707473","https://openalex.org/W2007805422","https://openalex.org/W2014476738","https://openalex.org/W2014683958","https://openalex.org/W2017762100","https://openalex.org/W2024472792","https://openalex.org/W2031377725","https://openalex.org/W2033681957","https://openalex.org/W2036681456","https://openalex.org/W2046810657","https://openalex.org/W2047808693","https://openalex.org/W2051264742","https://openalex.org/W2057887447","https://openalex.org/W2064239243","https://openalex.org/W2065412048","https://openalex.org/W2065418933","https://openalex.org/W2066672028","https://openalex.org/W2068034852","https://openalex.org/W2079656335","https://openalex.org/W2083404961","https://openalex.org/W2085710880","https://openalex.org/W2088176974","https://openalex.org/W2092939357","https://openalex.org/W2097657338","https://openalex.org/W2109877128","https://openalex.org/W2118183148","https://openalex.org/W2119557840","https://openalex.org/W2123029908","https://openalex.org/W2127103681","https://openalex.org/W2131949806","https://openalex.org/W2142379932","https://openalex.org/W2142635246","https://openalex.org/W2145593241","https://openalex.org/W2151943306","https://openalex.org/W2159472025","https://openalex.org/W2164249944","https://openalex.org/W2166186596","https://openalex.org/W2171138447","https://openalex.org/W2176426501","https://openalex.org/W2206412281","https://openalex.org/W2256165411","https://openalex.org/W2285072859","https://openalex.org/W2326655560","https://openalex.org/W4232239282","https://openalex.org/W6638792332","https://openalex.org/W6639343545","https://openalex.org/W6649721084","https://openalex.org/W6688581666"],"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":{"OBJECTIVE:":[0],"We":[1],"test":[2],"the":[3,6,12,23,26,45,63,132,156,161,180,187,199,202,205,212,220,224,237],"hypothesis":[4],"that":[5],"linear":[7],"model-based":[8],"(MB)":[9],"approach":[10,73,193,222],"for":[11],"estimation":[13],"of":[14,25,36,55,62,119,148,155,164,176,201,204,219,239],"conditional":[15],"entropy":[16],"(CE)":[17],"can":[18,194],"be":[19,195],"utilized":[20,196],"to":[21,50,197],"assess":[22],"complexity":[24,58,166,203,231],"cardiac":[27,56,206,229],"control":[28,57,230],"in":[29,40,103,109,159,172,228],"healthy":[30,105],"individuals.":[31],"METHODS:":[32],"An":[33],"MB":[34,72,157,181,192,221],"estimate":[35],"CE":[37,95,213],"was":[38,74,101,129,142,171,183],"tested":[39],"an":[41],"experimental":[42],"protocol":[43],"(i.e.,":[44],"graded":[46],"head-up":[47,114],"tilt)":[48],"known":[49],"produce":[51],"a":[52,60],"gradual":[53],"decrease":[54,163],"as":[59,84,131],"result":[61],"progressive":[64,162],"vagal":[65],"withdrawal":[66],"and":[67,97,112,124,140,179,242],"concomitant":[68],"sympathetic":[69],"activation.":[70],"The":[71,153,191,216],"compared":[75],"with":[76,116,167,174,186],"traditionally":[77],"exploited":[78],"nonlinear":[79],"model-free":[80],"(MF)":[81],"techniques":[82,241],"such":[83],"corrected":[85,90],"approximate":[86],"entropy,":[87,89],"sample":[88],"CE,":[91,235],"two":[92,136],"k":[93],"-nearest-neighbor":[94],"procedures":[96],"permutation":[98],"CE.":[99],"Electrocardiogram":[100],"recorded":[102],"17":[104],"subjects":[106],"at":[107],"rest":[108],"supine":[110],"position":[111],"during":[113],"tilt":[115,168],"table":[117,169],"angles":[118,170],"15\u00b0,":[120],"30\u00b0,":[121],"45\u00b0,":[122],"60\u00b0,":[123],"75\u00b0.":[125],"Heart":[126],"period":[127],"(HP)":[128],"derived":[130],"temporal":[133],"distance":[134],"between":[135],"consecutive":[137],"R-wave":[138],"peaks":[139],"analysis":[141,232],"carried":[143],"out":[144],"over":[145],"stationary":[146],"sequences":[147],"256":[149],"successive":[150],"HPs.":[151],"RESULTS:":[152],"performance":[154,218],"method":[158],"following":[160],"HP":[165],"line":[173],"those":[175],"MF":[177,188,240],"approaches":[178],"index":[182],"remarkably":[184],"correlated":[185],"ones.":[189],"CONCLUSION:":[190],"monitor":[198],"changes":[200],"control,":[207],"thus":[208],"speeding":[209],"up":[210],"dramatically":[211],"calculation.":[214],"SIGNIFICANCE:":[215],"remarkable":[217],"challenges":[223],"notion,":[225],"generally":[226],"assumed":[227],"based":[233],"on":[234],"about":[236],"need":[238],"could":[243],"allow":[244],"real-time":[245],"applications.":[246]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2025-10-10T00:00:00"}
