{"id":"https://openalex.org/W2953491588","doi":"https://doi.org/10.1109/embc.2019.8856554","title":"Application of Dispersion Entropy to Healthy and Pathological Heartbeat ECG Segments","display_name":"Application of Dispersion Entropy to Healthy and Pathological Heartbeat ECG Segments","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2953491588","doi":"https://doi.org/10.1109/embc.2019.8856554","mag":"2953491588","pmid":"https://pubmed.ncbi.nlm.nih.gov/31946352"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2019.8856554","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2019.8856554","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 41st 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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045544368","display_name":"Evangelos Kafantaris","orcid":"https://orcid.org/0000-0001-9599-7656"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Evangelos Kafantaris","raw_affiliation_strings":["School of Engineering, Institute for Digital Communications, University of Edinburgh, Edinburgh, U.K"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Institute for Digital Communications, University of Edinburgh, Edinburgh, U.K","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107967265","display_name":"Ian Piper","orcid":"https://orcid.org/0000-0003-1434-6347"},"institutions":[{"id":"https://openalex.org/I4210164624","display_name":"The Queen's Medical Research Institute","ror":"https://ror.org/059zxg644","country_code":"GB","type":"government","lineage":["https://openalex.org/I4210164624","https://openalex.org/I98677209"]},{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ian Piper","raw_affiliation_strings":["Usher Institute of Population Health Sciences and Informatics, Edinburgh Medical School, University of Edinburgh, Edinburgh, U.K"],"affiliations":[{"raw_affiliation_string":"Usher Institute of Population Health Sciences and Informatics, Edinburgh Medical School, University of Edinburgh, Edinburgh, U.K","institution_ids":["https://openalex.org/I98677209","https://openalex.org/I4210164624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001849266","display_name":"Tsz-Yan Milly Lo","orcid":"https://orcid.org/0000-0003-0701-6534"},"institutions":[{"id":"https://openalex.org/I4210164624","display_name":"The Queen's Medical Research Institute","ror":"https://ror.org/059zxg644","country_code":"GB","type":"government","lineage":["https://openalex.org/I4210164624","https://openalex.org/I98677209"]},{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tsz-Yan Milly Lo","raw_affiliation_strings":["Usher Institute of Population Health Sciences and Informatics, Edinburgh Medical School, University of Edinburgh, Edinburgh, U.K"],"affiliations":[{"raw_affiliation_string":"Usher Institute of Population Health Sciences and Informatics, Edinburgh Medical School, University of Edinburgh, Edinburgh, U.K","institution_ids":["https://openalex.org/I98677209","https://openalex.org/I4210164624"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060254662","display_name":"Javier Escudero","orcid":"https://orcid.org/0000-0002-2105-8725"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Javier Escudero","raw_affiliation_strings":["School of Engineering, Institute for Digital Communications, University of Edinburgh, Edinburgh, U.K"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Institute for Digital Communications, University of Edinburgh, Edinburgh, U.K","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5045544368"],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":0.9659,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.77878461,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2019","issue":null,"first_page":"2269","last_page":"2272"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9998000264167786,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9998000264167786,"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":0.9980999827384949,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.995199978351593,"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/heartbeat","display_name":"Heartbeat","score":0.939480185508728},{"id":"https://openalex.org/keywords/approximate-entropy","display_name":"Approximate entropy","score":0.6422492861747742},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5953967571258545},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5926511287689209},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5715713500976562},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5367058515548706},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4881046712398529},{"id":"https://openalex.org/keywords/sample-entropy","display_name":"Sample entropy","score":0.42588409781455994},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10886672139167786}],"concepts":[{"id":"https://openalex.org/C13852961","wikidata":"https://www.wikidata.org/wiki/Q17021880","display_name":"Heartbeat","level":2,"score":0.939480185508728},{"id":"https://openalex.org/C86859247","wikidata":"https://www.wikidata.org/wiki/Q4781760","display_name":"Approximate entropy","level":3,"score":0.6422492861747742},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5953967571258545},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5926511287689209},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5715713500976562},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5367058515548706},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4881046712398529},{"id":"https://openalex.org/C66696666","wikidata":"https://www.wikidata.org/wiki/Q17105612","display_name":"Sample entropy","level":3,"score":0.42588409781455994},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10886672139167786},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"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/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[{"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":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006339","descriptor_name":"Heart Rate","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006339","descriptor_name":"Heart Rate","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006339","descriptor_name":"Heart Rate","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006339","descriptor_name":"Heart Rate","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":"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":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","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":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2019.8856554","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2019.8856554","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:31946352","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31946352","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}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8279072368","display_name":null,"funder_award_id":"MR/R004498/1","funder_id":"https://openalex.org/F4320334626","funder_display_name":"Medical Research Council"}],"funders":[{"id":"https://openalex.org/F4320334626","display_name":"Medical Research Council","ror":"https://ror.org/03x94j517"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1520541865","https://openalex.org/W1987466684","https://openalex.org/W2059851411","https://openalex.org/W2095409369","https://openalex.org/W2120059575","https://openalex.org/W2133435239","https://openalex.org/W2133849899","https://openalex.org/W2149445461","https://openalex.org/W2157881370","https://openalex.org/W2162800060","https://openalex.org/W2251133041","https://openalex.org/W2333775360","https://openalex.org/W2792354770","https://openalex.org/W2890016903","https://openalex.org/W2914376548","https://openalex.org/W4238303387","https://openalex.org/W6819772346"],"related_works":["https://openalex.org/W2093589470","https://openalex.org/W2415751681","https://openalex.org/W2889925888","https://openalex.org/W1862394037","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":[0,32],"quantification":[1,9],"algorithms":[2,106,115],"are":[3],"a":[4,35],"prominent":[5,90],"tool":[6],"for":[7,46,57,78,116],"the":[8,17,20,28,40,52,58,70,79,117],"of":[10,19,23,30,42,49,54,61,82,119],"irregularity":[11],"in":[12,64,91],"biological":[13],"signal":[14,44,124],"segments":[15,45],"towards":[16],"characterization":[18],"physiological":[21],"state":[22],"individuals.":[24,65],"This":[25,99],"paper":[26],"investigates":[27],"potential":[29,59],"Dispersion":[31],"(DisEn)":[33],"as":[34],"non-linear":[36],"method":[37],"to":[38],"quantify":[39],"uncertainty":[41],"ECG":[43,123],"different":[47],"types":[48,81],"heartbeats":[50,56,93,96],"and":[51,94,113],"stratification":[53],"healthy":[55],"detection":[60,112],"developing":[62],"pathologies":[63],"Our":[66],"results":[67],"indicate":[68],"that":[69],"DisEn":[71,86,105],"algorithm":[72],"produces":[73],"distributions":[74],"with":[75,84,102,110],"significant":[76],"differences":[77],"considered":[80],"heartbeats,":[83],"higher":[85],"values":[87],"being":[88],"more":[89],"pathological":[92],"normal":[95],"preceding":[97],"them.":[98],"suggests":[100],"that,":[101],"further":[103],"research,":[104],"can":[107],"be":[108],"integrated":[109],"heartbeat":[111],"classification":[114],"improvement":[118],"medical":[120],"prognosis":[121],"through":[122],"processing.":[125]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
